critical thinking and argumentation

Unit 1: What Is Philosophy?

LOGOS: Critical Thinking, Arguments, and Fallacies

Heather Wilburn, Ph.D

Critical Thinking:

With respect to critical thinking, it seems that everyone uses this phrase. Yet, there is a fear that this is becoming a buzz-word (i.e. a word or phrase you use because it’s popular or enticing in some way). Ultimately, this means that we may be using the phrase without a clear sense of what we even mean by it. So, here we are going to think about what this phrase might mean and look at some examples. As a former colleague of mine, Henry Imler, explains:

By critical thinking, we refer to thinking that is recursive in nature. Any time we encounter new information or new ideas, we double back and rethink our prior conclusions on the subject to see if any other conclusions are better suited. Critical thinking can be contrasted with Authoritarian thinking. This type of thinking seeks to preserve the original conclusion. Here, thinking and conclusions are policed, as to question the system is to threaten the system. And threats to the system demand a defensive response. Critical thinking is short-circuited in authoritarian systems so that the conclusions are conserved instead of being open for revision. [1]

A condition for being recursive is to be open and not arrogant. If we come to a point where we think we have a handle on what is True, we are no longer open to consider, discuss, or accept information that might challenge our Truth. One becomes closed off and rejects everything that is different or strange–out of sync with one’s own Truth. To be open and recursive entails a sense of thinking about your beliefs in a critical and reflective way, so that you have a chance to either strengthen your belief system or revise it if needed. I have been teaching philosophy and humanities classes for nearly 20 years; critical thinking is the single most important skill you can develop. In close but second place is communication, In my view, communication skills follow as a natural result of critical thinking because you are attempting to think through and articulate stronger and rationally justified views. At the risk of sounding cliche, education isn’t about instilling content; it is about learning how to think.

In your philosophy classes your own ideas and beliefs will very likely be challenged. This does not mean that you will be asked to abandon your beliefs, but it does mean that you might be asked to defend them. Additionally, your mind will probably be twisted and turned about, which can be an uncomfortable experience. Yet, if at all possible, you should cherish these experiences and allow them to help you grow as a thinker. To be challenged and perplexed is difficult; however, it is worthwhile because it compels deeper thinking and more significant levels of understanding. In turn, thinking itself can transform us not only in thought, but in our beliefs, and our actions. Hannah Arendt, a social and political philosopher that came to the United States in exile during WWII, relates the transformative elements of philosophical thinking to Socrates. She writes:

Socrates…who is commonly said to have believed in the teachability of virtue, seems to have held that talking and thinking about piety, justice, courage, and the rest were liable to make men more pious, more just, more courageous, even though they were not given definitions or “values” to direct their further conduct. [2]

Thinking and communication are transformative insofar as these activities have the potential to alter our perspectives and, thus, change our behavior. In fact, Arendt connects the ability to think critically and reflectively to morality. As she notes above, morality does not have to give a predetermined set of rules to affect our behavior. Instead, morality can also be related to the open and sometimes perplexing conversations we have with others (and ourselves) about moral issues and moral character traits. Theodor W. Adorno, another philosopher that came to the United States in exile during WWII, argues that autonomous thinking (i.e. thinking for oneself) is crucial if we want to prevent the occurrence of another event like Auschwitz, a concentration camp where over 1 million individuals died during the Holocaust. [3] To think autonomously entails reflective and critical thinking—a type of thinking rooted in philosophical activity and a type of thinking that questions and challenges social norms and the status quo. In this sense thinking is critical of what is, allowing us to think beyond what is and to think about what ought to be, or what ought not be. This is one of the transformative elements of philosophical activity and one that is useful in promoting justice and ethical living.

With respect to the meaning of education, the German philosopher Hegel uses the term bildung, which means education or upbringing, to indicate the differences between the traditional type of education that focuses on facts and memorization, and education as transformative. Allen Wood explains how Hegel uses the term bildung: it is “a process of self-transformation and an acquisition of the power to grasp and articulate the reasons for what one believes or knows.” [4] If we think back through all of our years of schooling, particularly those subject matters that involve the teacher passing on information that is to be memorized and repeated, most of us would be hard pressed to recall anything substantial. However, if the focus of education is on how to think and the development of skills include analyzing, synthesizing, and communicating ideas and problems, most of us will use those skills whether we are in the field of philosophy, politics, business, nursing, computer programming, or education. In this sense, philosophy can help you develop a strong foundational skill set that will be marketable for your individual paths. While philosophy is not the only subject that will foster these skills, its method is one that heavily focuses on the types of activities that will help you develop such skills.

Let’s turn to discuss arguments. Arguments consist of a set of statements, which are claims that something is or is not the case, or is either true or false. The conclusion of your argument is a statement that is being argued for, or the point of view being argued for. The other statements serve as evidence or support for your conclusion; we refer to these statements as premises. It’s important to keep in mind that a statement is either true or false, so questions, commands, or exclamations are not statements. If we are thinking critically we will not accept a statement as true or false without good reason(s), so our premises are important here. Keep in mind the idea that supporting statements are called premises and the statement that is being supported is called the conclusion. Here are a couple of examples:

Example 1: Capital punishment is morally justifiable since it restores some sense of

balance to victims or victims’ families.

Let’s break it down so it’s easier to see in what we might call a typical argument form:

Premise: Capital punishment restores some sense of balance to victims or victims’ families.

Conclusion: Capital punishment is morally justifiable.

Example 2 : Because innocent people are sometimes found guilty and potentially

executed, capital punishment is not morally justifiable.

Premise: Innocent people are sometimes found guilty and potentially executed.

Conclusion: Capital punishment is not morally justifiable.

It is worth noting the use of the terms “since” and “because” in these arguments. Terms or phrases like these often serve as signifiers that we are looking at evidence, or a premise.

Check out another example:

Example 3 : All human beings are mortal. Heather is a human being. Therefore,

Heather is mortal.

Premise 1: All human beings are mortal.

Premise 2: Heather is a human being.

Conclusion: Heather is mortal.

In this example, there are a couple of things worth noting: First, there can be more than one premise. In fact, you could have a rather complex argument with several premises. If you’ve written an argumentative paper you may have encountered arguments that are rather complex. Second, just as the arguments prior had signifiers to show that we are looking at evidence, this argument has a signifier (i.e. therefore) to demonstrate the argument’s conclusion.

So many arguments!!! Are they all equally good?

No, arguments are not equally good; there are many ways to make a faulty argument. In fact, there are a lot of different types of arguments and, to some extent, the type of argument can help us figure out if the argument is a good one. For a full elaboration of arguments, take a logic class! Here’s a brief version:

Deductive Arguments: in a deductive argument the conclusion necessarily follows the premises. Take argument Example 3 above. It is absolutely necessary that Heather is a mortal, if she is a human being and if mortality is a specific condition for being human. We know that all humans die, so that’s tight evidence. This argument would be a very good argument; it is valid (i.e the conclusion necessarily follows the premises) and it is sound (i.e. all the premises are true).

Inductive Arguments : in an inductive argument the conclusion likely (at best) follows the premises. Let’s have an example:

Example 4 : 98.9% of all TCC students like pizza. You are a TCC student. Thus, you like pizza.

Premise 1: 98.9% of all TCC students like pizza

Premise 2: You are a TCC student.

Conclusion: You like pizza. (*Thus is a conclusion indicator)

In this example, the conclusion doesn’t necessarily follow; it likely follows. But you might be part of that 1.1% for whatever reason. Inductive arguments are good arguments if they are strong. So, instead of saying an inductive argument is valid, we say it is strong. You can also use the term sound to describe the truth of the premises, if they are true. Let’s suppose they are true and you absolutely love Hideaway pizza. Let’s also assume you are a TCC student. So, the argument is really strong and it is sound.

There are many types of inductive argument, including: causal arguments, arguments based on probabilities or statistics, arguments that are supported by analogies, and arguments that are based on some type of authority figure. So, when you encounter an argument based on one of these types, think about how strong the argument is. If you want to see examples of the different types, a web search (or a logic class!) will get you where you need to go.

Some arguments are faulty, not necessarily because of the truth or falsity of the premises, but because they rely on psychological and emotional ploys. These are bad arguments because people shouldn’t accept your conclusion if you are using scare tactics or distracting and manipulating reasoning. Arguments that have this issue are called fallacies. There are a lot of fallacies, so, again, if you want to know more a web search will be useful. We are going to look at several that seem to be the most relevant for our day-to-day experiences.

• Inappropriate Appeal to Authority : We are definitely going to use authority figures in our lives (e.g. doctors, lawyers, mechanics, financial advisors, etc.), but we need to make sure that the authority figure is a reliable one.

Things to look for here might include: reputation in the field, not holding widely controversial views, experience, education, and the like. So, if we take an authority figure’s word and they’re not legit, we’ve committed the fallacy of appeal to authority.

Example 5 : I think I am going to take my investments to Voya. After all, Steven Adams advocates for Voya in an advertisement I recently saw.

If we look at the criteria for evaluating arguments that appeal to authority figures, it is pretty easy to see that Adams is not an expert in the finance field. Thus, this is an inappropropriate appeal to authority.

• Slippery Slope Arguments : Slippery slope arguments are found everywhere it seems. The essential characteristic of a slippery slope argument is that it uses problematic premises to argue that doing ‘x’ will ultimately lead to other actions that are extreme, unlikely, and disastrous. You can think of this type of argument as a faulty chain of events or domino effect type of argument.

Example 6 : If you don’t study for your philosophy exam you will not do well on the exam. This will lead to you failing the class. The next thing you know you will have lost your scholarship, dropped out of school, and will be living on the streets without any chance of getting a job.

While you should certainly study for your philosophy exam, if you don’t it is unlikely that this will lead to your full economic demise.

One challenge to evaluating slippery slope arguments is that they are predictions, so we cannot be certain about what will or will not actually happen. But this chain of events type of argument should be assessed in terms of whether the outcome will likely follow if action ‘x” is pursued.

• Faulty Analogy : We often make arguments based on analogy and these can be good arguments. But we often use faulty reasoning with analogies and this is what we want to learn how to avoid.

When evaluating an argument that is based on an analogy here are a few things to keep in mind: you want to look at the relevant similarities and the relevant differences between the things that are being compared. As a general rule, if there are more differences than similarities the argument is likely weak.

Example 7 : Alcohol is legal. Therefore, we should legalize marijuana too.

So, the first step here is to identify the two things being compared, which are alcohol and marijuana. Next, note relevant similarities and differences. These might include effects on health, community safety, economic factors, criminal justice factors, and the like.

This is probably not the best argument in support for marijuana legalization. It would seem that one could just as easily conclude that since marijuana is illegal, alcohol should be too. In fact, one might find that alcohol is an often abused and highly problematic drug for many people, so it is too risky to legalize marijuana if it is similar to alcohol.

• Appeal to Emotion : Arguments should be based on reason and evidence, not emotional tactics. When we use an emotional tactic, we are essentially trying to manipulate someone into accepting our position by evoking pity or fear, when our positions should actually be backed by reasonable and justifiable evidence.

Example 8 : Officer please don’t give me a speeding ticket. My girlfriend broke up with me last night, my alarm didn’t go off this morning, and I’m late for class.

While this is a really horrible start to one’s day, being broken up with and an alarm malfunctioning is not a justifiable reason for speeding.

Example 9 : Professor, I’d like you to remember that my mother is a dean here at TCC. I’m sure that she will be very disappointed if I don’t receive an A in your class.

This is a scare tactic and is not a good way to make an argument. Scare tactics can come in the form of psychological or physical threats; both forms are to be avoided.

• Appeal to Ignorance : This fallacy occurs when our argument relies on lack of evidence when evidence is actually needed to support a position.

Example 10 : No one has proven that sasquatch doesn’t exist; therefore it does exist.

Example 11 : No one has proven God exists; therefore God doesn’t exist.

The key here is that lack of evidence against something cannot be an argument for something. Lack of evidence can only show that we are ignorant of the facts.

• Straw Man : A straw man argument is a specific type of argument that is intended to weaken an opponent’s position so that it is easier to refute. So, we create a weaker version of the original argument (i.e. a straw man argument), so when we present it everyone will agree with us and denounce the original position.

Example 12 : Women are crazy arguing for equal treatment. No one wants women hanging around men’s locker rooms or saunas.

This is a misrepresentation of arguments for equal treatment. Women (and others arguing for equal treatment) are not trying to obtain equal access to men’s locker rooms or saunas.

The best way to avoid this fallacy is to make sure that you are not oversimplifying or misrepresenting others’ positions. Even if we don’t agree with a position, we want to make the strongest case against it and this can only be accomplished if we can refute the actual argument, not a weakened version of it. So, let’s all bring the strongest arguments we have to the table!

• Red Herring : A red herring is a distraction or a change in subject matter. Sometimes this is subtle, but if you find yourself feeling lost in the argument, take a close look and make sure there is not an attempt to distract you.

Example 13 : Can you believe that so many people are concerned with global warming? The real threat to our country is terrorism.

It could be the case that both global warming and terrorism are concerns for us. But the red herring fallacy is committed when someone tries to distract you from the argument at hand by bringing up another issue or side-stepping a question. Politicians are masters at this, by the way.

• Appeal to the Person : This fallacy is also referred to as the ad hominem fallacy. We commit this fallacy when we dismiss someone’s argument or position by attacking them instead of refuting the premises or support for their argument.

Example 14 : I am not going to listen to what Professor ‘X’ has to say about the history of religion. He told one of his previous classes he wasn’t religious.

The problem here is that the student is dismissing course material based on the professor’s religious views and not evaluating the course content on its own ground.

To avoid this fallacy, make sure that you target the argument or their claims and not the person making the argument in your rebuttal.

• Hasty Generalization : We make and use generalizations on a regular basis and in all types of decisions. We rely on generalizations when trying to decide which schools to apply to, which phone is the best for us, which neighborhood we want to live in, what type of job we want, and so on. Generalizations can be strong and reliable, but they can also be fallacious. There are three main ways in which a generalization can commit a fallacy: your sample size is too small, your sample size is not representative of the group you are making a generalization about, or your data could be outdated.

Example 15 : I had horrible customer service at the last Starbucks I was at. It is clear that Starbucks employees do not care about their customers. I will never visit another Starbucks again.

The problem with this generalization is that the claim made about all Starbucks is based on one experience. While it is tempting to not spend your money where people are rude to their customers, this is only one employee and presumably doesn’t reflect all employees or the company as a whole. So, to make this a stronger generalization we would want to have a larger sample size (multiple horrible experiences) to support the claim. Let’s look at a second hasty generalization:

Example 16 : I had horrible customer service at the Starbucks on 81st street. It is clear that Starbucks employees do not care about their customers. I will never visit another Starbucks again.

The problem with this generalization mirrors the previous problem in that the claim is based on only one experience. But there’s an additional issue here as well, which is that the claim is based off of an experience at one location. To make a claim about the whole company, our sample group needs to be larger than one and it needs to come from a variety of locations.

• Begging the Question : An argument begs the question when the argument’s premises assume the conclusion, instead of providing support for the conclusion. One common form of begging the question is referred to as circular reasoning.

Example 17 : Of course, everyone wants to see the new Marvel movie is because it is the most popular movie right now!

The conclusion here is that everyone wants to see the new Marvel movie, but the premise simply assumes that is the case by claiming it is the most popular movie. Remember the premise should give reasons for the conclusion, not merely assume it to be true.

• Equivocation : In the English language there are many words that have different meanings (e.g. bank, good, right, steal, etc.). When we use the same word but shift the meaning without explaining this move to your audience, we equivocate the word and this is a fallacy. So, if you must use the same word more than once and with more than one meaning you need to explain that you’re shifting the meaning you intend. Although, most of the time it is just easier to use a different word.

Example 18 : Yes, philosophy helps people argue better, but should we really encourage people to argue? There is enough hostility in the world.

Here, argue is used in two different senses. The meaning of the first refers to the philosophical meaning of argument (i.e. premises and a conclusion), whereas the second sense is in line with the common use of argument (i.e. yelling between two or more people, etc.).

• Henry Imler, ed., Phronesis An Ethics Primer with Readings, (2018). 7-8. ↵
• Arendt, Hannah, “Thinking and Moral Considerations,” Social Research, 38:3 (1971: Autumn): 431. ↵
• Theodor W. Adorno, “Education After Auschwitz,” in Can One Live After Auschwitz, ed. by Rolf Tiedemann, trans. by Rodney Livingstone (Stanford: Stanford University Press, 2003): 23. ↵
• Allen W. Wood, “Hegel on Education,” in Philosophers on Education: New Historical Perspectives, ed. Amelie O. Rorty (London: Routledge 1998): 302. ↵

LOGOS: Critical Thinking, Arguments, and Fallacies Copyright © 2020 by Heather Wilburn, Ph.D is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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• What Is Critical Thinking? | Definition & Examples

What Is Critical Thinking? | Definition & Examples

Published on May 30, 2022 by Eoghan Ryan . Revised on May 31, 2023.

Critical thinking is the ability to effectively analyze information and form a judgment .

To think critically, you must be aware of your own biases and assumptions when encountering information, and apply consistent standards when evaluating sources .

Critical thinking skills help you to:

• Identify credible sources
• Evaluate and respond to arguments
• Assess alternative viewpoints
• Test hypotheses against relevant criteria

Table of contents

Why is critical thinking important, critical thinking examples, how to think critically, other interesting articles, frequently asked questions about critical thinking.

Critical thinking is important for making judgments about sources of information and forming your own arguments. It emphasizes a rational, objective, and self-aware approach that can help you to identify credible sources and strengthen your conclusions.

Critical thinking is important in all disciplines and throughout all stages of the research process . The types of evidence used in the sciences and in the humanities may differ, but critical thinking skills are relevant to both.

In academic writing , critical thinking can help you to determine whether a source:

• Is free from research bias
• Provides evidence to support its research findings
• Considers alternative viewpoints

Outside of academia, critical thinking goes hand in hand with information literacy to help you form opinions rationally and engage independently and critically with popular media.

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Critical thinking can help you to identify reliable sources of information that you can cite in your research paper . It can also guide your own research methods and inform your own arguments.

Outside of academia, critical thinking can help you to be aware of both your own and others’ biases and assumptions.

Academic examples

However, when you compare the findings of the study with other current research, you determine that the results seem improbable. You analyze the paper again, consulting the sources it cites.

You notice that the research was funded by the pharmaceutical company that created the treatment. Because of this, you view its results skeptically and determine that more independent research is necessary to confirm or refute them. Example: Poor critical thinking in an academic context You’re researching a paper on the impact wireless technology has had on developing countries that previously did not have large-scale communications infrastructure. You read an article that seems to confirm your hypothesis: the impact is mainly positive. Rather than evaluating the research methodology, you accept the findings uncritically.

Nonacademic examples

However, you decide to compare this review article with consumer reviews on a different site. You find that these reviews are not as positive. Some customers have had problems installing the alarm, and some have noted that it activates for no apparent reason.

You revisit the original review article. You notice that the words “sponsored content” appear in small print under the article title. Based on this, you conclude that the review is advertising and is therefore not an unbiased source. Example: Poor critical thinking in a nonacademic context You support a candidate in an upcoming election. You visit an online news site affiliated with their political party and read an article that criticizes their opponent. The article claims that the opponent is inexperienced in politics. You accept this without evidence, because it fits your preconceptions about the opponent.

There is no single way to think critically. How you engage with information will depend on the type of source you’re using and the information you need.

However, you can engage with sources in a systematic and critical way by asking certain questions when you encounter information. Like the CRAAP test , these questions focus on the currency , relevance , authority , accuracy , and purpose of a source of information.

When encountering information, ask:

• Who is the author? Are they an expert in their field?
• What do they say? Is their argument clear? Can you summarize it?
• When did they say this? Is the source current?
• Where is the information published? Is it an academic article? Is it peer-reviewed ?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence? Does it rely on opinion, speculation, or appeals to emotion ? Do they address alternative arguments?

Critical thinking also involves being aware of your own biases, not only those of others. When you make an argument or draw your own conclusions, you can ask similar questions about your own writing:

• Am I only considering evidence that supports my preconceptions?
• Is my argument expressed clearly and backed up with credible sources?
• Would I be convinced by this argument coming from someone else?

If you want to know more about ChatGPT, AI tools , citation , and plagiarism , make sure to check out some of our other articles with explanations and examples.

• ChatGPT vs human editor
• ChatGPT citations
• Is ChatGPT trustworthy?
• Using ChatGPT for your studies
• What is ChatGPT?
• Chicago style
• Paraphrasing

 Plagiarism

• Types of plagiarism
• Self-plagiarism
• Avoiding plagiarism
• Academic integrity
• Consequences of plagiarism
• Common knowledge

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

Critical thinking skills include the ability to:

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• How do they make their argument? Is it backed up by evidence?

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Information literacy refers to a broad range of skills, including the ability to find, evaluate, and use sources of information effectively.

Being information literate means that you:

• Know how to find credible sources
• Use relevant sources to inform your research
• Understand what constitutes plagiarism
• Know how to cite your sources correctly

Confirmation bias is the tendency to search, interpret, and recall information in a way that aligns with our pre-existing values, opinions, or beliefs. It refers to the ability to recollect information best when it amplifies what we already believe. Relatedly, we tend to forget information that contradicts our opinions.

Although selective recall is a component of confirmation bias, it should not be confused with recall bias.

On the other hand, recall bias refers to the differences in the ability between study participants to recall past events when self-reporting is used. This difference in accuracy or completeness of recollection is not related to beliefs or opinions. Rather, recall bias relates to other factors, such as the length of the recall period, age, and the characteristics of the disease under investigation.

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8 Arguments and Critical Thinking

J. anthony blair, introduction [1].

This chapter discusses two different conceptions of argument, and then discusses the role of arguments in critical thinking. It is followed by a chapter in which David Hitchcock carefully analyses one common concept of an argument.

1. Two meanings of ‘argument’

The word ‘argument’ is used in a great many ways. Any thorough understanding of arguments requires understanding ‘argument’ in each of its senses or uses. These may be divided into two large groupings: arguments had or engaged in , and arguments made or used . I begin with the former.

1.1 A n ‘a rgument’ as something two parties have with each othe r, something they get into, the kind of ‘argument’ one has in mind in de scribing two people as “arguing all the time ”

For many people outside academia or the practice of law, an argument is a quarrel . It is usually a verbal quarrel, but it doesn’t have to use words. If dishes are flying or people are glaring at each other in angry silence, it can still be an argument. What makes a quarrel an argument is that it involves a communication between two or more parties (however dysfunctional the communication may be) in which the parties disagree and in which that disagreement and reasons, actual or alleged, motivating it are expressed—usually in words or other communicative gestures.

Quarrels are emotional. The participants experience and express emotions, although that feature is not exclusive to arguments that are quarrels. People can and do argue emotionally, and (or) when inspired by strong emotions, when they are not quarrelling. Heated arguments are not necessarily quarrels; but quarrels tend to be heated.

What makes quarrels emotional in some cases is that at least one party experiences the disagreement as representing some sort of personal attack, and so experiences his or her ego or sense of self-worth as being threatened. Fear is a reaction to a perceived threat, and anger is a way of coping with fear and also with embarrassment and shame. In other cases, the argument about the ostensible disagreement is a reminder of or a pretext for airing another, deeper grievance. Jealousy and resentment fuel quarrels. Traces of ego-involvement often surface even in what are supposed to be more civilized argumentative exchanges, such as scholarly disputes. Quarrels tend not to be efficient ways of resolving the disagreements that gives rise to them because the subject of a disagreement changes as the emotional attacks escalate or because the quarrel was often not really about that ostensible disagreement in the first place.

In teaching that ‘argument’ has different senses, it is misleading to leave the impression (as many textbooks do) that quarrels are the only species of argument of this genus. In fact they are just one instance of a large class of arguments in this sense of extended, expressed, disagreements between or among two or more parties.

A dispute is an argument in this sense that need not be a quarrel. It is a disagreement between usually two parties about the legality, or morality, or the propriety on some other basis, of a particular act or policy. It can be engaged in a civil way by the disputants or their proxies (e.g., their spokespersons or their lawyers). Sometimes only the disputing parties settle their difference; sometimes a third party such as a mediator, arbitrator or judge is called in to impose a settlement.

A debate is another argument of this general kind. Debates are more or less formalized or regimented verbal exchanges between parties who might disagree, but in any case who take up opposing sides on an issue. Procedural rules that govern turn-taking, time available for each turn, and topics that may be addressed are agreed to when political opponents debate one another. Strict and precise rules of order govern who may speak, who must be addressed, sometimes time limits for interventions, in parliamentary or congressional debates in political decision-making bodies, or in formal intercollegiate competitive debates. Usually the “opponent” directly addressed in the debate is not the party that each speaker is trying to influence, so although the expressed goal is to “win” the debate, winning does not entail getting the opponent to concede. Instead, it calls for convincing an on-looking party or audience—the judge of the debate or the jury in a courtroom or the television audience or the press or the electorate as a whole—of the superior merits of one’s case for the opinion being argued for in the debate.

To be distinguished from a debate and a dispute by such factors as scale is a controversy . Think of such issues as the abortion controversy, the climate change controversy, the same-sex marriage controversy, the LGBT rights controversy, the animal rights controversy. The participants are many—often millions. The issues are complex and there are many disputes about details involved, including sometimes even formal debates between representatives of different sides. Typically there is a range of positions, and there might be several different sides each with positions that vary one from another. A controversy typically occurs over an extended period of time, often years and sometime decades long. But an entire controversy can be called an argument, as in, “the argument over climate change.” Controversies tend to be unregulated, unlike debates but like quarrels, although they need not be particularly angry even when they are emotional. Like quarrels, and unlike debates, the conditions under which controversies occur, including any constraints on them, are shaped by the participants.

Somewhere among quarrels, debates and controversies lie the theoretical arguments that theorists in academic disciplines engage in, in academic journals and scholarly monographs. In such arguments theorists take positions, sometimes siding with others and sometimes standing alone, and they argue back and forth about which theoretical position is the correct one. In a related type of argument, just two people argue back and forth about what is the correct position on some issue (including meta-level arguments about what is the correct way to frame the issue in the first place).

The stakes don’t have to be theories and the participants don’t have to be academics. Friends argue about which team will win the championship, where the best fishing spot is located, or what titles to select for the book club. Family members argue about how to spend their income, what school to send the children to, or whether a child is old enough to go on a date without a chaperone. Co-workers argue about the best way to do a job, whether to change service providers, whether to introduce a new product line, and so on. These arguments are usually amicable, whether or not they settle the question in dispute.

All of these kinds of “argument” in this sense of the term—quarrels, friendly disputes, arguments at work, professional arguments about theoretical positions, formal or informal debates, and various kinds of controversy—share several features.

• They involve communications between or among two or more people. Something initiates the communication, and either something ends it or there are ways for participants to join and to exit the conversation. They entail turn-taking (less or more regimented), each side addressing the other side and in turn construing and assessing what the other has to say in reply and formulating and communicating a response to the replies of the other side. And, obviously, they involve the expression, usually verbal, of theses and of reasons for them or against alternatives and criticisms.
• They have a telos or aim, although there seems to be no single end in mind for all of them or even for each of them. In a quarrel the goal might be to have one’s point of view prevail, to get one’s way, but it might instead (or in addition) be to humiliate the other person or to save one’s own self-respect. Some quarrels—think of the ongoing bickering between some long-married spouses—seem to be a way for two people to communicate, merely to acknowledge one another. In a debate, each side seeks to “win,” which can mean different things in different contexts ( cf. a collegiate debate vs. a debate between candidates in an election vs. a parliamentary debate). Some arguments seemed designed to convince the other to give up his position or accept the interlocutor’s position, or to get the other to act in some way or to adopt some policy. Some have the more modest goal of getting a new issue recognized for future deliberation and debate. Still others are clearly aimed not at changing anyone’s mind but at reinforcing or entrenching a point of view already held (as is usually the case with religious sermons or with political speeches to the party faithful). Some are intended to establish or to demonstrate the truth or reasonableness of some position or recommendation and (perhaps) also to get others to “see” that the truth has been established. Some seem designed to maintain disagreement, as when representatives of competing political parties argue with one another.
• All these various kinds of argument are more or less extended, both in the sense that they occur over time, sometimes long stretches of time, and also in the sense that they typically involved many steps: extensive and complex support for a point of view and critique of its alternatives.
• In nearly every case, the participants give reasons for the claims they make and they expect the other participants in the argument to give reasons for their claims. This is even a feature of quarrels, at least at the outset, although such arguments can deteriorate into name-calling and worse. (Notice that even the “yes you did; no I didn’t;…; did; didn’t” sequence of the Monty Python “Having an argument” skit breaks down and a reason is sought.)

The kinds of argument listed so far are all versions of having an argument (see Daniel J. O’Keefe, 1977, 1982). Some might think that this is not the sense of ‘argument’ that is pertinent to critical thinking instruction, but such arguments are the habitat of the kinds of argument that critical thinkers need to be able to identify, analyze and evaluate.

1.2 An argument a s something a person makes (or constructs, invents, borrows) consisting of purported reasons alleged to suggest, or support or prove a point and that is used for some purpose such as to persuade someone of some claim, to justify someone in maintaining the position claimed, or to test a claim .

When people have arguments—when they engage in one or another of the activities of arguing described above—one of the things they routinely do is present or allege or offer reasons in support of the claims that they advance, defend, challenge, dispute, question, or consider. That is, in having “arguments,” we typically make and use “arguments.” The latter obviously have to be arguments in different sense from the former. They are often called “reason-claim” complexes. If arguments that someone has had constitute a type of communication or communicative activity, arguments that someone has made or used are actual or potential contributions to such activities. Reason-claim complexes are typically made and used when engaged in an argument in the first sense, trying to convince someone of your point of view during a disagreement or dispute with them. Here is a list of some of the many definitions found in textbooks of ‘argument’ in this second sense.

“… here [the word ‘argument’] … is used in the … logical sense of giving reasons for or against some claim.” Understanding Arguments, Robert Fogelin and Walter Sinnott-Armstrong, 6th ed., p. 1. “Thus an argument is a discourse that contains at least two statements, one of which is asserted to be a reason for the other.” Monroe Beardsley, Practical Logic, p. 9. “An argument is a set of claims a person puts forward in an attempt to show that some further claim is rationally acceptable.” Trudy Govier. A Practical Study of Arguments, 5th ed., p. 3. An argument is “a set of clams some of which are presented as reasons for accepting some further claim.” Alec Fisher, Critical Thinking, An Introduction, p. 235. Argument: “A conclusion about an issue that is supported by reasons.” Sherry Diestler, Becoming a Critical Thinker, 4th ed., p. 403. “ Argument: An attempt to support a conclusion by giving reasons for it.” Robert Ennis, Critical Thinking, p. 396. “Argument – A form of thinking in which certain statements (reasons) are offered in support of another statement (conclusion).” John Chaffee, Thinking Critically, p. 415 “When we use the word argument in this book we mean a message which attempts to establish a statement as true or worthy of belief on the basis of other statements.” James B. Freeman, Thinking Logically, p. 20 “Argument. A sequence of propositions intended to establish the truth of one of the propositions.” Richard Feldman, Reason and Argument, p. 447. “Arguments consist of conclusions and reasons for them, called ‘premises’.” Wayne Grennan, Argument Evaluation, p. 5. Argument: “A set of claims, one of which, the conclusion is supported by [i.e., is supposed to provide a reason for] one or more of the other claims. Reason in the Balance, Sharon Bailin & Mark Battersby, p. 41.

These are not all compatible, and most of them define ‘argument’ using other terms—‘reasons’, ‘claims’, ‘propositions’, ‘statements’, ‘premises’ and ‘conclusions’—that are in no less need of definition than it is. In the next chapter, David Hitchcock offers a careful analysis of this concept of an argument.

Some define argument in this second sense as a kind of communication; others conceive it as a kind of set of propositions that can serve communicative functions, but others as well (such as inquiry). Either way, the communicative character, or function, of arguments has been the subject of much of the research in the past several decades. Most recently what some have called “multi-modal” argument has attracted attention, focusing on the various ways arguments can be communicated, especially visually or in a mix of verbal and visual modes of communication. Some have contended that smells and sounds can play roles in argument communication as well. This area of research interest would seem to have relevance for the analysis of arguments on the web.

1.3 Argumentation

‘Argumentation’ is another slippery term. It is used in several different senses.

Sometimes it is used to mean the communicative activity in which arguments are exchanged: “During their argumentation they took turns advancing their own arguments and criticizing one another’s arguments.” Sometimes ‘argumentation’ denotes the body of arguments used in an argumentative exchange: “The evening’s argumentation was of high quality.” And occasionally you will find it used to refer to the reasons or premises supporting a conclusion, as in: “The argumentation provided weak support for the thesis.” ‘Argumentation theory’ is the term often used to denote theory about the nature of arguments and their uses, including their uses in communications involving exchanges of arguments.

2 The relation between critical thinking and argument

2 .1 arguments are both tools of critical thinking and objects of critical thinking.

In … [one] sense, thought denotes belief resting upon some basis, that is, real or supposed knowledge going beyond what is directly present. … Some beliefs are accepted when their grounds have not themselves been considered …. … such thoughts may mean a supposition accepted without reference to its real grounds. These may be adequate, they may not; but their value with reference to the support they afford the belief has not been considered. Such thoughts grow up unconsciously and without reference to the attainment of correct belief. They are picked up—we know not how. From obscure sources and by unnoticed channels they insinuate themselves into acceptance and become unconsciously a part of our mental furniture. Tradition, instruction, imitation—all of which depend upon authority in some form, or appeal to our advantage, or fall in with strong passions—are responsible for them. Such thoughts are prejudices, that is, prejudgments, not judgments proper that rest upon a survey of evidence. (John Dewey, How We Think , pp. 4-5, emphasis added.)

People—all of us—routinely adopt beliefs and attitudes that are prejudices in Dewey’s sense of being prejudgments, “not judgments proper that rest upon a survey of evidence.” One goal of critical thinking education is to provide our students with the means to be able, when it really matters, to “properly survey” the grounds for beliefs and attitudes.

Arguments supply one such means. The grounds for beliefs and attitudes are often expressed, or expressible, as arguments for them. And the “proper survey” of these arguments is to test them by subjecting them to the critical scrutiny of counter-arguments.

Arguments also come into play when the issue is not what to believe about a contentious issue, but in order just to understand the competing positions. Not only are we not entitled to reject a claim to our belief if we cannot counter the arguments that support it; we are not in possession of an understanding of that claim if we cannot formulate the arguments that support it to the satisfaction of its proponents.

Furthermore, arguments can be used to investigate a candidate for belief by those trying “to make up their own minds” about it. The investigator tries to find and express the most compelling arguments for and against the candidate. Which arguments count as “most compelling” are the ones that survive vigorous attempts, using arguments, to refute or undermine them. These survivors are then compared against one another, the pros weighed against the cons. More arguments come into play in assessing the attributed weights.

In these ways, a facility with arguments serves a critical thinker well. Such a facility includes skill in recognizing, interpreting and evaluating arguments, as well as in formulating them. That includes skill in laying out complex arguments, in recognizing argument strengths and weaknesses, and in making a case for one’s critique. It includes the ability to distinguish the more relevant evidence from the less, and to discriminate between minor, fixable flaws and major, serious problems, in arguments. Thus the critical thinker is at once adept at using arguments in various ways and at the same time sensitive in judging arguments’ merits, applying the appropriate criteria.

Moreover, arguments in the sense of “reasons-claim” complexes surround us in our daily lives. Our “familiars”, as Gilbert (2014) has dubbed them—our family members, the friends we see regularly, shopkeepers and others whose services we patronize daily, our co-workers—engage us constantly in argumentative discussions in which they invoke arguments to try to get us to do things, to agree, to judge, to believe. The public sphere—the worlds of politics, commerce, entertainment, leisure activities, social media (see Jackson’s chapter)—is another domain in which arguments can be found, although (arguably) mere assertion predominates there. In the various roles we play as we go through life—child, parent, spouse or partner, student, worker, patient, subordinate or supervisor, citizen (voter, jurist, community member), observer or participant, etc.—we are invited with arguments to agree or disagree, approve or disapprove, seek or avoid. We see others arguing with one another and are invited to judge the merits of the cases they make. Some of these arguments are cogent and their conclusions merit our assent, but others are not and we should not be influenced by them. Yet others are suggestive and deserve further thought.

We can simply ignore many of these arguments, but others confront us and force us to decide whether or not to accept them. Often it is unclear whether someone has argued or done something else: just vented, perhaps, or explained rather than argued, or merely expressed an opinion without arguing for it, or was confused. So we initially might have to decide whether there is an argument that we need to deal with. When it is an argument, often in order to make up our minds about it we need first to get clear about exactly what the argument consists of. So even before we evaluate this argument we have to identify and analyze it. (These operations are discussed in Chapter 12.)

In the end we have to decide for ourselves whether the argument makes its case or falls short. Does the conclusion really follow from the premises? Is there enough evidence to justify the conclusion? Is it the right kind of evidence? Are there well-known objections or arguments against the conclusion that haven’t been acknowledged and need to be answered satisfactorily? Can they be answered? And are the premises themselves believable or otherwise acceptable? Are there other arguments, as good or better, that support the claim?

Critical thinking can (and should!) come into all of these decisions we need to make in the identification, the analysis and the assessment of arguments.

2 .2  Critical thinking about things other than arguments

Many critical thinking textbooks focus exclusively on the analysis and evaluation of arguments. While the centrality of arguments to the art of critical thinking is unquestionable, a strong case can be made that critical thinking has other objectives in addition to appreciating arguments. In their analysis of the concept of critical thinking, Fisher and Scriven suggest the following definition:

Critical thinking is skilled and active interpretation and evaluation of o b servations and communications , information and argumentation. (1997, p. 21, emphasis added)

We agree with the gist of this claim, but notice what Fisher and Scriven propose as the objects to which critical thinking applies. Not just argumentation, but as well observations, communications and information. About observations, they note that:

What one sees (hears, etc.) are usually things and happenings, and one often has to interpret what one sees, sometimes calling on critical thinking skills to do so, most obviously in cases where the context involves weak lighting, strong emotions, possible drug effects, or putatively magical or parapsychological phenomena. Only after the application of critical thinking—and sometimes not even then—does one know what one “really saw”. … When the filter of critical thinking has been applied to the observations, and only then, one can start reasoning towards further conclusions using these observations as premises. ( Ibid ., p, 37)

An example is the recent large number of convictions in the U.S.A. that originally relied on eyewitness testimony but that have been overturned on the basis of DNA evidence. [2] ,  [3]

The DNA evidence proved that the accused was not the culprit, so the moral certainty of the eyewitness had to have been mistaken. The observation of the eyewitness was flawed. He or she did not think critically about whether the conditions need ed to make a reliable o b servation were present (e.g., were strong emotions like fear involved? was the lighting good? has he or she ordinarily a good memory for faces? was there time to observe carefully? were there distractions present?). Neither, probably, did the lawyers on either side, or else they immorally suppressed what should have been their doubts. As a consequence, innocent people languished in jail for years and guilty parties went free.

Communications are another object for critical thought. When in reply to Harry’s question, “How are you doing?” Morgan says, in a clipped and dull voice and a strained expression on her face, “I’m fine”, Harry needs to be aware that “How are you doing?” often functions as equivalent to a simple greeting, like “Hi” and so the response “Fine” could similarly be functioning as a polite return of the greeting, like “Hi back to you”, and not as an accurate report of the speaker’s condition. Harry needs to notice and interpret other aspects of Morgan’s communication—her lethargic tone of voice and her anxious facial expression—and to recognize the incompatibility between those signals and the interpretation of her response as an accurate depiction of Morgan’s state of well-being. He needs to employ critical interpretive skills to realize that Morgan has communicated that she is not fine at all, but for some reason isn’t offering to talk about it.

If President Trump did in fact say to his then F.B.I. director James Comey, about the F.B.I. investigation of former National Security Advisor Michaell Flynn “I hope you can let this go”, was it legitimate for Comey to interpret the President’s comment as a directive? And was Comey’s response, which was simply to ignore President Trump’s alleged comment, an appropriate response? What was going on? It takes critical thinking to try to sort out these issues. Taking the President’s alleged comment literally, it just expresses his attitude towards the FBI investigation of Flynn. But communications from the President in a tête-à-tête in the White House with the Director of the FBI are not occasions for just sharing attitudes. This was not an occasion on which they could step out of their political roles and chat person-to-person. The President can legitimately be presumed to be communicating his wishes as to what his FBI Director should do, and such expressions of wishes are, in this context, to be normally understood as directives. On the other hand, for the President to direct that an ongoing investigation by the FBI be stopped, or that it come up with a pre-determined finding, is illegal: it’s obstruction of justice. So Comey seemed faced with at least two possible interpretations of what he took the President to be saying: either an out-of-place expression of his attitude towards the outcome of the Flynn investigation or an illegal directive. Which was the President’s intention? However, there are other possibilities.

Was President Trump a political tyro whose lack of political experience might have left him ignorant of the fact that the FBI Director has to keep investigations free of political interference? Or might Trump have thought that the Presidency conveys the authority to influence the outcome of criminal investigations? Or might President Trump have been testing Mr. Comey to see if he could be manipulated? And Mr. Comey could have responded differently. He could have said, “I wish we could let this go too, Mr. President, but there are questions about General Flynn’s conduct that have to be investigated, and as you know, we cannot interfere with an ongoing FBI investigation”. Such a response would have forced the President to take back what he allegedly said, withdrawing any suggestion that his comment was a directive, or else to make it plain that he was indeed directing Comey to obstruct justice. In the event, apparently Mr. Comey did not take this way out, which would at once have displayed loyalty to the President (by protecting him from explicitly obstructing justice) and also have affirmed the independence of the FBI from interference from the White House. Perhaps he thought that the President clearly had directed him to obstruct justice, and judged that giving him an opportunity explicitly to withdraw that directive amounted to overlooking that illegal act, which would be a violation of his responsibilities as Director of the FBI. If so, however, simply not responding to the President’s comment, the path Comey apparently chose, also amounted to turning a blind eye to what he judged to be President Trump’s illegal directive.

As these two examples illustrate, the interpretation of communications, and the appropriate response to them can require critical thinking: recognizing different functions of communication, and being sensitive to the implications of different contexts of communication; being sensitive to the roles communicators occupy and to the rights, obligations, and limits attached to such roles.

As Fisher and Scriven acknowledge, “defining information is itself a difficult task.” They make a useful start by distinguishing information from raw data (“the numbers or bare descriptions obtained from measurements or observations”, op . cit., p. 41). No critical thinking is required for the latter; just the pains necessary to record raw data accurately, In many cases, though, the interpretation of raw data, the meaning or significance that they are said to have, can require critical thinking.

One might go beyond Fisher and Scriven’s list of other things besides arguments to which critical thinking can be applied. A thoughtful appreciation of novels or movies, plays or poetry, paintings or sculptures requires skilled interpretation, imagining alternatives, thoughtful selection of appropriate criteria of evaluation and then the selection and application of appropriate standards, and more. A good interior designer must consider the effects and interactions of space and light and color and fabrics and furniture design, and coordinate these with clients’ lifestyles, habits and preferences. Advanced practical skills in various sciences come into play. A coach of a sports team must think about each individual team member’s skills and deficiencies, personality and life situation; about plays and strategies, opponents’ skills sets; approaches to games; and much more. Conventional approaches need to be reviewed as to their applicability to the current situation. Alternative possibilities need to be creatively imagined and critically assessed. And all of this is time-sensitive, sometimes calling for split-second decisions. The thinking involved in carrying out the tasks of composing a review of some work of literature or art or of coaching a sports team can be routine and conventional, or it can be imaginative, invoking different perspectives and challenging standard criteria.

The list could go on. The present point is that, while argument is central to critical thinking, critical thinking about and using arguments is not all there is to critical thinking. [4]

Bailin, Sharon & Battersby, Mark. (2010). Reason in the Balance , An I n quiry Approach to Critical Thinking , 1 st ed. Toronto: McGraw-Hill Ryerson.

Beardsley, Monroe C. (1950). Practical L ogic . Englewood Cliffs, NJ: Prentice-Hall.

Chaffee, John. 1985. Thinking Critically . Boston: Houghton Mifflin.

Dewey, John. (1910, 1991). How We Think . Lexington, MAD.C. Heath; Buffalo, NY: Prometheus Books.

Diestler, Sherry. (2005). Becoming a Critical Thinker , 4 th ed. Upper Saddle River, NJ: Pearson Education.

Ennis, Robert H. (1996). Critical Thinking . Upper Saddle River, NJ: Prentice-Hall.

Feldman, Richard. (1993). Reason and Argument , 2 nd ed. Upper Saddle River, NJ: Prentice-Hall.

Fisher, Alex.(2001). Critical Thinking, An Introduction . Cambridge: Cambridge University Press.

Fisher, Alec & Scriven, Michael. (1997). Critical Thinking, Its Definition and Assessment . Point

Reyes, CA: EdgePress; Norwich, UK: Center for Research in Critical Thinking.

Fogelin, Robert & Sinnott-Armstrong, Walter. (2001). Understanding A r guments , An Introduction to Informal Logic , 6 th ed. Belmont, CA: Wadsworth.

Freeman, James B. (1988.) Thinking Logically , Basic Concepts of Reaso n ing . Englewood Cliffs, NJ: Prentice-Hall.

Grennan, Wayne . (1984). Argument Evaluation . Lanham, MD: University Press of America.

Govier, Trudy. (2001). A Practical Study of Argument , 5 th ed. Belmont, CA: Wadsworth.

O’Keefe, Daniel J. (1977). Two concepts of argument. Journal of the Amer i can Forensic Association , 13 , 121-128.

O‘Keefe, Daniel J. (1982). The concepts of argument and arguing. In J. R. Cox & C. A. Willard (Eds.), Advances in Argumentation Theory and R e search , pp. 3-23. Carbondale, IL: Southern Illinois University Press.

• © J. Anthony Blair ↵
• According to the Innocence Project, “Eyewitness misidentification is the greatest contributing factor to wrongful convictions proven by DNA testing, playing a role in more than 70% of convictions [in the U.S.A.] overturned through DNA testing nationwide.” (https://www.innocenceproject.org/causes/eyewitness-misidentification/, viewed August 2017). ↵
• I owe the general organization and many of the specific ideas of this chapter to a series of lectures by Jean Goodwin at the Summer Institute on Argumentation sponsored by the Centre for Research in Reasoning, Argumentation and Rhetoric at the University of Windsor. ↵

Studies in Critical Thinking Copyright © by J. Anthony Blair is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Pursuing Truth: A Guide to Critical Thinking

Chapter 2 arguments.

The fundamental tool of the critical thinker is the argument. For a good example of what we are not talking about, consider a bit from a famous sketch by Monty Python’s Flying Circus : 3

2.1 Identifying Arguments

People often use “argument” to refer to a dispute or quarrel between people. In critical thinking, an argument is defined as

A set of statements, one of which is the conclusion and the others are the premises.

There are three important things to remember here:

• Arguments contain statements.
• They have a conclusion.
• They have at least one premise

Arguments contain statements, or declarative sentences. Statements, unlike questions or commands, have a truth value. Statements assert that the world is a particular way; questions do not. For example, if someone asked you what you did after dinner yesterday evening, you wouldn’t accuse them of lying. When the world is the way that the statement says that it is, we say that the statement is true. If the statement is not true, it is false.

One of the statements in the argument is called the conclusion. The conclusion is the statement that is intended to be proved. Consider the following argument:

Calculus II will be no harder than Calculus I. Susan did well in Calculus I. So, Susan should do well in Calculus II.

Here the conclusion is that Susan should do well in Calculus II. The other two sentences are premises. Premises are the reasons offered for believing that the conclusion is true.

2.1.1 Standard Form

Now, to make the argument easier to evaluate, we will put it into what is called “standard form.” To put an argument in standard form, write each premise on a separate, numbered line. Draw a line underneath the last premise, the write the conclusion underneath the line.

• Calculus II will be no harder than Calculus I.
• Susan did well in Calculus I.
• Susan should do well in Calculus II.

Now that we have the argument in standard form, we can talk about premise 1, premise 2, and all clearly be referring to the same thing.

2.1.2 Indicator Words

Unfortunately, when people present arguments, they rarely put them in standard form. So, we have to decide which statement is intended to be the conclusion, and which are the premises. Don’t make the mistake of assuming that the conclusion comes at the end. The conclusion is often at the beginning of the passage, but could even be in the middle. A better way to identify premises and conclusions is to look for indicator words. Indicator words are words that signal that statement following the indicator is a premise or conclusion. The example above used a common indicator word for a conclusion, ‘so.’ The other common conclusion indicator, as you can probably guess, is ‘therefore.’ This table lists the indicator words you might encounter.

Each argument will likely use only one indicator word or phrase. When the conlusion is at the end, it will generally be preceded by a conclusion indicator. Everything else, then, is a premise. When the conclusion comes at the beginning, the next sentence will usually be introduced by a premise indicator. All of the following sentences will also be premises.

For example, here’s our previous argument rewritten to use a premise indicator:

Susan should do well in Calculus II, because Calculus II will be no harder than Calculus I, and Susan did well in Calculus I.

Sometimes, an argument will contain no indicator words at all. In that case, the best thing to do is to determine which of the premises would logically follow from the others. If there is one, then it is the conclusion. Here is an example:

Spot is a mammal. All dogs are mammals, and Spot is a dog.

The first sentence logically follows from the others, so it is the conclusion. When using this method, we are forced to assume that the person giving the argument is rational and logical, which might not be true.

2.1.3 Non-Arguments

One thing that complicates our task of identifying arguments is that there are many passages that, although they look like arguments, are not arguments. The most common types are:

• Explanations
• Mere asssertions
• Conditional statements
• Loosely connected statements

Explanations can be tricky, because they often use one of our indicator words. Consider this passage:

Abraham Lincoln died because he was shot.

If this were an argument, then the conclusion would be that Abraham Lincoln died, since the other statement is introduced by a premise indicator. If this is an argument, though, it’s a strange one. Do you really think that someone would be trying to prove that Abraham Lincoln died? Surely everyone knows that he is dead. On the other hand, there might be people who don’t know how he died. This passage does not attempt to prove that something is true, but instead attempts to explain why it is true. To determine if a passage is an explanation or an argument, first find the statement that looks like the conclusion. Next, ask yourself if everyone likely already believes that statement to be true. If the answer to that question is yes, then the passage is an explanation.

Mere assertions are obviously not arguments. If a professor tells you simply that you will not get an A in her course this semester, she has not given you an argument. This is because she hasn’t given you any reasons to believe that the statement is true. If there are no premises, then there is no argument.

Conditional statements are sentences that have the form “If…, then….” A conditional statement asserts that if something is true, then something else would be true also. For example, imagine you are told, “If you have the winning lottery ticket, then you will win ten million dollars.” What is being claimed to be true, that you have the winning lottery ticket, or that you will win ten million dollars? Neither. The only thing claimed is the entire conditional. Conditionals can be premises, and they can be conclusions. They can be parts of arguments, but that cannot, on their own, be arguments themselves.

Finally, consider this passage:

I woke up this morning, then took a shower and got dressed. After breakfast, I worked on chapter 2 of the critical thinking text. I then took a break and drank some more coffee….

This might be a description of my day, but it’s not an argument. There’s nothing in the passage that plays the role of a premise or a conclusion. The passage doesn’t attempt to prove anything. Remember that arguments need a conclusion, there must be something that is the statement to be proved. Lacking that, it simply isn’t an argument, no matter how much it looks like one.

2.2 Evaluating Arguments

The first step in evaluating an argument is to determine what kind of argument it is. We initially categorize arguments as either deductive or inductive, defined roughly in terms of their goals. In deductive arguments, the truth of the premises is intended to absolutely establish the truth of the conclusion. For inductive arguments, the truth of the premises is only intended to establish the probable truth of the conclusion. We’ll focus on deductive arguments first, then examine inductive arguments in later chapters.

Once we have established that an argument is deductive, we then ask if it is valid. To say that an argument is valid is to claim that there is a very special logical relationship between the premises and the conclusion, such that if the premises are true, then the conclusion must also be true. Another way to state this is

An argument is valid if and only if it is impossible for the premises to be true and the conclusion false.

An argument is invalid if and only if it is not valid.

Note that claiming that an argument is valid is not the same as claiming that it has a true conclusion, nor is it to claim that the argument has true premises. Claiming that an argument is valid is claiming nothing more that the premises, if they were true , would be enough to make the conclusion true. For example, is the following argument valid or not?

• If pigs fly, then an increase in the minimum wage will be approved next term.
• An increase in the minimum wage will be approved next term.

The argument is indeed valid. If the two premises were true, then the conclusion would have to be true also. What about this argument?

• All dogs are mammals
• Spot is a mammal.
• Spot is a dog.

In this case, both of the premises are true and the conclusion is true. The question to ask, though, is whether the premises absolutely guarantee that the conclusion is true. The answer here is no. The two premises could be true and the conclusion false if Spot were a cat, whale, etc.

Neither of these arguments are good. The second fails because it is invalid. The two premises don’t prove that the conclusion is true. The first argument is valid, however. So, the premises would prove that the conclusion is true, if those premises were themselves true. Unfortunately, (or fortunately, I guess, considering what would be dropping from the sky) pigs don’t fly.

These examples give us two important ways that deductive arguments can fail. The can fail because they are invalid, or because they have at least one false premise. Of course, these are not mutually exclusive, an argument can be both invalid and have a false premise.

If the argument is valid, and has all true premises, then it is a sound argument. Sound arguments always have true conclusions.

A deductively valid argument with all true premises.

Inductive arguments are never valid, since the premises only establish the probable truth of the conclusion. So, we evaluate inductive arguments according to their strength. A strong inductive argument is one in which the truth of the premises really do make the conclusion probably true. An argument is weak if the truth of the premises fail to establish the probable truth of the conclusion.

There is a significant difference between valid/invalid and strong/weak. If an argument is not valid, then it is invalid. The two categories are mutually exclusive and exhaustive. There can be no such thing as an argument being more valid than another valid argument. Validity is all or nothing. Inductive strength, however, is on a continuum. A strong inductive argument can be made stronger with the addition of another premise. More evidence can raise the probability of the conclusion. A valid argument cannot be made more valid with an additional premise. Why not? If the argument is valid, then the premises were enough to absolutely guarantee the truth of the conclusion. Adding another premise won’t give any more guarantee of truth than was already there. If it could, then the guarantee wasn’t absolute before, and the original argument wasn’t valid in the first place.

2.3 Counterexamples

One way to prove an argument to be invalid is to use a counterexample. A counterexample is a consistent story in which the premises are true and the conclusion false. Consider the argument above:

By pointing out that Spot could have been a cat, I have told a story in which the premises are true, but the conclusion is false.

Here’s another one:

• If it is raining, then the sidewalks are wet.
• The sidewalks are wet.
• It is raining.

The sprinklers might have been on. If so, then the sidewalks would be wet, even if it weren’t raining.

Counterexamples can be very useful for demonstrating invalidity. Keep in mind, though, that validity can never be proved with the counterexample method. If the argument is valid, then it will be impossible to give a counterexample to it. If you can’t come up with a counterexample, however, that does not prove the argument to be valid. It may only mean that you’re not creative enough.

• An argument is a set of statements; one is the conclusion, the rest are premises.
• The conclusion is the statement that the argument is trying to prove.
• The premises are the reasons offered for believing the conclusion to be true.
• Explanations, conditional sentences, and mere assertions are not arguments.
• Deductive reasoning attempts to absolutely guarantee the truth of the conclusion.
• Inductive reasoning attempts to show that the conclusion is probably true.
• In a valid argument, it is impossible for the premises to be true and the conclusion false.
• In an invalid argument, it is possible for the premises to be true and the conclusion false.
• A sound argument is valid and has all true premises.
• An inductively strong argument is one in which the truth of the premises makes the the truth of the conclusion probable.
• An inductively weak argument is one in which the truth of the premises do not make the conclusion probably true.
• A counterexample is a consistent story in which the premises of an argument are true and the conclusion is false. Counterexamples can be used to prove that arguments are deductively invalid.

( Cleese and Chapman 1980 ) . ↩︎

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Argument and Argumentation

Argument is a central concept for philosophy. Philosophers rely heavily on arguments to justify claims, and these practices have been motivating reflections on what arguments and argumentation are for millennia. Moreover, argumentative practices are also pervasive elsewhere; they permeate scientific inquiry, legal procedures, education, and political institutions. The study of argumentation is an inter-disciplinary field of inquiry, involving philosophers, language theorists, legal scholars, cognitive scientists, computer scientists, and political scientists, among many others. This entry provides an overview of the literature on argumentation drawing primarily on philosophical sources, but also engaging extensively with relevant sources from other disciplines.

1. Terminological Clarifications

2.1 deduction, 2.2 induction, 2.3 abduction, 2.4 analogy, 2.5 fallacies, 3.1 adversarial and cooperative argumentation, 3.2 argumentation as an epistemic practice, 3.3 consensus-oriented argumentation, 3.4 argumentation and conflict management, 3.5 conclusion, 4.1 argumentation theory, 4.2 artificial intelligence and computer science, 4.3 cognitive science and psychology, 4.4 language and communication, 4.5 argumentation in specific social practices, 5.1 argumentative injustice and virtuous argumentation, 5.2 emotions and argumentation, 5.3 cross-cultural perspectives on argumentation, 5.4 argumentation and the internet, 6. conclusion, references for the main text, references for the historical supplement, other internet resources, related entries.

An argument can be defined as a complex symbolic structure where some parts, known as the premises, offer support to another part, the conclusion. Alternatively, an argument can be viewed as a complex speech act consisting of one or more acts of premising (which assert propositions in favor of the conclusion), an act of concluding, and a stated or implicit marker (“hence”, “therefore”) that indicates that the conclusion follows from the premises (Hitchcock 2007). [ 1 ] The relation of support between premises and conclusion can be cashed out in different ways: the premises may guarantee the truth of the conclusion, or make its truth more probable; the premises may imply the conclusion; the premises may make the conclusion more acceptable (or assertible).

For theoretical purposes, arguments may be considered as freestanding entities, abstracted from their contexts of use in actual human activities. But depending on one’s explanatory goals, there is also much to be gained from considering arguments as they in fact occur in human communicative practices. The term generally used for instances of exchange of arguments is argumentation . In what follows, the convention of using “argument” to refer to structures of premises and conclusion, and “argumentation” to refer to human practices and activities where arguments occur as communicative actions will be adopted.

Argumentation can be defined as the communicative activity of producing and exchanging reasons in order to support claims or defend/challenge positions, especially in situations of doubt or disagreement (Lewiński & Mohammed 2016). It is arguably best conceived as a kind of dialogue , even if one can also “argue” with oneself, in long speeches or in writing (in articles or books) for an intended but silent audience, or in groups rather than in dyads (Lewiński & Aakhus 2014). But argumentation is a special kind of dialogue: indeed, most of the dialogues we engage in are not instances of argumentation, for example when asking someone if they know what time it is, or when someone shares details about their vacation. Argumentation only occurs when, upon making a claim, someone receives a request for further support for the claim in the form of reasons, or estimates herself that further justification is required (Jackson & Jacobs 1980; Jackson, 2019). In such cases, dialogues of “giving and asking for reasons” ensue (Brandom, 1994; Bermejo Luque 2011). Since most of what we know we learn from others, argumentation seems to be an important mechanism to filter the information we receive, instead of accepting what others tell us uncritically (Sperber, Clément, et al. 2010).

The study of arguments and argumentation is also closely connected to the study of reasoning , understood as the process of reaching conclusions on the basis of careful, reflective consideration of the available information, i.e., by an examination of reasons . According to a widespread view, reasoning and argumentation are related (as both concern reasons) but fundamentally different phenomena: reasoning would belong to the mental realm of thinking—an individual inferring new information from the available information by means of careful consideration of reasons—whereas argumentation would belong to the public realm of the exchange of reasons, expressed in language or other symbolic media and intended for an audience. However, a number of authors have argued for a different view, namely that reasoning and argumentation are in fact two sides of the same coin, and that what is known as reasoning is by and large the internalization of practices of argumentation (MacKenzie 1989; Mercier & Sperber 2017; Mercier 2018). For the purposes of this entry, we can assume a close connection between reasoning and argumentation so that relevant research on reasoning can be suitably included in the discussions to come.

2. Types of Arguments

Arguments come in many kinds. In some of them, the truth of the premises is supposed to guarantee the truth of the conclusion, and these are known as deductive arguments. In others, the truth of the premises should make the truth of the conclusion more likely while not ensuring complete certainty; two well-known classes of such arguments are inductive and abductive arguments (a distinction introduced by Peirce, see entry on C.S. Peirce ). Unlike deduction, induction and abduction are thought to be ampliative: the conclusion goes beyond what is (logically) contained in the premises. Moreover, a type of argument that features prominently across different philosophical traditions, and yet does not fit neatly into any of the categories so far discussed, are analogical arguments. In this section, these four kinds of arguments are presented. The section closes with a discussion of fallacious arguments, that is, arguments that seem legitimate and “good”, but in fact are not. [ 2 ]

Valid deductive arguments are those where the truth of the premises necessitates the truth of the conclusion: the conclusion cannot but be true if the premises are true. Arguments having this property are said to be deductively valid . A valid argument whose premises are also true is said to be sound . Examples of valid deductive arguments are the familiar syllogisms, such as:

All humans are living beings. All living beings are mortal. Therefore, all humans are mortal.

In a deductively valid argument, the conclusion will be true in all situations where the premises are true, with no exceptions. A slightly more technical gloss of this idea goes as follows: in all possible worlds where the premises hold, the conclusion will also hold. This means that, if I know the premises of a deductively valid argument to be true of a given situation, then I can conclude with absolute certainty that the conclusion is also true of that situation. An important property typically associated with deductive arguments (but with exceptions, such as in relevant logic), and which differentiates them from inductive and abductive arguments, is the property of monotonicity : if premises A and B deductively imply conclusion C , then the addition of any arbitrary premise D will not invalidate the argument. In other words, if the argument “ A and B ; therefore C ” is deductively valid, then the argument “ A , B and D ; therefore C ” is equally deductively valid.

Deductive arguments are the objects of study of familiar logical systems such as (classical) propositional and predicate logic, as well as of subclassical systems such as intuitionistic and relevant logics (although in relevant logic the property of monotonicity does not hold, as it may lead to violations of criteria of relevance between premises and conclusion—see entry on relevance logic ). In each of these systems, the relation of logical consequence in question satisfies the property of necessary truth-preservation (see entry on logical consequence ). This is not surprising, as these systems were originally designed to capture arguments of a very specific kind, namely mathematical arguments (proofs), in the pioneering work of Frege, Russell, Hilbert, Gentzen, and others. Following a paradigm established in ancient Greek mathematics and famously captured in Euclid’s Elements , argumentative steps in mathematical proofs (in this tradition at least) must have the property of necessary truth preservation (Netz 1999). This paradigm remained influential for millennia, and still codifies what can be described as the “classical” conception of mathematical proof (Dutilh Novaes 2020a), even if practices of proof are ultimately also quite diverse. (In fact, there is much more to argumentation in mathematics than just deductive argumentation [Aberdein & Dove 2013].)

However, a number of philosophers have argued that deductive validity and necessary truth preservation in fact come apart. Some have reached this conclusion motivated by the familiar logical paradoxes such as the Liar or Curry’s paradox (Beall 2009; Field 2008; see entries on the Liar paradox and on Curry’s paradox ). Others have defended the idea that there are such things as contingent logical truths (Kaplan 1989; Nelson & Zalta 2012), which thus challenge the idea of necessary truth preservation. It has also been suggested that what is preserved in the transition from premises to conclusions in deductive arguments is in fact warrant or assertibility rather than truth (Restall 2004). Yet others, such as proponents of preservationist approaches to paraconsistent logic, posit that what is preserved by the deductive consequence relation is the coherence, or incoherence, of a set of premises (Schotch, Brown, & Jennings 2009; see entry on paraconsistent logic ). Nevertheless, it is fair to say that the view that deductive validity is to be understood primarily in terms of necessary truth preservation is still the received view.

Relatedly, there are a number of pressing philosophical issues pertaining to the justification of deduction, such as the exact nature of the necessity involved in deduction (metaphysical, logical, linguistic, epistemic; Shapiro 2005), and the possibility of offering a non-circular foundation for deduction (Dummett 1978). Furthermore, it is often remarked that the fact that a deductive argument is not ampliative may entail that it cannot be informative, which in turn would mean that its usefulness is quite limited; this problem has been described as “the scandal of deduction” (Sequoiah-Grayson 2008).

Be that as it may, deductive arguments have occupied a special place in philosophy and the sciences, ever since Aristotle presented the first fully-fledged theory of deductive argumentation and reasoning in the Prior Analytics (and the corresponding theory of scientific demonstration in the Posterior Analytics ; see Historical Supplement ). The fascination for deductive arguments is understandable, given their allure of certainty and indubitability. The more geometrico (a phrase introduced by Spinoza to describe the argumentative structure of his Ethics as following “a geometrical style”—see entry on Spinoza ) has been influential in many fields other than mathematics. However, the focus on deductive arguments at the expense of other types of arguments has arguably skewed investigations on argument and argumentation too much in one specific direction (see (Bermejo-Luque 2020) for a critique of deductivism in the study of argumentation).

In recent decades, the view that everyday reasoning and argumentation by and large do not follow the canons of deductive argumentation has been gaining traction. In psychology of reasoning, Oaksford and Chater were the first to argue already in the 1980s that human reasoning “in the wild” is essentially probabilistic, following the basic canons of Bayesian probabilities (Oaksford & Chater 2018; Elqayam 2018; see section 5.3 below). Computer scientists and artificial intelligence researchers have also developed a strong interest in non-monotonic reasoning and argumentation (Reiter 1980), recognizing that, outside specific scientific contexts, human reasoning tends to be deeply defeasible (Pollock 1987; see entries on non-monotonic logic and defeasible reasoning ). Thus seen, deductive argumentation might be considered as the exception rather than the rule in human argumentative practices taken as a whole (Dutilh Novaes 2020a). But there are others, especially philosophers, who still maintain that the use of deductive reasoning and argumentation is widespread and extends beyond niches of specialists (Shapiro 2014; Williamson 2018).

Inductive arguments are arguments where observations about past instances and regularities lead to conclusions about future instances and general principles. For example, the observation that the sun has risen in the east every single day until now leads to the conclusion that it will rise in the east tomorrow, and to the general principle “the sun always rises in the east”. Generally speaking, inductive arguments are based on statistical frequencies, which then lead to generalizations beyond the sample of cases initially under consideration: from the observed to the unobserved. In a good, i.e., cogent , inductive argument, the truth of the premises provides some degree of support for the truth of the conclusion. In contrast with a deductively valid argument, in an inductive argument the degree of support will never be maximal, as there is always the possibility of the conclusion being false given the truth of the premises. A gloss in terms of possible worlds might be that, while in a deductively valid argument the conclusion will hold in all possible worlds where the premises hold, in a good inductive argument the conclusion will hold in a significant proportion of the possible worlds where the premises hold. The proportion of such worlds may give a measure of the strength of support of the premises for the conclusion (see entry on inductive logic ).

Inductive arguments have been recognized and used in science and elsewhere for millennia. The concept of induction ( epagoge in Greek) was understood by Aristotle as a progression from particulars to a universal, and figured prominently both in his conception of the scientific method and in dialectical practices (see entry on Aristotle’s logic, section 3.1 ). However, a deductivist conception of the scientific method remained overall more influential in Aristotelian traditions, inspired by the theory of scientific demonstration of the Posterior Analytics . It is only with the so-called “scientific revolution” of the early modern period that experiments and observation of individual cases became one of the pillars of scientific methodology, a transition that is strongly associated with the figure of Francis Bacon (1561–1626; see entry on Francis Bacon ).

Inductive inferences/arguments are ubiquitous both in science and in everyday life, and for the most part quite reliable. The functioning of the world around us seems to display a fair amount of statistical regularity, and this is referred to as the “Uniformity Principle” in the literature on the problem of induction (to be discussed shortly). Moreover, it has been argued that generalizing from previously observed frequencies is the most basic principle of human cognition (Clark 2016).

However, it has long been recognized that inductive inferences/arguments are not unproblematic. Hume famously offered the first influential formulation of what became known as “the problem of induction” in his Treatise of Human Nature (see entries on David Hume and on the problem of induction ; Howson 2000). Hume raises the question of what grounds the correctness of inductive inferences/arguments, and posits that there must be an argument establishing the validity of the Uniformity Principle for inductive inferences to be truly justified. He goes on to argue that this argument cannot be deductive, as it is not inconceivable that the course of nature may change. But it cannot be probable either, as probable arguments already presuppose the validity of the Uniformity Principle; circularity would ensue. Since these are the only two options, he concludes that the Uniformity Principle cannot be established by rational argument, and hence that induction cannot be justified.

A more recent influential critique of inductive arguments is the one offered in (Harman 1965). Harman argues that either enumerative induction is not always warranted, or it is always warranted but constitutes an uninteresting special case of the more general category of inference to the best explanation (see next section). The upshot is that, for Harman, induction should not be considered a warranted form of inference in its own right.

Given the centrality of induction for scientific practice, there have been numerous attempts to respond to the critics of induction, with various degrees of success. Among those, an influential recent response to the problem of induction is Norton’s material theory of induction (Norton 2003). But the problem has not prevented scientists and laypeople alike from continuing to use induction widely. More recently, the use of statistical frequencies for social categories to draw conclusions about specific individuals has become a matter of contention, both at the individual level (see entry on implicit bias ) and at the institutional level (e.g., the use of predictive algorithms for law enforcement [Jorgensen Bolinger 2021]). These debates can be seen as reoccurrences of Hume’s problem of induction, now in the domain of social rather than of natural phenomena.

An abductive argument is one where, from the observation of a few relevant facts, a conclusion is drawn as to what could possibly explain the occurrence of these facts (see entry on abduction ). Abduction is widely thought to be ubiquitous both in science and in everyday life, as well as in other specific domains such as the law, medical diagnosis, and explainable artificial intelligence (Josephson & Josephson 1994). Indeed, a good example of abduction is the closing argument by a prosecutor in a court of law who, after summarizing the available evidence, concludes that the most plausible explanation for it is that the defendant must have committed the crime they are accused of.

Like induction, and unlike deduction, abduction is not necessarily truth-preserving: in the example above, it is still possible that the defendant is not guilty after all, and that some other, unexpected phenomena caused the evidence to emerge. But abduction is significantly different from induction in that it does not only concern the generalization of prior observation for prediction (though it may also involve statistical data): rather, abduction is often backward-looking in that it seeks to explain something that has already happened. The key notion is that of bringing together apparently independent phenomena or events as explanatorily and/or causally connected to each other, something that is absent from a purely inductive argument that only appeals to observed frequencies. Cognitively, abduction taps into the well-known human tendency to seek (causal) explanations for phenomena (Keil 2006).

As noted, deduction and induction have been recognized as important classes of arguments for millennia; the concept of abduction is by comparison a latecomer. It is important to notice though that explanatory arguments as such are not latecomers; indeed, Aristotle’s very conception of scientific demonstration is based on the concept of explaining causes (see entry on Aristotle ). What is recent is the conceptualization of abduction as a special class of arguments, and the term itself. The term was introduced by Peirce as a third class of inferences distinct from deduction and induction: for Peirce, abduction is understood as the process of forming explanatory hypotheses, thus leading to new ideas and concepts (whereas for him deduction and induction could not lead to new ideas or theories; see the entry on Peirce ). Thus seen, abduction pertains to contexts of discovery , in which case it is not clear that it corresponds to instances of arguments, properly speaking. In its modern meaning, however, abduction pertains to contexts of justification , and thus to speak of abductive arguments becomes appropriate. An abductive argument is now typically understood as an inference to the best explanation (Lipton 1971 [2003]), although some authors contend that there are good reasons to distinguish the two concepts (Campos 2011).

While the main ideas behind abduction may seem simple enough, cashing out more precisely how exactly abduction works is a complex matter (see entry on abduction ). Moreover, it is not clear that abductive arguments are always or even generally reliable and cogent. Humans seem to have a tendency to overshoot in their quest for causal explanations, and often look for simplicity where there is none to be found (Lombrozo 2007; but see Sober 2015 on the significance of parsimony in scientific reasoning). There are also a number of philosophical worries pertaining to the justification of abduction, especially in scientific contexts; one influential critique of abduction/inference to the best explanation is the one articulated by van Fraassen (Fraassen 1989). A frequent concern pertains to the connection between explanatory superiority and truth: are we entitled to conclude that the conclusion of an abductive argument is true solely on the basis of it being a good (or even the best) explanation for the phenomena in question? It seems that no amount of philosophical a priori theorizing will provide justification for the leap from explanatory superiority to truth. Instead, defenders of abduction tend to offer empirical arguments showing that abduction tends to be a reliable rule of inference. In this sense, abduction and induction are comparable: they are widely used, grounded in very basic human cognitive tendencies, but they give rise to a number of difficult philosophical problems.

Arguments by analogy are based on the idea that, if two things are similar, what is true of one of them is likely to be true of the other as well (see entry on analogy and analogical reasoning ). Analogical arguments are widely used across different domains of human activity, for example in legal contexts (see entry on precedent and analogy in legal reasoning ). As an example, take an argument for the wrongness of farming non-human animals for food consumption: if an alien species farmed humans for food, that would be wrong; so, by analogy, it is wrong for us humans to farm non-human animals for food. The general idea is captured in the following schema (adapted from the entry on analogy and analogical reasoning ; S is the source domain and T the target domain of the analogy):

• S is similar to T in certain (known) respects.
• S has some further feature Q .
• Therefore, T also has the feature Q , or some feature Q * similar to Q .

The first premise establishes the analogy between two situations, objects, phenomena etc. The second premise states that the source domain has a given property. The conclusion is then that the target domain also has this property, or a suitable counterpart thereof. While informative, this schema does not differentiate between good and bad analogical arguments, and so does not offer much by way of explaining what grounds (good) analogical arguments. Indeed, contentious cases usually pertain to premise 1, and in particular to whether S and T are sufficiently similar in a way that is relevant for having or not having feature Q .

Analogical arguments are widely present in all known philosophical traditions, including three major ancient traditions: Greek, Chinese, and Indian (see Historical Supplement ). Analogies abound in ancient Greek philosophical texts, for example in Plato’s dialogues. In the Gorgias , for instance, the knack of rhetoric is compared to pastry-baking—seductive but ultimately unhealthy—whereas philosophy would correspond to medicine—potentially painful and unpleasant but good for the soul/body (Irani 2017). Aristotle discussed analogy extensively in the Prior Analytics and in the Topics (see section 3.2 of the entry on analogy and analogical reasoning ). In ancient Chinese philosophy, analogy occupies a very prominent position; indeed, it is perhaps the main form of argumentation for Chinese thinkers. Mohist thinkers were particularly interested in analogical arguments (see entries on logic and language in early Chinese philosophy , Mohism and the Mohist canons ). In the Latin medieval tradition too analogy received sustained attention, in particular in the domains of logic, theology and metaphysics (see entry on medieval theories of analogy ).

Analogical arguments continue to occupy a central position in philosophical discussions, and a number of the most prominent philosophical arguments of the last decades are analogical arguments, e.g., Jarvis Thomson’s violinist argument purportedly showing the permissibility of abortion (Thomson 1971), and Searle’s Chinese Room argument purportedly showing that computers cannot display real understanding (see entry on the Chinese Room argument ). (Notice that these two arguments are often described as thought experiments [see entry on thought experiments ], but thought experiments are often based on analogical principles when seeking to make a point that transcends the thought experiment as such.) The Achilles’ heel of analogical arguments can be illustrated by these two examples: both arguments have been criticized on the grounds that the purported similarity between the source and the target domains is not sufficient to extrapolate the property of the source domain (the permissibility of disconnecting from the violinist; the absence of understanding in the Chinese room) to the target domain (abortion; digital computers and artificial intelligence).

In sum, while analogical arguments in general perhaps confer a lesser degree of conviction than the other three kinds of arguments discussed, they are widely used both in professional circles and in everyday life. They have rightly attracted a fair amount of attention from scholars in different disciplines, and remain an important object of study (see entry on analogy and analogical reasoning ).

One of the most extensively studied types of arguments throughout the centuries are, perhaps surprisingly, arguments that appear legitimate but are not, known as fallacious arguments . From early on, the investigation of such arguments occupied a prominent position in Aristotelian logical traditions, inspired in particular by his book Sophistical Refutations (see Historical Supplement ). The thought is that, to argue well, it is not sufficient to be able to produce and recognize good arguments; it is equally (or perhaps even more) important to be able to recognize bad arguments by others, and to avoid producing bad arguments oneself. This is particularly true of the tricky cases, namely arguments that appear legitimate but are not, i.e., fallacies.

Some well-know types of fallacies include (see entry on fallacies for a more extensive discussion):

• The fallacy of equivocation, which occurs when an arguer exploits the ambiguity of a term or phrase which has occurred at least twice in an argument to draw an unwarranted conclusion.
• The fallacy of begging the question, when one of the premises and the conclusion of an argument are the same proposition, but differently formulated.
• The fallacy of appeal to authority, when a claim is supported by reference to an authority instead of offering reasons to support it.
• The ad hominem fallacy, which involves bringing negative aspects of an arguer, or their situation, to argue against the view they are advancing.
• The fallacy of faulty analogy, when an analogy is used as an argument but there is not sufficient relevant similarity between the source domain and the target domain (as discussed above).

Beyond their (presumed?) usefulness in teaching argumentative skills, the literature on fallacies raises a number of important philosophical discussions, such as: What determines when an argument is fallacious or rather a legitimate argument? (See section 4.3 below on Bayesian accounts of fallacies) What causes certain arguments to be fallacious? Is the focus on fallacies a useful approach to arguments at all? (Massey 1981) Despite the occasional criticism, the concept of fallacies remains central in the study of arguments and argumentation.

3. Types of Argumentation

Just as there are different types of arguments, there are different types of argumentative situations, depending on the communicative goals of the persons involved and background conditions. Argumentation may occur when people are trying to reach consensus in a situation of dissent, but it may also occur when scientists discuss their findings with each other (to name but two examples). Specific rules of argumentative engagement may vary depending on these different types of argumentation.

A related point extensively discussed in the recent literature pertains to the function(s) of argumentation. [ 3 ] What’s the point of arguing? While it is often recognized that argumentation may have multiple functions, different authors tend to emphasize specific functions for argumentation at the expense of others. This section offers an overview of discussions on types of argumentation and its functions, demonstrating that argumentation is a multifaceted phenomenon that has different applications in different circumstances.

A question that has received much attention in the literature of the past decades pertains to whether the activity of argumentation is primarily adversarial or primarily cooperative. This question in fact corresponds to two sub-questions: the descriptive question of whether instances of argumentation are on the whole primarily adversarial or cooperative; and the normative question of whether argumentation should be (primarily) adversarial or cooperative. A number of authors have answered “adversarial” to the descriptive question and “cooperative” to the normative question, thus identifying a discrepancy between practices and normative ideals that must be remedied (or so they claim; Cohen 1995).

A case in point: recently, a number of far-right Internet personalities have advocated the idea that argumentation can be used to overpower one’s opponents, as described in the book The Art of the Argument: Western Civilization’s Last Stand (2017) by the white supremacist S. Molyneux. Such aggressive practices reflect a vision of argumentation as a kind of competition or battle, where the goal is to “score points” and “beat the opponent”. Authors who have criticized (overly) adversarial practices of argumentation include (Moulton 1983; Gilbert 1994; Rooney 2012; Hundleby 2013; Bailin & Battersby 2016). Many (but not all) of these authors formulated their criticism specifically from a feminist perspective (see entry on feminist perspectives on argumentation ).

Feminist critiques of adversarial argumentation challenge ideals of argumentation as a form of competition, where masculine-coded values of aggression and violence prevail (Kidd 2020). For these authors, such ideals encourage argumentative performances where excessive use of forcefulness is on display. Instances of aggressive argumentation in turn have a number of problematic consequences: epistemic consequences—the pursuit of truth is not best served by adversarial argumentation—as well as moral/ethical/political consequences—these practices exclude a number of people from participating in argumentative encounters, namely those for whom displays of aggression do not constitute socially acceptable behavior (women and other socially disadvantaged groups in particular). These authors defend alternative conceptions of argumentation as a cooperative, nurturing activity (Gilbert 1994; Bailin & Battersby 2016), which are traditionally feminine-coded values. Crucially, they view adversarial conceptions of argumentation as optional , maintaining that the alternatives are equally legitimate and that cooperative conceptions should be adopted and cultivated.

By contrast, others have argued that adversariality, when suitably understood, can be seen as an integral and in fact desirable component of argumentation (Govier 1999; Aikin 2011; Casey 2020; but notice that these authors each develop different accounts of adversariality in argumentation). Such authors answer “adversarial” both to the descriptive and to the normative questions stated above. One overall theme is the need to draw a distinction between (excessive) aggressiveness and adversariality as such. Govier, for example, distinguishes between ancillary (negative) adversariality and minimal adversariality (Govier 1999). The thought is that, while the feminist critique of excessive aggression in argumentation is well taken, adversariality conceived and practiced in different ways need not have the detrimental consequences of more extreme versions of belligerent argumentation. Moreover, for these authors, adversariality in argumentation is simply not optional: it is an intrinsic feature of argumentative practices, but these practices also require a background of cooperation and agreement regarding, e.g., the accepted rules of inference.

But ultimately, the presumed opposition between adversarial and cooperative conceptions of argumentation may well be merely apparent. It may be argued for example that actual argumentative encounters ought to be adversarial or cooperative to different degrees, as different types of argumentation are required for different situations (Dutilh Novaes forthcoming). Indeed, perhaps we should not look for a one-fits-all model of how argumentation ought to be conducted across different contexts and situation, given the diversity of uses of argumentation.

We speak of argumentation as an epistemic practice when we take its primary purpose to be that of improving our beliefs and increasing knowledge, or of fostering understanding. To engage in argumentation can be a way to acquire more accurate beliefs: by examining critically reasons for and against a given position, we would be able to weed out weaker, poorly justified beliefs (likely to be false) and end up with stronger, suitably justified beliefs (likely to be true). From this perspective, the goal of engaging in argumentation is to learn , i.e., to improve one’s epistemic position (as opposed to argumentation “to win” (Fisher & Keil 2016)). Indeed, argumentation is often said to be truth-conducive (Betz 2013).

The idea that argumentation can be an epistemically beneficial process is as old as philosophy itself. In every major historical philosophical tradition, argumentation is viewed as an essential component of philosophical reflection precisely because it may be used to aim at the truth (indeed this is the core of Plato’s critique of the Sophists and their excessive focus on persuasion at the expense of truth (Irani 2017; see Historical Supplement ). Recent proponents of an epistemological approach to argumentation include (Goldman 2004; Lumer 2005; Biro & Siegel 2006). Alvin Goldman captures this general idea in the following terms:

Norms of good argumentation are substantially dedicated to the promotion of truthful speech and the exposure of falsehood, whether intentional or unintentional. […] Norms of good argumentation are part of a practice to encourage the exchange of truths through sincere, non-negligent, and mutually corrective speech. (Goldman 1994: 30)

Of course, it is at least in theory possible to engage in argumentation with oneself along these lines, solitarily weighing the pros and cons of a position. But a number of philosophers, most notably John Stuart Mill, maintain that interpersonal argumentative situations, involving people who truly disagree with each other, work best to realize the epistemic potential of argumentation to improve our beliefs (a point he developed in On Liberty (1859; see entry on John Stuart Mill ). When our ideas are challenged by engagement with those who disagree with us, we are forced to consider our own beliefs more thoroughly and critically. The result is that the remaining beliefs, those that have survived critical challenge, will be better grounded than those we held before such encounters. Dissenters thus force us to stay epistemically alert instead of becoming too comfortable with existing, entrenched beliefs. On this conception, arguers cooperate with each other precisely by being adversarial, i.e., by adopting a critical stance towards the positions one disagrees with.

The view that argumentation aims at epistemic improvement is in many senses appealing, but it is doubtful that it reflects the actual outcomes of argumentation in many real-life situations. Indeed, it seems that, more often than not, we are not Millians when arguing: we do not tend to engage with dissenting opinions with an open mind. Indeed, there is quite some evidence suggesting that arguments are in fact not a very efficient means to change minds in most real-life situations (Gordon-Smith 2019). People typically do not like to change their minds about firmly entrenched beliefs, and so when confronted with arguments or evidence that contradict these beliefs, they tend to either look away or to discredit the source of the argument as unreliable (Dutilh Novaes 2020c)—a phenomenon also known as “confirmation bias” (Nickerson 1998).

In particular, arguments that threaten our core beliefs and our sense of belonging to a group (e.g., political beliefs) typically trigger all kinds of motivated reasoning (Taber & Lodge 2006; Kahan 2017) whereby one outright rejects those arguments without properly engaging with their content. Relatedly, when choosing among a vast supply of options, people tend to gravitate towards content and sources that confirm their existing opinions, thus giving rise to so-called “echo chambers” and “epistemic bubbles” (Nguyen 2020). Furthermore, some arguments can be deceptively convincing in that they look valid but are not (Tindale 2007; see entry on fallacies ). Because most of us are arguably not very good at spotting fallacious arguments, especially if they are arguments that lend support to the beliefs we already hold, engaging in argumentation may in fact decrease the accuracy of our beliefs by persuading us of false conclusions with incorrect arguments (Fantl 2018).

In sum, despite the optimism of Mill and many others, it seems that engaging in argumentation will not automatically improve our beliefs (even if this may occur in some circumstances). [ 4 ] However, it may still be argued that an epistemological approach to argumentation can serve the purpose of providing a normative ideal for argumentative practices, even if it is not always a descriptively accurate account of these practices in the messy real world. Moreover, at least some concrete instances of argumentation, in particular argumentation in science (see section 4.5 below) seem to offer successful examples of epistemic-oriented argumentative practices.

Another important strand in the literature on argumentation are theories that view consensus as the primary goal of argumentative processes: to eliminate or resolve a difference of (expressed) opinion. The tradition of pragma-dialectics is a prominent recent exponent of this strand (Eemeren & Grootendorst 2004). These consensus-oriented approaches are motivated by the social complexity of human life, and the attribution of a role of social coordination to argumentation. Because humans are social animals who must often cooperate with other humans to successfully accomplish certain tasks, they must have mechanisms to align their beliefs and intentions, and subsequently their actions (Tomasello 2014). The thought is that argumentation would be a particularly suitable mechanism for such alignment, as an exchange of reasons would make it more likely that differences of opinion would decrease (Norman 2016). This may happen precisely because argumentation would be a good way to track truths and avoid falsehoods, as discussed in the previous section; by being involved in the same epistemic process of exchanging reasons, the participants in an argumentative situation would all come to converge towards the truth, and thus the upshot would be that they also come to agree with each other. However, consensus-oriented views need not presuppose that argumentation is truth-conducive: the ultimate goal of such instances of argumentation is that of social coordination, and for this tracking truth is not a requirement (Patterson 2011).

In particular, the very notion of deliberative democracy is viewed as resting crucially on argumentative practices that aim for consensus (Fishkin 2016; see entry on democracy ). (For present purposes, “deliberation” and “argumentation” can be treated as roughly synonymous). In a deliberative democracy, for a decision to be legitimate, it must be preceded by authentic public deliberation—a discussion of the pros and cons of the different options—not merely the aggregation of preferences that occurs in voting. Moreover, in democratic deliberation, when full consensus does not emerge, the parties involved may opt for a compromise solution, e.g., a coalition-based political system.

A prominent theorist of deliberative democracy thus understood is Jürgen Habermas, whose “discourse theory of law and democracy” relies heavily on practices of political justification and argumentation taking place in what he calls “the public sphere” (Habermas 1992 [1996]; 1981 [1984]; see entry on Habermas ). He starts from the idea that politics allows for the collective organization of people’s lives, including the common rules they will live by. Political argumentation is a form of communicative practice, so general assumptions for communicative practices in general apply. However, additional assumptions apply as well (Olson 2011 [2014]). In particular, deliberating participants must accept that anyone can participate in these discursive practices (democratic deliberation should be inclusive), and that anyone can introduce and challenge claims that are made in the public sphere (democratic deliberation should be free). They must also see one another as having equal status, at least for the purposes of deliberation (democratic deliberation should be equal). In turn, critics of Habermas’s account view it as unrealistic, as it presupposes an ideal situation where all citizens are treated equally and engage in public debates in good faith (Mouffe 1999; Geuss 2019).

More generally, it seems that it is only under quite specific conditions that argumentation reliably leads to consensus (as also suggested by formal modeling of argumentative situations (Betz 2013; Olsson 2013; Mäs & Flache 2013)). Consensus-oriented argumentation seems to work well in cooperative contexts, but not so much in situations of conflict (Dutilh Novaes forthcoming). In particular, the discussing parties must already have a significant amount of background agreement—especially agreement on what counts as a legitimate argument or compelling evidence—for argumentation and deliberation to lead to consensus. Especially in situations of deep disagreement (Fogelin 1985), it seems that the potential of argumentation to lead to consensus is quite limited. Instead, in many real-life situations, argumentation often leads to the opposite result; people disagree with each other even more after engaging in argumentation (Sunstein 2002). This is the well-documented phenomenon of group polarization , which occurs when an initial position or tendency of individual members of a group becomes more extreme after group discussion (Isenberg 1986).

In fact, it may be argued that argumentation will often create or exacerbate conflict and adversariality, rather than leading to the resolution of differences of opinions. Furthermore, a focus on consensus may end up reinforcing and perpetuating existing unequal power relations in a society.

In an unjust society, what purports to be a cooperative exchange of reasons really perpetuates patterns of oppression. (Goodwin 2007: 77)

This general point has been made by a number of political thinkers (e.g., Young 2000), who have highlighted the exclusionary implications of consensus-oriented political deliberation. The upshot is that consensus may not only be an unrealistic goal for argumentation; it may not even be a desirable goal for argumentation in a number of situations (e.g., when there is great power imbalance). Despite these concerns, the view that the primary goal of argumentation is to aim for consensus remains influential in the literature.

Finally, a number of authors have attributed to argumentation the potential to manage (pre-existing) conflict. In a sense, the consensus-oriented view of argumentation just discussed is a special case of conflict management argumentation, based on the assumption that the best way to manage conflict and disagreement is to aim for consensus and thus eliminate conflict. But conflict can be managed in different ways, not all of them leading to consensus; indeed, some authors maintain that argumentation may help mitigate conflict even when the explicit aim is not that of reaching consensus. Importantly, authors who identify conflict management (or variations thereof) as a function for argumentation differ in their overall appreciation of the value of argumentation: some take it to be at best futile and at worst destructive, [ 5 ] while others attribute a more positive role to argumentation in conflict management.

To this category also belong the conceptualizations of argumentation-as-war discussed (and criticized) by a number of authors (Cohen 1995; Bailin & Battersby 2016); in such cases, conflict is not so much managed but rather enacted (and possibly exacerbated) by means of argumentation. Thus seen, the function of argumentation would not be fundamentally different from the function of organized competitive activities such as sports or even war (with suitable rules of engagement; Aikin 2011).

When conflict emerges, people have various options: they may choose not to engage and instead prefer to flee; they may go into full-blown fighting mode, which may include physical aggression; or they may opt for approaches somewhere in between the fight-or-flee extremes of the spectrum. Argumentation can be plausibly classified as an intermediary response:

[A]rgument literally is a form of pacifism—we are using words instead of swords to settle our disputes. With argument, we settle our disputes in ways that are most respectful of those who disagree—we do not buy them off, we do not threaten them, and we do not beat them into submission. Instead, we give them reasons that bear on the truth or falsity of their beliefs. However adversarial argument may be, it isn’t bombing. […] argument is a pacifistic replacement for truly violent solutions to disagreements…. (Aikin 2011: 256)

This is not to say that argumentation will always or even typically be the best approach to handle conflict and disagreement; the point is rather that argumentation at least has the potential to do so, provided that the background conditions are suitable and that provisions to mitigate escalation are in place (Aikin 2011). Versions of this view can be found in the work of proponents of agonistic conceptions of democracy and political deliberation (Wenman 2013; see entry on feminist political philosophy ). For agonist thinkers, conflict and strife are inevitable features of human lives, and so cannot be eliminated; but they can be managed. One of them is Chantal Mouffe (Mouffe 2000), for whom democratic practices, including argumentation/deliberation, can serve to contain hostility and transform it into more constructive forms of contest. However, it is far from obvious that argumentation by itself will suffice to manage conflict; typically, other kinds of intervention must be involved (Young 2000), as the risk of argumentation being used to exercise power rather than as a tool to manage conflict always looms large (van Laar & Krabbe 2019).

From these observations on different types of argumentation, a pluralistic picture emerges: argumentation, understood as the exchange of reasons to justify claims, seems to have different applications in different situations. However, it is not clear that some of the goals often attributed to argumentation such as epistemic improvement and reaching consensus can in fact be reliably achieved in many real life situations. Does this mean that argumentation is useless and futile? Not necessarily, but it may mean that engaging in argumentation will not always be the optimal response in a number of contexts.

4. Argumentation Across Fields of Inquiry and Social Practices

Argumentation is practiced and studied in many fields of inquiry; philosophers interested in argumentation have much to benefit from engaging with these bodies of research as well.

To understand the emergence of argumentation theory as a specific field of research in the twentieth century, a brief discussion of preceding events is necessary. In the nineteenth century, a number of textbooks aiming to improve everyday reasoning via public education emphasized logical and rhetorical concerns, such as those by Richard Whately (see entry on fallacies ). As noted in section 3.2 , John Stuart Mill also had a keen interest in argumentation and its role in public discourse (Mill 1859), as well as an interest in logic and reasoning (see entries on Mill and on fallacies ). But with the advent of mathematical logic in the final decades of the nineteenth century, logic and the study of ordinary, everyday argumentation came apart, as logicians such as Frege, Hilbert, Russell etc. were primarily interested in mathematical reasoning and argumentation. As a result, their logical systems are not particularly suitable to study everyday argumentation, as this is simply not what they were designed to do. [ 6 ]

Nevertheless, in the twentieth century a number of authors took inspiration from developments in formal logic and expanded the use of logical tools to the analysis of ordinary argumentation. A pioneer in this tradition is Susan Stebbing, who wrote what can be seen as the first textbook in analytic philosophy, and then went on to write a number of books aimed at a general audience addressing everyday and public discourse from a philosophical/logical perspective (see entry on Susan Stebbing ). Her 1939 book Thinking to Some Purpose , which can be considered as one of the first textbooks in critical thinking, was widely read at the time, but did not become particularly influential for the development of argumentation theory in the decades to follow.

By contrast, Stephen Toulmin’s 1958 book The Uses of Argument has been tremendously influential in a wide range of fields, including critical thinking education, rhetoric, speech communication, and computer science (perhaps even more so than in Toulmin’s own original field, philosophy). Toulmin’s aim was to criticize the assumption (widely held by Anglo-American philosophers at the time) that any significant argument can be formulated in purely formal, deductive terms, using the formal logical systems that had emerged in the preceding decades (see (Eemeren, Garssen, et al. 2014: ch. 4). While this critique was met with much hostility among fellow philosophers, it eventually gave rise to an alternative way of approaching argumentation, which is often described as “informal logic” (see entry on informal logic ). This approach seeks to engage and analyze instances of argumentation in everyday life; it recognizes that, while useful, the tools of deductive logic alone do not suffice to investigate argumentation in all its complexity and pragmatic import. In a similar vein, Charles Hamblin’s 1970 book Fallacies reinvigorated the study of fallacies in the context of argumentation by re-emphasizing (following Aristotle) the importance of a dialectical-dialogical background when reflecting on fallacies in argumentation (see entry on fallacies ).

Around the same time as Toulmin, Chaïm Perelman and Lucie Olbrechts-Tyteca were developing an approach to argumentation that emphasized its persuasive component. To this end, they turned to classical theories of rhetoric, and adapted them to give rise to what they described as the “New Rhetoric”. Their book Traité de l’argumentation: La nouvelle rhétorique was published in 1958 in French, and translated into English in 1969. Its key idea:

since argumentation aims at securing the adherence of those to whom it is addressed, it is, in its entirety, relative to the audience to be influenced. (Perelman & Olbrechts-Tyteca 1958 [1969: 19])

They introduced the influential distinction between universal and particular audiences: while every argument is directed at a specific individual or group, the concept of a universal audience serves as a normative ideal encapsulating shared standards of agreement on what counts as legitimate argumentation (see Eemeren, Garssen, et al. 2014: ch. 5).

The work of these pioneers provided the foundations for subsequent research in argumentation theory. One approach that became influential in the following decades is the pragma-dialectics tradition developed by Frans van Eemeren and Rob Grootendorst (Eemeren & Grootendorst 1984, 2004). They also founded the journal Argumentation , one of the flagship journals in argumentation theory. Pragma-dialectics was developed to study argumentation as a discourse activity, a complex speech act that occurs as part of interactional linguistic activities with specific communicative goals (“pragma” refers to the functional perspective of goals, and “dialectic” to the interactive component). For these authors, argumentative discourse is primarily directed at the reasonable resolution of a difference of opinion. Pragma-dialectics has a descriptive as well as a normative component, thus offering tools both for the analysis of concrete instances of argumentation and for the evaluation of argumentation correctness and success (see Eemeren, Garssen, et al. 2014: ch. 10).

Another leading author in argumentation theory is Douglas Walton, who pioneered the argument schemes approach to argumentation that borrows tools from formal logic but expands them so as to treat a wider range of arguments than those covered by traditional logical systems (Walton, Reed, & Macagno 2008). Walton also formulated an influential account of argumentation in dialogue in collaboration with Erik Krabbe (Walton & Krabbe 1995). Ralph Johnson and Anthony Blair further helped to consolidate the field of argumentation theory and informal logic by founding the Centre for Research in Reasoning, Argumentation, and Rhetoric in Windsor (Ontario, Canada), and by initiating the journal Informal Logic . Their textbook Logical Self-Defense (Johnson & Blair 1977) has also been particularly influential.

The study of argumentation within computer science and artificial intelligence is a thriving field of research, with dedicated journals such as Argument and Computation and regular conference series such as COMMA (International Conference on Computational Models of Argument; see Rahwan & Simari 2009 and Eemeren, Garssen, et al. 2014: ch. 11 for overviews).

The historical roots of argumentation research in artificial intelligence can be traced back to work on non-monotonic logics (see entry on non-monotonic logics ) and defeasible reasoning (see entry on defeasible reasoning ). Since then, three main different perspectives have emerged (Eemeren, Garssen, et al. 2014: ch. 11): the theoretical systems perspective, where the focus is on theoretical and formal models of argumentation (following the tradition of philosophical and formal logic); the artificial systems perspective, where the aim is to build computer programs that model or support argumentative tasks, for instance, in online dialogue games or in expert systems; the natural systems perspective, which investigates argumentation in its natural form with the help of computational tools (e.g., argumentation mining [Peldszus & Stede 2013; Habernal & Gurevych 2017], where computational methods are used to identify argumentative structures in large corpora of texts).

An influential approach in this research tradition is that of abstract argumentation frameworks , initiated by the pioneering work of Dung (1995). Before that, argumentation in AI was studied mostly under the inspiration of concepts coming from informal logic such as argumentation schemes, context, stages of dialogues and argument moves. By contrast, the key notion in the framework proposed by Dung is that of argument attack , understood as an abstract formal relation roughly intended to capture the idea that it is possible to challenge an argument by means of another argument (assertions are understood as a special case of arguments with zero premises). Arguments can then be represented in networks of attacks and defenses: an argument A can attack an argument B , and B in turn may attack further arguments C and D (the connection with the notion of defeaters is a natural one, which Dung also addresses).

Besides abstract argumentation, three other important lines of research in AI are: the (internal) structure of arguments; argumentation in multi-agent systems; applications to specific tasks and domains (Rahwan & Siwari 2009). The structural approach investigates formally features such as argument strength/force (e.g., a conclusive argument is stronger than a defeasible argument), argument schemes (Bex, Prakken, Reed, & Walton 2003) etc. Argumentation in multi-agent systems is a thriving subfield with its own dedicated conference series (ArgMAS), based on the recognition that argumentation is a particularly suitable vehicle to facilitate interaction in the artificial environments studied by AI researchers working on multi-agent systems (see a special issue of the journal Argument & Computation [Atkinson, Cerutti, et al. 2016]). Finally, computational approaches in argumentation have also thrived with respect to specific domains and applications, such as legal argumentation (Prakken & Sartor 2015). Recently, as a reaction to the machine-learning paradigm, the idea of explainable AI has gotten traction, and the concept of argumentation is thought to play a fundamental role for explainable AI (Sklar & Azhar 2018).

Argumentation is also an important topic of investigation within cognitive science and psychology. Researchers in these fields are predominantly interested in the descriptive question of how people in fact engage in argumentation, rather than in the normative question of how they ought to do it (although some of them have also drawn normative conclusions, e.g., Hahn & Oaksford 2006; Hahn & Hornikx, 2016). Controlled experiments are one of the ways in which the descriptive question can be investigated.

Systematic research specifically on argumentation within cognitive science and psychology has significantly increased over the last 10 years. Before that, there had been extensive research on reasoning conceived as an individual, internal process, much of which had been conducted using task materials such as syllogistic arguments (Dutilh Novaes 2020b). But due to what may be described as an individualist bias in cognitive science and psychology (Mercier 2018), these researchers did not draw explicit connections between their findings and the public acts of “giving and asking for reasons”. It is only somewhat recently that argumentation began to receive sustained attention from these researchers. The investigations of Hugo Mercier and colleagues (Mercier & Sperber 2017; Mercier 2018) and of Ulrike Hahn and colleagues (Hahn & Oaksford 2007; Hornikx & Hahn 2012; Collins & Hahn 2018) have been particularly influential. (See also Paglieri, Bonelli, & Felletti 2016, an edited volume containing a representative overview of research on the psychology of argumentation.) Another interesting line of research has been the study of the development of reasoning and argumentative skills in young children (Köymen, Mammen, & Tomasello 2016; Köymen & Tomasello 2020).

Mercier and Sperber defend an interactionist account of reasoning, according to which the primary function of reasoning is for social interactions, where reasons are exchanged and receivers of reasons decide whether they find them convincing—in other words, for argumentation (Mercier & Sperber 2017). They review a wealth of evidence suggesting that reasoning is rather flawed when it comes to drawing conclusions from premises in order to expand one’s knowledge. From this they conclude, on the basis of evolutionary arguments, that the function of reasoning must be a different one, indeed one that responds to features of human sociality and the need to exercise epistemic vigilance when receiving information from others. This account has inaugurated a rich research program which they have been pursuing with colleagues for over a decade now, and which has delivered some interesting results—for example, that we seem to be better at evaluating the quality of arguments proposed by others than at formulating high-quality arguments ourselves (Mercier 2018).

In the context of the Bayesian (see entry on Bayes’ theorem ) approach to reasoning that was first developed by Mike Oaksford and Nick Chater in the 1980s (Oaksford & Chater 2018), Hahn and colleagues have extended the Bayesian framework to the investigation of argumentation. They claim that Bayesian probabilities offer an accurate descriptive model of how people evaluate the strength of arguments (Hahn & Oaksford 2007) as well as a solid perspective to address normative questions pertaining to argument strength (Hahn & Oaksford 2006; Hahn & Hornikx 2016). The Bayesian approach allows for the formulation of probabilistic measures of argument strength, showing that many so-called “fallacies” may nevertheless be good arguments in the sense that they considerably raise the probability of the conclusion. For example, deductively invalid argument schemes (such as affirming the consequent (AC) and denying the antecedent (DA)) can also provide considerable support for a conclusion, depending on the contents in question. The extent to which this is the case depends primarily on the specific informational context, captured by the prior probability distribution, not on the structure of the argument. This means that some instances of, say, AC, may offer support to a conclusion while others may fail to do so (Eva & Hartmann 2018). Thus seen, Bayesian argumentation represents a significantly different approach to argumentation from those inspired by logic (e.g., argument schemes), but they are not necessarily incompatible; they may well be complementary perspectives (see also [Zenker 2013]).

Argumentation is primarily (though not exclusively) a linguistic phenomenon. Accordingly, argumentation is extensively studied in fields dedicated to the study of language, such as rhetoric, linguistics, discourse analysis, communication, and pragmatics, among others (see Eemeren, Garssen, et al. 2014: chs 8 and 9). Researchers in these areas develop general theoretical models of argumentation and investigate concrete instances of argumentation in specific domains on the basis of linguistic corpora, discourse analysis, and other methods used in the language sciences (see the edited volume Oswald, Herman, & Jacquin [2018] for a sample of the different lines of research). Overall, research on argumentation within the language sciences tends to focus primarily on concrete occurrences of arguments in a variety of domains, adopting a largely descriptive rather than normative perspective (though some of these researchers also tackle normative considerations).

Some of these analyses approach arguments and argumentation primarily as text or self-contained speeches, while others emphasize the interpersonal, communicative nature of “face-to-face” argumentation (see Eemeren, Garssen, et al. 2014: section 8.9). One prominent approach in this tradition is due to communication scholars Sally Jackson and Scott Jacobs. They have drawn on speech act theory and conversation analysis to investigate argumentation as a disagreement-relevant expansion of speech acts that, through mutually recognized reasons, allows us to manage disagreements despite the challenges they pose for communication and coordination of activities (Jackson & Jacobs 1980; Jackson 2019). Moreover, they perceive institutionalized practices of argumentation and concrete “argumentation designs”—such as for example randomized controlled trials in medicine—as interventions aimed at improving methods of disagreement management through argumentation.

Another communication scholar, Dale Hample, has further argued for the importance of approaching argumentation as an essentially interpersonal communicative activity (Hample 2006, 2018). This perspective allows for the consideration of a broader range of factors, not only the arguments themselves but also (and primarily) the people involved in those processes: their motivations, psychological processes, and emotions. It also allows for the formulation of questions pertaining to individual as well as cultural differences in argumentative styles (see section 5.3 below).

Another illuminating perspective views argumentative practices as inherently tied to broader socio-cultural contexts (Amossy 2009). The Journal of Argumentation in Context was founded in 2012 precisely to promote a contextual approach to argumentation. Once argumentation is no longer only considered in abstraction from concrete instances taking place in real-life situations, it becomes imperative to recognize that argumentation does not take place in a vacuum; typically, argumentative practices are embedded in other kinds of practices and institutions, against the background of specific socio-cultural, political structures. The method of discourse analysis is particularly suitable for a broader perspective on argumentation, as shown by the work of Ruth Amossy (2002) and Marianne Doury (2009), among others.

Argumentation is crucial in a number of specific organized social practices, in particular in politics, science, law, and education. The relevant argumentative practices are studied in each of the corresponding knowledge domains; indeed, while some general principles may govern argumentative practices across the board, some may be specific to particular applications and domains.

As already mentioned, argumentation is typically viewed as an essential component of political democratic practices, and as such it is of great interest to political scientists and political theorists (Habermas 1992 [1996]; Young 2000; Landemore 2013; Fishkin 2016; see entry on democracy ). (The term typically used in this context is “deliberation” instead of “argumentation”, but these can be viewed as roughly synonymous for our purposes.) General theories of argumentation such as pragma-dialectic and the Toulmin model can be applied to political argumentation with illuminating results (Wodak 2016; Mohammed 2016). More generally, political discourse seems to have a strong argumentative component, in particular if argumentation is understood more broadly as not only pertaining to rational discourse ( logos ) but as also including what rhetoricians refer to as pathos and ethos (Zarefsky 2014; Amossy 2018). But critics of argumentation and deliberation in political contexts also point out the limitations of the classical deliberative model (Sanders 1997; Talisse 2019).

Moreover, scientific communities seem to offer good examples of (largely) well-functioning argumentative practices. These are disciplined systems of collective epistemic activity, with tacit but widely endorsed norms for argumentative engagement for each domain (which does not mean that there are not disagreements on these very norms). The case of mathematics has already been mentioned above: practices of mathematical proof are quite naturally understood as argumentative practices (Dutilh Novaes 2020a). Furthermore, when a scientist presents a new scientific claim, it must be backed by arguments and evidence that her peers are likely to find convincing, as they follow from the application of widely agreed-upon scientific methods (Longino 1990; Weinstein 1990; Rehg 2008; see entry on the social dimensions of scientific knowledge ). Other scientists will in turn critically examine the evidence and arguments provided, and will voice objections or concerns if they find aspects of the theory to be insufficiently convincing. Thus seen, science may be viewed as a “game of giving and asking for reasons” (Zamora Bonilla 2006). Certain features of scientific argumentation seem to ensure its success: scientists see other scientists as prima facie peers, and so (typically at least) place a fair amount of trust in other scientists by default; science is based on the principle of “organized skepticism” (a term introduced by the pioneer sociologist of science Robert Merton [Merton, 1942]), which means that asking for further reasons should not be perceived as a personal attack. These are arguably aspects that distinguish argumentation in science from argumentation in other domains in virtue of these institutional factors (Mercier & Heintz 2014). But ultimately, scientists are part of society as a whole, and thus the question of how scientific and political argumentation intersect becomes particularly relevant (Kitcher 2001).

Another area where argumentation is essential is the law, which also corresponds to disciplined systems of collective activity with rules and principles for what counts as acceptable arguments and evidence. legal reasoning ).--> In litigation (in particular in adversarial justice systems), there are typically two sides disagreeing on what is lawful or just, and the basic idea is that each side will present its strongest arguments; it is the comparison between the two sets of arguments that should lead to the best judgment (Walton 2002). Legal reasoning and argumentation have been extensively studied within jurisprudence for decades, in particular since Ronald Dworkin’s (1977) and Neil MacCormick’s (1978) responses to HLA Hart’s highly influential The Concept of Law (1961). A number of other views and approaches have been developed, in particular from the perspectives of natural law theory, legal positivism, common law, and rhetoric (see Feteris 2017 for an overview). Overall, legal argumentation is characterized by extensive uses of analogies (Lamond 2014), abduction (Askeland 2020), and defeasible/non-monotonic reasoning (Bex & Verheij 2013). An interesting question is whether argumentation in law is fundamentally different from argumentation in other domains, or whether it follows the same overall canons and norms but applied to legal topics (Raz 2001).

Finally, the development of argumentative skills is arguably a fundamental aspect of (formal) education (Muller Mirza & Perret-Clermont 2009). Ideally, when presented with arguments, a learner should not simply accept what is being said at face value, but should instead reflect on the reasons offered and come to her own conclusions. Argumentation thus fosters independent, critical thinking, which is viewed as an important goal for education (Siegel 1995; see entry on critical thinking ). A number of education theorists and developmental psychologists have empirically investigated the effects of emphasizing argumentative skills in educational settings, with encouraging results (Kuhn & Crowell 2011). There has been in particular much emphasis on argumentation specifically in science education, based on the assumption that argumentation is a key component of scientific practice (as noted above); the thought is that this feature of scientific practice should be reflected in science education (Driver, Newton, & Osborne 2000; Erduran & Jiménez-Aleixandre 2007).

5. Further Topics

Argumentation is a multi-faceted phenomenon, and the literature on arguments and argumentation is massive and varied. This entry can only scratch the surface of the richness of this material, and many interesting, relevant topics must be left out for reasons of space. In this final section, a selection of topics that are likely to attract considerable interest in future research are discussed.

In recent years, the concept of epistemic injustice has received much attention among philosophers (Fricker 2007; McKinnon 2016). Epistemic injustice occurs when a person is unfairly treated qua knower on the basis of prejudices pertaining to social categories such as gender, race, class, ability etc. (see entry on feminist epistemology and philosophy of science ). One of the main categories of epistemic injustice discussed in the literature pertains to testimony and is known as testimonial injustice : this occurs when a testifier is not given a degree of credibility commensurate to their actual expertise on the relevant topic, as a result of prejudice. (Whether credibility excess is also a form of testimonial injustice is a moot point in the literature [Medina 2011].)

Since argumentation can be viewed as an important mechanism for sharing knowledge and information, i.e., as having significant epistemic import (Goldman 2004), the question arises whether there might be instances of epistemic injustice pertaining specifically to argumentation, which may be described as argumentative injustice , and which would be notably different from other recognized forms of epistemic injustice such as testimonial injustice. Bondy (Bondy 2010) presented a first articulation of the notion of argumentative injustice, modeled after Fricker’s notion of epistemic injustice and relying on a broadly epistemological conception of argumentation. However, Bondy’s analysis does not take into account some of the structural elements that have become central to the analysis of epistemic injustice since Fricker’s influential work, so it seems further discussion of epistemic injustice in argumentation is still needed. For example, in situations of disagreement, epistemic injustice can give rise to further obstacles to rational argumentation, leading to deep disagreement (Lagewaard 2021).

Moreover, as often noted by critics of adversarial approaches, argumentation can also be used as an instrument of domination and oppression used to overpower and denigrate an interlocutor (Nozick 1981), especially an interlocutor of “lower” status in the context in question (Moulton 1983; see entry on feminist approaches to argumentation ). From this perspective, it is clear that argumentation may also be used to reinforce and exacerbate injustice, inequalities and power differentials (Goodwin 2007). Given this possibility, and in response to the perennial risk of excessive aggressiveness in argumentative situations, a normative account of how argumentation ought to be conducted so as to avoid these problematic outcomes seem to be required.

One such approach is virtue argumentation theory . Drawing on virtue ethics and virtue epistemology (see entries on virtue ethics and virtue epistemology ), virtue argumentation theory seeks to theorize how to argue well in terms of the dispositions and character of arguers rather than, for example, in terms of properties of arguments considered in abstraction from arguers (Aberdein & Cohen 2016). Some of the argumentative virtues identified in the literature are: willingness to listen to others (Cohen 2019), willingness to take a novel viewpoint seriously (Kwong 2016), humility (Kidd 2016), and open-mindedness (Tanesini 2020).

By the same token, defective argumentation is conceptualized not (only) in terms of structural properties of arguments (e.g., fallacious argument patterns), but in terms of the vices displayed by arguers such as arrogance and narrow-mindedness, among others (Aberdein 2016). Virtue argumentation theory now constitutes a vibrant research program, as attested by a special issue of Topoi dedicated to the topic (see [Aberdein & Cohen 2016] for its Introduction). It allows for a reconceptualization of classical themes within argumentation theory while also promising to provide concrete recommendations on how to argue better. Whether it can fully counter the risk of epistemic injustice and oppressive uses of argumentation is however debatable, at least as long as broader structural factors related to power dynamics are not sufficiently taken into account (Kukla 2014).

On some idealized construals, argumentation is conceived as a purely rational, emotionless endeavor. But the strong connection between argumentative activities and emotional responses has also long been recognized (in particular in rhetorical analyses of argumentation), and more recently has become the object of extensive research (Walton 1992; Gilbert 2004; Hample 2006: ch. 5). Importantly, the recognition of a role for emotions in argumentation does not entail a complete rejection of the “rationality” of argumentation; rather, it is based on the rejection of a strict dichotomy between reason and emotion (see entry on emotion ), and on a more encompassing conception of argumentation as a multi-layered human activity.

Rather than dispassionate exchanges of reasons, instances of argumentation typically start against the background of existing emotional relations, and give rise to further affective responses—often, though not necessarily, negative responses of aggression and hostility. Indeed, it has been noted that, by itself, argumentation can give rise to conflict and friction where there was none to be found prior to the argumentative engagement (Aikin 2011). This occurs in particular because critical engagement and requests for reasons are at odds with default norms of credulity in most mundane dialogical interactions, thus creating a perception of antagonism. But argumentation may also give rise to positive affective responses if the focus is on coalescence and cooperation rather than on hostility (Gilbert 1997).

The descriptive claim that instances of argumentation are typically emotionally charged is not particularly controversial, though it deserves to be further investigated; the details of affective responses during instances of argumentation and how to deal with them are non-trivial (Krabbe & van Laar 2015). What is potentially more controversial is the normative claim that instances of argumentation may or should be emotionally charged, i.e., that emotions may or ought to be involved in argumentative processes, even if it may be necessary to regulate them in such situations rather than giving them free rein (González, Gómez, & Lemos 2019). The significance of emotions for persuasion has been recognized for millennia (see entry on Aristotle’s rhetoric ), but more recently it has become clear that emotions also have a fundamental role to play for choices of what to focus on and what to care about (Sinhababu 2017). This general point seems to apply to instances of argumentation as well. For example, Howes and Hundleby (Howes & Hundleby 2018) argue that, contrary to what is often thought, anger can in fact make a positive contribution to argumentative encounters. Indeed, anger may have an important epistemological role in such encounters by drawing attention to relevant premises and information that may otherwise go unnoticed. (They recognize that anger may also derail argumentation when the encounter becomes a full-on confrontation.)

In sum, the study of the role of emotions for argumentation, both descriptively and normatively speaking, has attracted the interest of a number of scholars, traditionally in connection with rhetoric and more recently also from the perspective of argumentation as interpersonal communication (Hample 2006). And yet, much work remains to be done on the significance of emotions for argumentation, in particular given that the view that argumentation should be a purely rational, dispassionate endeavor remains widely (even if tacitly) endorsed.

Once we adopt the perspective of argumentation as a communicative practice, the question of the influence of cultural factors on argumentative practices naturally arises. Is there significant variability in how people engage in argumentation depending on their sociocultural backgrounds? Or is argumentation largely the same phenomenon across different cultures? Actually, we may even ask ourselves whether argumentation in fact occurs in all human cultures, or whether it is the product of specific, contingent background conditions, thus not being a human universal. For comparison: it had long been assumed that practices of counting were present in all human cultures, even if with different degrees of complexity. But in recent decades it has been shown that some cultures do not engage systematically in practices of counting and basic arithmetic at all, such as the Pirahã in the Amazon (Gordon 2004; see entry on culture and cognitive science ). By analogy, it seems that the purported universality of argumentative practices should not be taken for granted, but rather be treated as a legitimate empirical question. (Incidentally, there is some anecdotal evidence that the Pirahã themselves engage in argumentative exchanges [Everett 2008], but to date their argumentative skills have not been investigated systematically, as is the case with their numerical skills.)

Of course, how widespread argumentative practices will be also depends on how the concept of “argumentative practices” is defined and operationalized in the first place. If it is narrowly defined as corresponding to regimented practices of reason-giving requiring clear markers and explicit criteria for what counts as premises, conclusions and relations of support between them, then argumentation may well be restricted to cultures and subcultures where such practices have been explicitly codified. By contrast, if argumentation is defined more loosely, then a wider range of communicative practices will be considered as instances of argumentation, and thus presumably more cultures will be found to engage in (what is thus viewed as) argumentation. This means that the spread of argumentative practices across cultures is not only an empirical question; it also requires significant conceptual input to be addressed.

But if (as appears to be the case) argumentation is not a strictly WEIRD phenomenon, restricted to Western, Educated, Industrialized, Rich, and Democratic societies (Henrich, Heine, & Norenzayan 2010), then the issue of cross-cultural variability in argumentative practices gives rise to a host of research questions, again both at the descriptive and at the normative level. Indeed, even if at the descriptive level considerable variability in argumentative practices is identified, the normative question of whether there should be universally valid canons for argumentation, or instead specific norms for specific contexts, remains pressing. At the descriptive level, a number of researchers have investigated argumentative practices in different WEIRD as well as non-WEIRD cultures, also addressing questions of cultural variability (Hornikx & Hoeken 2007; Hornikx & de Best 2011).

A foundational work in this context is Edwin Hutchins’ 1980 book Culture and Inference , a study of the Trobriand Islanders’ system of land tenure in Papua New Guinea (Hutchins 1980). While presented as a study of inference and reasoning among the Trobriand Islanders, what Hutchins in fact investigated were instances of legal argumentation in land courts by means of ethnographic observation and interviews with litigants. This led to the formulation of a set of twelve basic propositions codifying knowledge about land tenure, as well as transfer formulas governing how this knowledge can be applied to new disputes. Hutchins’ analysis showed that the Trobriand Islanders had a sophisticated argumentation system to resolve issues pertaining to land tenure, in many senses resembling argumentation and reasoning in so-called WEIRD societies in that it seemed to recognize as valid simple logical structures such as modus ponens and modus tollens .

More recently, Hugo Mercier and colleagues have been conducting studies in countries such as Japan (Mercier, Deguchi, Van der Henst, & Yama 2016) and Guatemala (Castelain, Girotto, Jamet, & Mercier 2016). While recognizing the significance and interest of cultural differences (Mercier 2013), Mercier maintains that argumentation is a human universal, as argumentative capacities and tendencies are a result of natural selection, genetically encoded in human cognition (Mercier 2011; Mercier & Sperber 2017). He takes the results of the cross-cultural studies conducted so far as confirming the universality of argumentation, even considering cultural differences (Mercier 2018).

Another scholar who has been carrying out an extensive research program on cultural differences in argumentation is communication theorist Dale Hample. With different sets of colleagues, he has conducted studies by means of surveys where participants (typically, university undergraduates) self-report on their argumentative practices in countries such as China, Japan, Turkey, Chile, the Netherlands, Portugal, the United States (among others; Hample 2018: ch. 7). His results overall show a number of similarities, which may be partially explained by the specific demographic (university students) from which participants are usually recruited. But interesting differences have also been identified, for example different levels of willingness to engage in argumentative encounters.

In a recent book (Tindale 2021), philosopher Chris Tindale adopts an anthropological perspective to investigate how argumentative practices emerge from the experiences of peoples with diverse backgrounds. He emphasizes the argumentative roles of place, orality, myth, narrative, and audience, also assessing the impacts of colonialism on the study of argumentation. Tindale reviews a wealth of anthropological and ethnographic studies on argumentative practices in different cultures, thus providing what is to date perhaps the most comprehensive study on argumentation from an anthropological perspective.

On the whole, the study of differences and commonalities in argumentative practices across cultures is an established line of research on argumentation, but arguably much work remains to be done to investigate these complex phenomena more thoroughly.

So far we have not yet considered the question of the different media through which argumentation can take place. Naturally, argumentation can unfold orally in face-to-face encounters—discussions in parliament, political debates, in a court of law—as well as in writing—in scientific articles, on the Internet, in newspaper editorials. Moreover, it can happen synchronically, with real-time exchanges of reasons, or asynchronically. While it is reasonable to expect that there will be some commonalities across these different media and environments, it is also plausible that specific features of different environments may significantly influence how argumentation is conducted: different environments present different kinds of affordances for arguers (Halpern & Gibbs 2013; Weger & Aakhus 2003; see entry on embodied cognition for the concept of affordance). Indeed, if the Internet represents a fundamentally novel cognitive ecology (Smart, Heersmink, & Clowes 2017), then it will likely give rise to different forms of argumentative engagement (Lewiński 2010). Whether these new forms will represent progress (according to some suitable metric) is however a moot point.

In the early days of the Internet in the 1990s, there was much hope that online spaces would finally realize the Habermasian ideal of a public sphere for political deliberation (Hindman 2009). The Internet was supposed to act as the great equalizer in the worldwide marketplace of ideas, finally attaining the Millian ideal of free exchange of ideas (Mill 1859). Online, everyone’s voice would have an equal chance of being heard, everyone could contribute to the conversation, and everyone could simultaneously be a journalist, news consumer, engaged citizen, advocate, and activist.

A few decades later, these hopes have not really materialized. It is probably true that most people now argue more —in social media, blogs, chat rooms, discussion boards etc.—but it is much less obvious that they argue better . Indeed, rather than enhancing democratic ideals, some have gone as far as claiming that instead, the Internet is “killing democracy” (Bartlett 2018). There is very little oversight when it comes to the spreading of propaganda and disinformation online (Benkler, Faris, & Roberts 2018), which means that citizens are often being fed faulty information and arguments. Moreover, it seems that online environments may lead to increased polarization when polemic topics are being discussed (Yardi & Boyd 2010), and to “intellectual arrogance” (Lynch 2019). Some have argued that online discussions lead to more overly emotional engagement when compared to other forms of debate (Kramer, Guillory, & Hancock 2014). But not everyone is convinced that the Internet has only made things worse when it comes to argumentation, or in any case that it cannot be suitably redesigned so as to foster rather than destroy democratic ideals and deliberation (Sunstein 2017).

Be that as it may, the Internet is here to stay, and online argumentation is a pervasive phenomenon that argumentation theorists have been studying and will continue to study for years to come. In fact, if anything, online argumentation is now more often investigated empirically than other forms of argumentation, among other reasons thanks to the development of argument mining techniques (see section 4.2 above) which greatly facilitate the study of large corpora of textual material such as those produced by online discussions. Beyond the very numerous specific case studies available in the literature, there have been also attempts to reflect on the phenomenon of online argumentation in general, for example in journal special issues dedicated to argumentation in digital media such as in Argumentation and Advocacy (Volume 47(2), 2010) and Philosophy & Technology (Volume 30(2), 2017). However, a systematic analysis of online argumentation and how it differs from other forms of argumentation remains to be produced.

Argument and argumentation are multifaceted phenomena that have attracted the interest of philosophers as well as scholars in other fields for millennia, and continue to be studied extensively in various domains. This entry presents an overview of the main strands in these discussions, while acknowledging the impossibility of fully doing justice to the enormous literature on the topic. But the literature references below should at least provide a useful starting point for the interested reader.

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abduction | analogy: medieval theories of | analogy and analogical reasoning | Aristotle | Aristotle, General Topics: logic | Aristotle, General Topics: rhetoric | Bacon, Francis | Bayes’ Theorem | bias, implicit | Chinese Philosophy: logic and language in Early Chinese Philosophy | Chinese Philosophy: Mohism | Chinese Philosophy: Mohist Canons | Chinese room argument | cognition: embodied | critical thinking | Curry’s paradox | democracy | emotion | epistemology: virtue | ethics: virtue | fallacies | feminist philosophy, interventions: epistemology and philosophy of science | feminist philosophy, interventions: political philosophy | feminist philosophy, topics: perspectives on argumentation | Habermas, Jürgen | Hume, David | induction: problem of | legal reasoning: precedent and analogy in | liar paradox | logic: inductive | logic: informal | logic: non-monotonic | logic: paraconsistent | logic: relevance | logical consequence | Peirce, Charles Sanders | reasoning: defeasible | scientific knowledge: social dimensions of | Spinoza, Baruch | Stebbing, Susan | thought experiments

Acknowledgments

Thanks to Merel Talbi, Elias Anttila, César dos Santos, Hein Duijf, Silvia Ivani, Caglar Dede, Colin Rittberg, Marcin Lewiński, Andrew Aberdein, Malcolm Keating, Maksymillian Del Mar, and an anonymous referee for suggestions and/or comments on earlier drafts. This research was supported by H2020 European Research Council [771074-SEA].

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Defining Critical Thinking

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Research Article

Fostering Critical Thinking, Reasoning, and Argumentation Skills through Bioethics Education

* E-mail: [email protected]

Affiliation Northwest Association for Biomedical Research, Seattle, Washington, United States of America

Affiliation Center for Research and Learning, Snohomish, Washington, United States of America

• Jeanne Ting Chowning, 
• Joan Carlton Griswold, 
• Dina N. Kovarik, 
• Laura J. Collins

• Published: May 11, 2012
• https://doi.org/10.1371/journal.pone.0036791
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Developing a position on a socio-scientific issue and defending it using a well-reasoned justification involves complex cognitive skills that are challenging to both teach and assess. Our work centers on instructional strategies for fostering critical thinking skills in high school students using bioethical case studies, decision-making frameworks, and structured analysis tools to scaffold student argumentation. In this study, we examined the effects of our teacher professional development and curricular materials on the ability of high school students to analyze a bioethical case study and develop a strong position. We focused on student ability to identify an ethical question, consider stakeholders and their values, incorporate relevant scientific facts and content, address ethical principles, and consider the strengths and weaknesses of alternate solutions. 431 students and 12 teachers participated in a research study using teacher cohorts for comparison purposes. The first cohort received professional development and used the curriculum with their students; the second did not receive professional development until after their participation in the study and did not use the curriculum. In order to assess the acquisition of higher-order justification skills, students were asked to analyze a case study and develop a well-reasoned written position. We evaluated statements using a scoring rubric and found highly significant differences (p<0.001) between students exposed to the curriculum strategies and those who were not. Students also showed highly significant gains (p<0.001) in self-reported interest in science content, ability to analyze socio-scientific issues, awareness of ethical issues, ability to listen to and discuss viewpoints different from their own, and understanding of the relationship between science and society. Our results demonstrate that incorporating ethical dilemmas into the classroom is one strategy for increasing student motivation and engagement with science content, while promoting reasoning and justification skills that help prepare an informed citizenry.

Citation: Chowning JT, Griswold JC, Kovarik DN, Collins LJ (2012) Fostering Critical Thinking, Reasoning, and Argumentation Skills through Bioethics Education. PLoS ONE 7(5): e36791. https://doi.org/10.1371/journal.pone.0036791

Editor: Julio Francisco Turrens, University of South Alabama, United States of America

Received: February 7, 2012; Accepted: April 13, 2012; Published: May 11, 2012

Copyright: © 2012 Chowning et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The “Collaborations to Understand Research and Ethics” (CURE) program was supported by a Science Education Partnership Award grant ( http://ncrrsepa.org ) from the National Center for Research Resources and the Division of Program Coordination, Planning, and Strategic Initiatives of the National Institutes of Health through Grant Number R25OD011138. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

While the practice of argumentation is a cornerstone of the scientific process, students at the secondary level have few opportunities to engage in it [1] . Recent research suggests that collaborative discourse and critical dialogue focused on student claims and justifications can increase student reasoning abilities and conceptual understanding, and that strategies are needed to promote such practices in secondary science classrooms [2] . In particular, students need structured opportunities to develop arguments and discuss them with their peers. In scientific argument, the data, claims and warrants (that relate claims to data) are strictly concerned with scientific data; in a socio-scientific argument, students must consider stakeholder perspectives and ethical principles and ideas, in addition to relevant scientific background. Regardless of whether the arguments that students employ point towards scientific or socio-scientific issues, the overall processes students use in order to develop justifications rely on a model that conceptualizes arguments as claims to knowledge [3] .

Prior research in informal student reasoning and socio-scientific issues also indicates that most learners are not able to formulate high-quality arguments (as defined by the ability to articulate justifications for claims and to rebut contrary positions), and highlights the challenges related to promoting argumentation skills. Research suggests that students need experience and practice justifying their claims, recognizing and addressing counter-arguments, and learning about elements that contribute to a strong justification [4] , [5] .

Proponents of Socio-scientific Issues (SSI) education stress that the intellectual development of students in ethical reasoning is necessary to promote understanding of the relationship between science and society [4] , [6] . The SSI approach emphasizes three important principles: (a) because science literacy should be a goal for all students, science education should be broad-based and geared beyond imparting relevant content knowledge to future scientists; (b) science learning should involve students in thinking about the kinds of real-world experiences that they might encounter in their lives; and (c) when teaching about real-world issues, science teachers should aim to include contextual elements that are beyond traditional science content. Sadler and Zeidler, who advocate a SSI perspective, note that “people do not live their lives according to disciplinary boundaries, and students approach socio-scientific issues with diverse perspectives that integrate science and other considerations” [7] .

Standards for science literacy emphasize not only the importance of scientific content and processes, but also the need for students to learn about science that is contextualized in real-world situations that involve personal and community decision-making [7] – [10] . The National Board for Professional Teaching Standards stresses that students need “regular exposure to the human contexts of science [and] examples of ethical dilemmas, both current and past, that surround particular scientific activities, discoveries, and technologies” [11] . Teachers are mandated by national science standards and professional teaching standards to address the social dimensions of science, and are encouraged to provide students with the tools necessary to engage in analyzing bioethical issues; yet they rarely receive training in methods to foster such discussions with students.

The Northwest Association for Biomedical Research (NWABR), a non-profit organization that advances the understanding and support of biomedical research, has been engaging students and teachers in bringing the discussion of ethical issues in science into the classroom since 2000 [12] . The mission of NWABR is to promote an understanding of biomedical research and its ethical conduct through dialogue and education. The sixty research institutions that constitute our members include academia, industry, non-profit research organizations, research hospitals, professional societies, and volunteer health organizations. NWABR connects the scientific and education communities across the Northwestern United States and helps the public understand the vital role of research in promoting better health outcomes. We have focused on providing teachers with both resources to foster student reasoning skills (such as activities in which students practice evaluating arguments using criteria for strong justifications), as well as pedagogical strategies for fostering collaborative discussion [13] – [15] . Our work draws upon socio-scientific elements of functional scientific literacy identified by Zeidler et al. [6] . We include support for teachers in discourse issues, nature of science issues, case-based issues, and cultural issues – which all contribute to cognitive and moral development and promote functional scientific literacy. Our Collaborations to Understand Research and Ethics (CURE) program, funded by a Science Education Partnership Award from the National Institutes of Health (NIH), promotes understanding of translational biomedical research as well as the ethical considerations such research raises.

Many teachers find a principles-based approach most manageable for introducing ethical considerations. The principles include respect for persons (respecting the inherent worth of an individual and his or her autonomy), beneficence/nonmaleficence (maximizing benefits/minimizing harms), and justice (distributing benefits/burdens equitably across a group of individuals). These principles, which are articulated in the Belmont Report [16] in relation to research with human participants (and which are clarified and defended by Beauchamp and Childress [17] ), represent familiar concepts and are widely used. In our professional development workshops and in our support resources, we also introduce teachers to care, feminist, virtue, deontological and consequentialist ethics. Once teachers become familiar with principles, they often augment their teaching by incorporating these additional ethical approaches.

The Bioethics 101 materials that were the focus of our study were developed in conjunction with teachers, ethicists, and scientists. The curriculum contains a series of five classroom lessons and a culminating assessment [18] and is described in more detail in the Program Description below. For many years, teachers have shared with us the dramatic impacts that the teaching of bioethics can have on their students; this research study was designed to investigate the relationship between explicit instruction in bioethical reasoning and resulting student outcomes. In this study, teacher cohorts and student pre/post tests were used to investigate whether CURE professional development and the Bioethics 101 curriculum materials made a significant difference in high school students’ abilities to analyze a case study and justify their positions. Our research strongly indicates that such reasoning approaches can be taught to high school students and can significantly improve their ability to develop well-reasoned justifications to bioethical dilemmas. In addition, student self-reports provide additional evidence of the extent to which bioethics instruction impacted their attitudes and perceptions and increased student motivation and engagement with science content.

Program Description

Our professional development program, Ethics in the Science Classroom, spanned two weeks. The first week, a residential program at the University of Washington (UW) Pack Forest Conference Center, focused on our Bioethics 101 curriculum, which is summarized in Table S1 and is freely available at http://www.nwabr.org . The curriculum, a series of five classroom lessons and a culminating assessment, was implemented by all teachers who were part of our CURE treatment group. The lessons explore the following topics: (a) characteristics of an ethical question; (b) bioethical principles; (c) the relationship between science and ethics and the roles of objectivity/subjectivity and evidence in each; (d) analysis of a case study (including identifying an ethical question, determining relevant facts, identifying stakeholders and their concerns and values, and evaluating options); and (e) development of a well-reasoned justification for a position.

Additionally, the first week focused on effective teaching methods for incorporating ethical issues into science classrooms. We shared specific pedagogical strategies for helping teachers manage classroom discussion, such as asking students to consider the concerns and values of individuals involved in the case while in small single and mixed stakeholder groups. We also provided participants with background knowledge in biomedical research and ethics. Presentations from colleagues affiliated with the NIH Clinical and Translational Science Award program, from the Department of Bioethics and Humanities at the UW, and from NWABR member institutions helped participants develop a broad appreciation for the process of biomedical research and the ethical issues that arise as a consequence of that research. Topics included clinical trials, animal models of disease, regulation of research, and ethical foundations of research. Participants also developed materials directly relevant and applicable to their own classrooms, and shared them with other educators. Teachers wrote case studies and then used ethical frameworks to analyze the main arguments surrounding the case, thereby gaining experience in bioethical analysis. Teachers also developed Action Plans to outline their plans for implementation.

The second week provided teachers with first-hand experiences in NWABR research institutions. Teachers visited research centers such as the Tumor Vaccine Group and Clinical Research Center at the UW. They also had the opportunity to visit several of the following institutions: Amgen, Benaroya Research Institute, Fred Hutchinson Cancer Research Center, Infectious Disease Research Institute, Institute for Stem Cells and Regenerative Medicine at the UW, Pacific Northwest Diabetes Research Institute, Puget Sound Blood Center, HIV Vaccine Trials Network, and Washington National Primate Research Center. Teachers found these experiences in research facilities extremely valuable in helping make concrete the concepts and processes detailed in the first week of the program.

We held two follow-up sessions during the school year to deepen our relationship with the teachers, promote a vibrant ethics in science education community, provide additional resources and support, and reflect on challenges in implementation of our materials. We also provided the opportunity for teachers to share their experiences with one another and to report on the most meaningful longer-term impacts from the program. Another feature of our CURE program was the school-year Institutional Review Board (IRB) and Institutional Animal Care and Use Committee (IACUC) follow-up sessions. Teachers chose to attend one of NWABR’s IRB or IACUC conferences, attend a meeting of a review board, or complete NIH online ethics training. Some teachers also visited the UW Embryonic Stem Cell Research Oversight Committee. CURE funding provided substitutes in order for teachers to be released during the workday. These opportunities further engaged teachers in understanding and appreciating the actual process of oversight for federally funded research.

Participants

Most of the educators who have been through our intensive summer workshops teach secondary level science, but we have welcomed teachers at the college, community college, and even elementary levels. Our participants are primarily biology teachers; however, chemistry and physical science educators, health and career specialists, and social studies teachers have also used our strategies and materials with success.

The research design used teacher cohorts for comparison purposes and recruited teachers who expressed interest in participating in a CURE workshop in either the summer of 2009 or the summer of 2010. We assumed that all teachers who applied to the CURE workshop for either year would be similarly interested in ethics topics. Thus, Cohort 1 included teachers participating in CURE during the summer of 2009 (the treatment group). Their students received CURE instruction during the following 2009–2010 academic year. Cohort 2 (the comparison group) included teachers who were selected to participate in CURE during the summer of 2010. Their students received a semester of traditional classroom instruction in science during the 2009–2010 academic year. In order to track participation of different demographic groups, questions pertaining to race, ethnicity, and gender were also included in the post-tests.

Using an online sample size calculator http://www.surveysystem.com/sscalc.htm , a 95% Confidence Level, and a Confidence Interval of 5, it was calculated that a sample size of 278 students would be needed for the research study. For that reason, six Cohort 1 teachers were impartially chosen to be in the study. For the comparison group, the study design also required six teachers from Cohort 2. The external evaluator contacted all Cohort 2 teachers to explain the research study and obtain their consent, and successfully recruited six to participate.

Ethics Statement

This study was conducted according to the principles expressed in the Declaration of Helsinki. Prior to the study, research processes and materials were reviewed and approved by the Western Institutional Review Board (WIRB Study #1103180). CURE staff and evaluators received written permission from parents to have their minor children participate in the Bioethics 101 curriculum, for the collection and subsequent analysis of students’ written responses to the assessment, and for permission to collect and analyze student interview responses. Teachers also provided written informed consent prior to study participation. All study participants and/or their legal guardians provided written informed consent for the collection and subsequent analysis of verbal and written responses.

Research Study

Analyzing a case study: cure and comparison students..

Teacher cohorts and pre/post tests were used to investigate whether CURE professional development and curriculum materials made a significant difference in high school students’ abilities to analyze a case study and justify their positions. Cohort 1 teachers (N = 6) received CURE professional development and used the Bioethics 101 curriculum with their students (N = 323); Cohort 2 teachers (N = 6) did not receive professional development until after their participation in the study and did not use the curriculum with their students (N = 108). Cohort 2 students were given the test case study and questions, but with only traditional science instruction during the semester. Each Cohort was further divided into two groups (A and B). Students in Group A were asked to complete a pre-test prior to the case study, while students in Group B did not. All four student groups completed a post-test after analysis of the case study. This four-group model ( Table 1 ) allowed us to assess: 1) the effect of CURE treatment relative to conventional education practices, 2) the effect of the pre-test relative to no pre-test, and 3) the interaction between the pre-test and CURE treatment condition. Random assignment of students to treatment and comparison groups was not possible; consequently we used existing intact classes. In all, 431 students and 12 teachers participated in the research study ( Table 2 ).

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In order to assess the acquisition of higher-order justification skills, students used the summative assessment provided in our curriculum as the pre- and post-test. We designed the curriculum to scaffold students’ ability to write a persuasive bioethical position; by the time they participated in the assessment, Cohort 1 students had opportunities to discuss the elements of a strong justification as well as practice in analyzing case studies. For our research, both Cohort 1 and 2 students were asked to analyze the case study of “Ashley X” ( Table S2 ), a young girl with a severe neurological impairment whose parents wished to limit her growth through a combination of interventions so that they could better care for her. Students were asked to respond to the ethical question: “Should one or more medical interventions be used to limit Ashley’s growth and physical maturation? If so, which interventions should be used and why?” In their answer, students were encouraged to develop a well-reasoned written position by responding to five questions that reflected elements of a strong justification. One difficulty in evaluating a multifaceted science-related learning task (analyzing a bioethical case study and justifying a position) is that a traditional multiple-choice assessment may not adequately reflect the subtlety and depth of student understanding. We used a rubric to assess student responses to each of the following questions (Q) on a scale of 1 to 4; these questions represent key elements of a strong justification for a bioethical argument:

• Q1: Student Position: What is your decision?
• Q2: Factual Support: What facts support your decision? Is there missing information that could be used to make a better decision?
• Q3: Interests and Views of Others: Who will be impacted by the decision and how will they be impacted?
• Q4: Ethical Considerations: What are the main ethical considerations?
• Q5: Evaluating Alternative Options: What are some strengths and weaknesses of alternate solutions?

In keeping with our focus on the process of reasoning rather than on having students draw any particular conclusion, we did not assess students on which position they took, but on how well they stated and justified the position they chose.

We used a rubric scoring guide to assess student learning, which aligned with the complex cognitive challenges posed by the task ( Table S3 ). Assessing complex aspects of student learning is often difficult, especially evaluating how students represent their knowledge and competence in the domain of bioethical reasoning. Using a scoring rubric helped us more authentically score dimensions of students’ learning and their depth of thinking. An outside scorer who had previously participated in CURE workshops, has secondary science teaching experience, and who has a Masters degree in Bioethics blindly scored all student pre- and post-tests. Development of the rubric was an iterative process, refined after analyzing a subset of surveys. Once finalized, we confirmed the consistency and reliability of the rubric and grading process by re-testing a subset of student surveys randomly selected from all participating classes. The Cronbach alpha reliability result was 0.80 [19] .

The rubric closely followed the framework introduced through the curricular materials and reinforced through other case study analyses. For example, under Q2, Factual Support , a student rated 4 out of 4 if their response demonstrated the following:

• The justification uses the relevant scientific reasons to support student’s answer to the ethical question.
• The student demonstrates a solid understanding of the context in which the case occurs, including a thoughtful description of important missing information.
• The student shows logical, organized thinking. Both facts supporting the decision and missing information are presented at levels exceeding standard (as described above).

An example of a student response that received the highest rating for Q2 asking for factual support is: “Her family has a history of breast cancer and fibrocystic breast disease. She is bed-bound and completely dependent on her parents. Since she is bed-bound, she has a higher risk of blood clots. She has the mentality of an infant. Her parents’ requests offer minimal side effects. With this disease, how long is she expected to live? If not very long then her parents don’t have to worry about growth. Are there alternative measures?”

In contrast, a student rated a 1 for responses that had the following characteristics:

• Factual information relevant to the case is incompletely described or is missing.
• Irrelevant information may be included and the student demonstrates some confusion.

An example of a student response that rated a 1 for Q2 is: “She is unconscious and doesn’t care what happens.”

All data were entered into SPSS (Statistical Package for the Social Sciences) and analyzed for means, standard deviations, and statistically significant differences. An Analysis of Variance (ANOVA) was used to test for significant overall differences between the two cohort groups. Pre-test and post-test composite scores were calculated for each student by adding individual scores for each item on the pre- and post-tests. The composite score on the post-test was identical in form and scoring to the composite score on the pre-test. The effect of the CURE treatment on post-test composite scores is referred to as the Main Effect, and was determined by comparing the post-test composite scores of the Cohort 1 (CURE) and Cohort 2 (Comparison) groups. In addition, Cohort 1 and Cohort 2 means scores for each test question (Questions 1–5) were compared within and between cohorts using t-tests.

CURE student perceptions of curriculum effect.

During prior program evaluations, we asked teachers to identify what they believed to be the main impacts of bioethics instruction on students. From this earlier work, we identified several themes. These themes, listed below, were further tested in our current study by asking students in the treatment group to assess themselves in these five areas after participation in the lesson, using a retrospective pre-test design to measure self-reported changes in perceptions and abilities [20] .

• Interest in the science content of class (before/after) participating in the Ethics unit.
• Ability to analyze issues related to science and society and make well-justified decisions (before/after) participating in the Ethics unit.
• Awareness of ethics and ethical issues (before/after) participating in the Ethics unit.
• Understanding of the connection between science and society (before/after) participating in the Ethics unit.
• Ability to listen to and discuss different viewpoints (before/after) participating in the Ethics unit.

After Cohort 1 (CURE) students participated in the Bioethics 101 curriculum, we asked them to indicate the extent to which they had changed in each of the theme areas we had identified using Likert-scale items on a retrospective pre-test design [21] , with 1 =  None and 5 =  A lot!. We used paired t-tests to examine self-reported changes in their perceptions and abilities. The retrospective design avoids response-shift bias that results from overestimation or underestimation of change since both before and after information is collected at the same time [20] .

Student Demographics

Demographic information is provided in Table 3 . Of those students who reported their gender, a larger number were female (N = 258) than male (N = 169), 60% and 40%, respectively, though female students represented a larger proportion of Cohort 1 than Cohort 2. Students ranged in age from 14 to 18 years old; the average age of the students in both cohorts was 15. Students were enrolled in a variety of science classes (mostly Biology or Honors Biology). Because NIH recognizes a difference between race and ethnicity, students were asked to respond to both demographic questions. Students in both cohorts were from a variety of ethnic and racial backgrounds.

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Pre- and Post-Test Results for CURE and Comparison Students

Post-test composite means for each cohort (1 and 2) and group (A and B) are shown in Table 4 . Students receiving CURE instruction earned significantly higher (p<0.001) composite mean scores than students in comparison classrooms. Cohort 1 (CURE) students (N = 323) post-test composite means were 10.73, while Cohort 2 (Comparison) students (N = 108) had post-test composite means of 9.16. The ANOVA results ( Table 5 ) showed significant differences in the ability to craft strong justifications between Cohort 1 (CURE) and Cohort 2 (Comparison) students F (1, 429) = 26.64, p<0.001.

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We also examined if the pre-test had a priming effect on the students’ scores because it provides an opportunity to practice or think about the content. The pre-test would not have this effect on the comparison group because they were not exposed to CURE teaching or materials. If the pre-test provides a practice or priming effect, this would result in higher post-test performance by CURE students receiving the pre-test than by CURE students not receiving the pre-test. For this comparison, the F (1, 321) = 0.10, p = 0.92. This result suggests that the differences between the CURE and comparison groups are attributable to the treatment condition and not a priming effect of the pre-test.

After differences in main effects were investigated, we analyzed differences between and within cohorts on individual items (Questions 1–5) using t-tests. The Mean scores of individual questions for each cohort are shown in Figure 1 . There were no significant differences between Cohort 1 (CURE) and Cohort 2 (Comparison) on pre-test scores. In fact, for Q5, the mean pre-test scores for the Cohort 2 (Comparison) group were slightly higher (1.8) than the Cohort 1 (CURE) group (1.6). On the post-test, the Cohort 1 (CURE) students significantly outscored the Cohort 2 (Comparison) students on all questions; Q1, Q3, and Q4 were significant at p<0.001, Q2 was significant at p<0.01, and Q5 was significant at p<0.05. The largest post-test difference between Cohort 1 (CURE) students and Cohort 2 (Comparison) students was for Q3, with an increase of 0.6; all the other questions showed changes of 0.3 or less. Comparing Cohort 1 (CURE) post-test performance on individual questions yields the following results: scores were highest for Q1 (mean = 2.8), followed by Q3 (mean = 2.2), Q2 (mean = 2.1), and Q5 (mean = 1.9). Lowest Cohort 1 (CURE) post-test scores were associated with Q4 (mean = 1.8).

Mean scores for individual items of the pre-test for each cohort revealed no differences between groups for any of the items (Cohort 1, CURE, N = 323; Cohort 2, Comparison, N = 108). Post-test gains of Cohort 1 (CURE) relative to Cohort 2 (Comparison) were statistically significant for all questions. (Question (Q) 1) What is your decision? (Q2) What facts support your decision? Is there missing information that could be used to make a better decision? (Q3) Who will be impacted by the decision and how will they be impacted? (Q4) What are the main ethical considerations? and (Q5)What are some strengths and weaknesses of alternate solutions? Specifically: (Q1), (Q3), (Q4) were significant at p<0.001 (***); (Q2) was significant at p<0.01 (**); and (Q5) was significant at p<0.05 (*). Lines represent standard deviations.

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Overall, across all four groups, mean scores for Q1 were highest (2.6), while scores for Q4 were lowest (1.6). When comparing within-Cohort scores on the pre-test versus post-test, Cohort 2 (Comparison Group) showed little to no change, while CURE students improved on all test questions.

CURE Student Perceptions of Curriculum Effect

After using our resources, Cohort 1 (CURE) students showed highly significant gains (p<0.001) in all areas examined: interest in science content, ability to analyze socio-scientific issues and make well-justified decisions, awareness of ethical issues, understanding of the connection between science and society, and the ability to listen to and discuss viewpoints different from their own ( Figure 2 ). Overall, students gave the highest score to their ability to listen to and discuss viewpoints different than their own after participating in the CURE unit (mean = 4.2). Also highly rated were the changes in understanding of the connection between science and society (mean = 4.1) and the awareness of ethical issues (mean = 4.1); these two perceptions also showed the largest change pre-post (from 2.8 to 4.1 and 2.7 to 4.1, respectively).

Mean scores for individual items of the retrospective items on the post-test for Cohort 1 students revealed significant gains (p<0.001) in all self-reported items: Interest in science (N = 308), ability to Analyze issues related to science and society and make well-justified decisions (N = 306), Awareness of ethics and ethical issues (N = 309), Understanding of the connection between science and society (N = 308), and the ability to Listen and discuss different viewpoints (N = 308). Lines represent standard deviations.

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NWABR’s teaching materials provide support both for general ethics and bioethics education, as well as for specific topics such as embryonic stem cell research. These resources were developed to provide teachers with classroom strategies, ethics background, and decision-making frameworks. Teachers are then prepared to share their understanding with their students, and to support their students in using analysis tools and participating in effective classroom discussions. Our current research grew out of a desire to measure the effectiveness of our professional development and teaching resources in fostering student ability to analyze a complex bioethical case study and to justify their positions.

Consistent with the findings of SSI researchers and our own prior anecdotal observations of teacher classrooms and student work, we found that students improve in their analytical skill when provided with reasoning frameworks and background in concepts such as beneficence, respect, and justice. Our research demonstrates that structured reasoning approaches can be effectively taught at the secondary level and that they can improve student thinking skills. After teachers participated in a two-week professional development workshop and utilized our Bioethics 101 curriculum, within a relatively short time period (five lessons spanning approximately one to two weeks), students grew significantly in their ability to analyze a complex case and justify their position compared to students not exposed to the program. Often, biology texts present a controversial issue and ask students to “justify their position,” but teachers have shared with us that students frequently do not understand what makes a position or argument well-justified. By providing students with opportunities to evaluate sample justifications, and by explicitly introducing a set of elements that students should include in their justifications, we have facilitated the development of this important cognitive skill.

The first part of our research examined the impact of CURE instruction on students’ ability to analyze a case study. Although students grew significantly in all areas, the highest scores for the Cohort 1 (CURE) students were found in response to Q1 of the case analysis, which asked them to clearly state their own position, and represented a relatively easy cognitive task. This question also received the highest score in the comparison group. Not surprisingly, students struggled most with Q4 and Q5, which asked for the ethical considerations and the strengths and weaknesses of different solutions, respectively, and which tested specialized knowledge and sophisticated analytical skills. The area in which we saw the most growth in Cohort 1 (CURE) (both in comparison to the pre-test and in relation to the comparison group) was in students’ ability to identify stakeholders in a case and state how they might be impacted by a decision (Q3). Teachers have shared with us that secondary students are often focused on their own needs and perspectives; stepping into the perspectives of others helps enlarge their understanding of the many views that can be brought to bear upon a socio-scientific issue.

Many of our teachers go far beyond these introductory lessons, revisiting key concepts throughout the year as new topics are presented in the media or as new curricular connections arise. Although we have observed this phenomenon for many years, it has been difficult to evaluate these types of interventions, as so many teachers implement the concepts and ideas differently in response to their unique needs. Some teachers have used the Bioethics 101 curriculum as a means for setting the tone and norms for the entire year in their classes and fostering an atmosphere of respectful discussion. These teachers note that the “opportunity cost” of investing time in teaching basic bioethical concepts, decision-making strategies, and justification frameworks pays off over the long run. Students’ understanding of many different science topics is enhanced by their ability to analyze issues related to science and society and make well-justified decisions. Throughout their courses, teachers are able to refer back to the core ideas introduced in Bioethics 101, reinforcing the wide utility of the curriculum.

The second part of our research focused on changes in students’ self-reported attitudes and perceptions as a result of CURE instruction. Obtaining accurate and meaningful data to assess student self-reported perceptions can be difficult, especially when a program is distributed across multiple schools. The traditional use of the pretest-posttest design assumes that students are using the same internal standard to judge attitudes or perceptions. Considerable empirical evidence suggests that program effects based on pre-posttest self-reports are masked because people either overestimate or underestimate their pre-program perceptions [20] , [22] – [26] . Moore and Tananis [27] report that response shift can occur in educational programs, especially when they are designed to increase students’ awareness of a specific construct that is being measured. The retrospective pre-test design (RPT), which was used in this study, has gained increasing prominence as a convenient and valid method for measuring self-reported change. RPT has been shown to reduce response shift bias, providing more accurate assessment of actual effect. The retrospective design avoids response-shift bias that results from overestimation or underestimation of change since both before and after information is collected at the same time [20] . It is also convenient to implement, provides comparison data, and may be more appropriate in some situations [26] . Using student self-reported measures concerning perceptions and attitudes is also a meta-cognitive strategy that allows students to think about their learning and justify where they believe they are at the end of a project or curriculum compared to where they were at the beginning.

Our approach resulted in a significant increase in students’ own perceived growth in several areas related to awareness, understanding, and interest in science. Our finding that student interest in science can be significantly increased through a case-study based bioethics curriculum has implications for instruction. Incorporating ethical dilemmas into the classroom is one strategy for increasing student motivation and engagement with science content. Students noted the greatest changes in their own awareness of ethical issues and in understanding the connection between science and society. Students gave the highest overall rating to their ability to listen to and discuss viewpoints different from their own after participation in the bioethics unit. This finding also has implications for our future citizenry; in an increasingly diverse and globalized society, students need to be able to engage in civil and rational dialogue with others who may not share their views.

Conducting research studies about ethical learning in secondary schools is challenging; recruiting teachers for Cohort 2 and obtaining consent from students, parents, and teachers for participation was particularly difficult, and many teachers faced restraints from district regulations about curriculum content. Additional studies are needed to clarify the extent to which our curricular materials alone, without accompanying teacher professional development, can improve student reasoning skills.

Teacher pre-service training programs rarely incorporate discussion of how to address ethical issues in science with prospective educators. Likewise, with some noticeable exceptions, such as the work of the University of Pennsylvania High School Bioethics Project, the Genetic Science Learning Center at the University of Utah, and the Kennedy Institute of Ethics at Georgetown University, relatively few resources exist for high school curricular materials in this area. Teachers have shared with us that they know that such issues are important and engaging for students, but they do not have the experience in either ethical theory or in managing classroom discussion to feel comfortable teaching bioethics topics. After participating in our workshops or using our teaching materials, teachers shared that they are better prepared to address such issues with their students, and that students are more engaged in science topics and are better able to see the real-world context of what they are learning.

Preparing students for a future in which they have access to personalized genetic information, or need to vote on proposals for stem cell research funding, necessitates providing them with the tools required to reason through a complex decision containing both scientific and ethical components. Students begin to realize that, although there may not be an absolute “right” or “wrong” decision to be made on an ethical issue, neither is ethics purely relative (“my opinion versus yours”). They come to realize that all arguments are not equal; there are stronger and weaker justifications for positions. Strong justifications are built upon accurate scientific information and solid analysis of ethical and contextual considerations. An informed citizenry that can engage in reasoned dialogue about the role science should play in society is critical to ensure the continued vitality of the scientific enterprise.

“I now bring up ethical issues regularly with my students, and use them to help students see how the concepts they are learning apply to their lives…I am seeing positive results from my students, who are more clearly able to see how abstract science concepts apply to them.” – CURE Teacher “In ethics, I’ve learned to start thinking about the bigger picture. Before, I based my decisions on how they would affect me. Also, I made decisions depending on my personal opinions, sometimes ignoring the facts and just going with what I thought was best. Now, I know that to make an important choice, you have to consider the other people involved, not just yourself, and take all information and facts into account.” – CURE Student

Supporting Information

Bioethics 101 Lesson Overview.

https://doi.org/10.1371/journal.pone.0036791.s001

Case Study for Assessment.

https://doi.org/10.1371/journal.pone.0036791.s002

Grading Rubric for Pre- and Post-Test: Ashley’s Case.

https://doi.org/10.1371/journal.pone.0036791.s003

Acknowledgments

We thank Susan Adler, Jennifer M. Pang, Ph.D., Leena Pranikay, and Reitha Weeks, Ph.D., for their review of the manuscript, and Nichole Beddes for her assistance scoring student work. We also thank Carolyn Cohen of Cohen Research and Evaluation, former CURE Evaluation Consultant, who laid some of the groundwork for this study through her prior work with us. We also wish to thank the reviewers of our manuscript for their thoughtful feedback and suggestions.

Author Contributions

Conceived and designed the experiments: JTC LJC. Performed the experiments: LJC. Analyzed the data: LJC JTC DNK. Contributed reagents/materials/analysis tools: JCG. Wrote the paper: JTC LJC DNK JCG. Served as Principal Investigator on the CURE project: JTC. Provided overall program leadership: JTC. Led the curriculum and professional development efforts: JTC JCG. Raised funds for the CURE program: JTC.

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Developing Students’ Critical Thinking Skills and Argumentation Abilities Through Augmented Reality–Based Argumentation Activities in Science Classes

Tuba demircioglu.

1 Faculty of Education, Department of Mathematics and Science Education/Elementary Science Education, Cukurova University, 01330 Saricam-Adana, Turkey

Memet Karakus

2 Department of Educational Sciences, Cukurova University, Adana, Turkey

Due to the COVID-19 pandemic and adapting the classes urgently to distance learning, directing students’ interest in the course content became challenging. The solution to this challenge emerges through creative pedagogies that integrate the instructional methods with new technologies like augmented reality (AR). Although the use of AR in science education is increasing, the integration of AR into science classes is still naive. The lack of the ability to identify misinformation in the COVID-19 pandemic process has revealed the importance of developing students’ critical thinking skills and argumentation abilities. The purpose of this study was to examine the change in critical thinking skills and argumentation abilities through augmented reality–based argumentation activities in teaching astronomy content. The participants were 79 seventh grade students from a private school. In this case study, the examination of the verbal arguments of students showed that all groups engaged in the argumentation and produced quality arguments. The critical thinking skills of the students developed until the middle of the intervention, and the frequency of using critical thinking skills varied after the middle of the intervention. The findings highlight the role of AR-based argumentation activities in students’ critical thinking skills and argumentation in science education.

Introduction

With rapidly developing technology, the number of children using mobile handheld devices has increased drastically (Rideout et al., 2010 ; Squire, 2006 ). Technologies and digital enhancements that use the internet have become a part of the daily life of school-age children (Kennedy et al., 2008 ), and education evolves in line with the changing technology. Rapidly changing innovation technologies have changed the characteristics of learners in the fields of knowledge, skills, and expertise that are valuable for society, and circumstances for teachers and students have changed over time (Yuen et al., 2011 ). Almost every school subject incorporates technological devices into the pedagogy to different extents, but science teachers are the most eager to use technological devices in science classes because of the nature of the content they are expected to teach.

The COVID-19 pandemic has had an important impact on educational systems worldwide. Due to the fast-spreading of that disease, the educators had to adapt their classes urgently to technology and distance learning (Dietrich et al., 2020 ), and schools have had to put more effort into adapting new technologies to teaching. Z generation was born into a time of information technology, but they did not choose distance courses that were not created for them so they are not motivated during the classes (Dietrich et al., 2020 ). Directing students’ interest in the course content is challenging, while their interest has changed by this technological development. The solution to this challenge emerges through creative pedagogies that integrate the instructional methods with new striking technology. Augmented reality has demonstrated high potential as part of many teaching methods.

Literature Review

Augmented reality, education, and science education.

AR applications have important potential for many areas where rapid transfer of information is important. This is especially effective for education. Science education is among the disciplines where rapid information transfer is important. Taylor ( 1987 , p. 1) stated that “the transfer of scientific and technological information to children and to the general public is as important as the search for information.” With the rapid change in science and technology and outdating of knowledge, learning needs rapid changes in transfer of information (Ploman, 1987 ). Technology provides new and innovative methods for science education and could be an effective media in promoting students’ learning (Virata & Castro, 2019 ). AR technology could be a promising teaching tool for science teaching in which AR technology is especially applicable (Arici et al., 2019 ).

Research shows that AR has great potential and benefits for learning and teaching (Yuen et al., 2011 ). The AR applications used in teaching and learning present many objects, practices, and experiments that students cannot obtain from the first-hand experience into many different dimensions because of the impossibilities in the real world, and it is an approach that can be applied to many science contents that are unreachable, unobtrusive, and unable to travel (Cai et al., 2013 ; Huang et al., 2019 ; Pellas et al., 2019 ). For example, physically unreachable phenomena such as solar systems, moon phases, and magnetic fields become accessible for learners through AR (Fleck & Simon, 2013 ; Kerawalla et al., 2006 ; Shelton & Hedley, 2002 ; Sin & Zaman, 2010 ; Yen et al., 2013 ). Through AR, learners can obtain instant access to location-specific information provided by a wide range of sources (Yuen et al., 2011 ). Location-based information, when used in particular contextual learning activities, is essential for assisting students’ outdoor learning. This interaction develops comprehension, understanding, imagination, and retention, which are the learning and cognitive skills of learners (Chiang et al., 2014 ). For example, an AR-based mobile learning system was used in the study conducted by Chiang et al. ( 2014 ) on aquatic animals and plants. The location module can identify the students’ GPS location, direct them to discover the target ecological regions, and provide the appropriate learning tasks or additional resources. When students explore various characteristics of learning objects, the camera and image editing modules can take the image from the real environment and make comment on the image of the observed things.

Research reveals that the use of AR technology as part of teaching a subject has the features of being constructivist, problem solving-based, student-centered, authentic, participative, creative, personalized, meaningful, challenging, collaborative, interactive, entertaining, cognitively rich, contextual, and motivational (Dunleavy et al., 2009 ). Despite its advantages and although the use of AR in science education is increasing, the integration of AR into science classes is still naive, and teachers still do not consider themselves as ready for use of AR in their class (Oleksiuk & Oleksiuk, 2020 ; Romano et al., 2020 ) and choose not to use AR technology (Alalwan et al., 2020 ; Garzón et al., 2019 ), because most of them do not have the abilities and motivation to design AR learning practices (Garzón et al., 2019 ; Romano et al., 2020 ). It is thought that the current study will contribute to the use of AR in science lessons and how science teachers will include AR technology in their lessons.

Argumentation, Critical Thinking, and Augmented Reality

New trends in information technologies have contributed to the development of new skills in which people have to struggle with a range of information and evaluate this information. An important point of these skills is the ability to argue with evidence (Jiménez -Aleixandre & Erduran, 2007 ) in which young people create appropriate results from the information and evidence given to them to criticize the claims of others in the direction of the evidence and to distinguish an idea from evidence-based situations (OECD, 2003 , p. 132).

Learning with technologies could produce information and misinformation simultaneously (Chai et al., 2015 ). Misinformation has spread very quickly in public in COVID-19 pandemic, so the lack of the ability to interpret and evaluate the validity and credibility of them arose again (Saribas & Çetinkaya, 2021 ). This process revealed the importance of developing students’ critical thinking skills and argumentation abilities (Erduran, 2020 ) to make decisions and adequate judgments when they encountered contradicting information (Chai et al., 2015 ).

Thinking about different subjects, evaluating the validity of scientific claims, and interpreting and evaluating evidence are important elements of science courses and play important roles in the construction of scientific knowledge (Driver et al., 2000 ). The use of scientific knowledge in everyday life ensures that critical thinking skills come to the forefront. Ennis ( 2011 , p. 1) defined critical thinking as “Critical thinking is reasonable and reflective thinking focused on deciding what to believe”. Jiménez-Aleixandre and Puig ( 2012 ) found this definition very broad, and they proposed a comprehensive definition of critical thinking that combines the components of social emancipation and evidence evaluation. It contains the competence to form autonomous ideas as well as the ability to participate in and reflect on the world around us. Figure  1 summarizes this comprehensive definition.

Argumentation levels by groups

Critical thinking skills that include the ability to evaluate arguments and counterarguments in a variety of contexts are very important, and effective argumentation is the focal point of criticism and the informed decision (Nussbaum, 2008 ). Argumentation is defined as the process of making claims about a scientific subject, supporting them with data, using warrants, and criticizing, refuting, and evaluating an idea (Toulmin, 1990 ). Argumentation as an instructional method is an important research area in science education and has received enduring interest from science educators for more than a decade (Erduran et al., 2015 ). Researchers concluded that learners mostly made only claims in the argumentation process and had difficulty producing well-justified and high-quality arguments (Demircioglu & Ucar, 2014 ; Demircioglu & Ucar, 2015 ; Cavagnetto et al., 2010 ; Erdogan et al., 2017 ; Erduran et al., 2004 ; Novak & Treagust, 2017 ). To improve the quality of arguments, students should be given supportive elements to produce more consistent arguments during argumentation. One of these supportive elements is the visual representations of the phenomena.

Visual representations could make it easier to see the structure of the arguments of learners (Akpınar et al., 2014 ) and improve students’ awareness. For example, the number of words and comments used by students or meaningful links in conversations increases with visually enriched arguments (Erkens & Janssen, 2006 ). Sandoval & Millwood ( 2005 ) stated that students should be able to evaluate different kinds of evidence such as digital data and graphic photography to defend their claims. Appropriate data can directly support a claim and allow an argument to be accepted or rejected by students (Lin & Mintzes, 2010 ). Enriched visual representations provide students with detailed and meaningful information about the subject (Clark et al., 2007 ). Students collect evidence for argumentation by observing enriched representations (Clark et al., 2007 ), and these representations help to construct higher-quality arguments (Buckingham Shum et al., 1997 ; Jermann & Dillenbourg, 2003 ). Visualization techniques enable students to observe how objects behave and interact and provide an easy-to-understand presentation of scientific facts that are difficult to understand with textual or oral explanations (Cadmus, 1990 ). In short, technological opportunities to create visually enriched representations increase students’ access to rich data to support their arguments.

Among the many technological opportunities to promote argumentation, AR seems to be the most promising application for instructing school subjects. AR applications are concerned with the combination of computer-generated data (virtual reality) and the real world, where computer graphics are projected onto real-time video images (Dias, 2009 ). In addition, augmented reality provides users with the ability to see a real-world environment enriched with 3D images and to interact in real time by combining virtual objects with the real environment in 3D and showing the spatial relations (Kerawalla et al., 2006 ). AR applications are thus important tools for students’ arguments with the help of detailed and meaningful information and enriched representations. Research studies using AR technology revealed that all students in the study engaged in argumentation and produced arguments (Jan, 2009 ; Squire & Jan, 2007 ).

Many studies focusing on using AR in science education have been published in recent decades. Research studies related to AR in science education have focused on the use of game-based AR in science education (Atwood-Blaine & Huffman, 2017 ; Bressler & Bodzin, 2013 ; Dunleavy et al., 2009 ; López-Faican & Jaen, 2020 ; Squire, 2006 ), academic achievement (Hsiao et al., 2016 ; Faridi et al., 2020 ; Hwang et al., 2016 ; Lu et al., 2020 ; Sahin & Yilmaz, 2020 ;, Yildirim & Seckin-Kapucu, 2020 ), understanding science content and its conceptual understanding (Cai et al., 2021 ; Chang et al., 2013 ; Chen & Liu, 2020 ; Ibáñez et al., 2014 ), attitude (Sahin & Yilmaz, 2020 0; Hwang et al., 2016 ), self-efficacy (Cai et al., 2021 ), motivation (Bressler & Bodzin, 2013 ; Chen & Liu, 2020 ; Kirikkaya & Başgül, 2019 ; Lu et al., 2020 ; Zhang et al., 2014 ), and critical thinking skills (Faridi et al., 2020 ; Syawaludin et al., 2019 ). The general trend in these research studies based on the content of “learning/academic achievement,” “understanding science content and its conceptual understanding,” “motivation,” “attitude,” and methodologically quantitative studies was mostly used in articles in science education. Therefore, qualitative and quantitative data to be obtained from studies investigating the use of augmented reality technology in education and focusing on cognitive issues, interaction, and collaborative activities are needed (Arici et al., 2019 ; Cheng & Tsai, 2013 ).

Instructional strategies using AR technology ensure interactions between students and additionally between students and teachers (Hanid et al., 2020 ). Both the technological features of AR and learning strategies should be regarded by the teachers, the curriculum, and AR technology developers to acquire the complete advantage of AR in student learning (Garzón & Acevedo, 2019 ; Garzón et al., 2020 ). Researchers investigated the learning outcomes with AR-integrated learning strategies such as collaborative learning (Baran et al., 2020 ; Chen & Liu, 2020 ; Ke & Carafano, 2016 ), socioscientific reasoning (Chang et al., 2020 ), student-centered hands-on learning activities (Chen & Liu, 2020 ), inquiry-based learning (Radu & Schneider, 2019 ), concept-map learning system (Chen et al., 2019 ), problem-based learning (Fidan & Tuncel, 2019 ), and argumentation (Jan, 2009 ; Squire & Jan, 2007 ) in science learning.

The only two existing studies using both AR and argumentation (Jan, 2009 ; Squire & Jan, 2007 ) focus on environmental education and use location-based augmented reality games through mobile devices to engage students in scientific argumentation. Studies combining AR and argumentation in astronomy education have not been found in the literature. In the current study, AR was integrated with argumentation in teaching astronomy content.

Studies have revealed that many topics in astronomy are very difficult to learn and that students have incorrect and naive concepts (Yu & Sahami, 2007 ). Many topics include three-dimensional (3D) spatial relationships between astronomical objects (Aktamış & Arıcı, 2013 ; Yu & Sahami, 2007 ). However, most of the traditional teaching materials used in astronomy education are two-dimensional (Aktamış & Arıcı, 2013 ). Teaching astronomy through photographs and 2D animations is not sufficient to understand the difficult and complex concepts of astronomy (Chen et al., 2007 ). Static visualization tools such as texts, photographs, and 3D models do not change over time and do not have continuous movement, while dynamic visualization tools such as videos or animations show continuous movement and change over time (Schnotz & Lowe, 2008 ). However, animation is the presentation of images on a computer screen (Rieber & Kini, 1991 ), not in the real world, and the users do not have a chance to manipulate the images (Setozaki et al., 2017 ). As a solution to this shortcoming, using 3D technology in science classes, especially AR technology for abstract concepts, has become a necessity (Sahin & Yilmaz, 2020 ). By facilitating interaction with real and virtual environment and supporting object manipulation, AR is possible to enhance educational benefits (Billinghurst, 2002 ). The students are not passive participants while using AR technology. For example, the animated 3D sun and Earth models are moved on a handheld platform that adjusts its orientation in accordance with the student’s point of view in Shelton’s study ( 2002 ). They found that the ability of students to manage “how” and “when” they are allowed to manipulate virtual 3D objects has a direct impact on learning complex spatial phenomena. Experimental results show that compared with traditional video teaching, AR multimedia video teaching method significantly improves students’ learning (Chen et al., 2022 ).

This study, which integrates argumentation with new striking technology “AR” in astronomy education, clarifies the relationship between them and examines variables such as critical thinking skills and argumentation abilities that are essential in the era we live, making this research important.

Research Questions

The purpose of this study was to identify the change in critical thinking skills and argumentation abilities through augmented reality–based argumentation activities in teaching astronomy content. The following research questions guided this study:

• RQ1: How do the critical thinking skills of students who participated in both augmented reality and argumentation activities on astronomy change during the study?
• RQ2: How do the argumentation abilities of students who participated in both augmented reality and argumentation activities on astronomy change during the study?

In this case study, we investigated the change of critical thinking skills and argumentation abilities of middle school students. Before the main intervention, a pilot study was conducted to observe the effectiveness of the prepared lesson plans in practice and to identify the problems in the implementation process. The pilot study was recorded with a camera. The camera recordings were watched by the researcher, and the difficulties in the implementation process were identified. In the main intervention, preventions were taken to overcome these difficulties. Table ​ Table1 1 illustrates that the problems encountered during the pilot study and the preventions taken to eliminate these problems.

The solutions to the problems in the pilot study

During the main intervention, qualitative data were collected through observations and audio recordings to determine the change in the critical thinking skills and argumentation abilities of students who participated in both augmented reality and argumentation activities on astronomy.

Context and Participants

The participants consisted of 79 7th middle school students aged between 12 and 13 from a private school in Southern Turkey. The participants were determined as students in a private school where tablet computers are available for each student and the school willing to participate in the study. Twenty-six students, including 17 females and 9 males, participated in the study. The students’ parents signed the consent forms (whether participating or refusing participation in the study). The researcher informed them about the purpose of the study, instructional process, and ethical principles that directed the study. The teachers and school principals were informed that the preliminary and detailed conclusions of the study will be shared with them. The first researcher conducted the lessons in all groups because when the study was conducted, the use of augmented reality technology in education was very new. Also, the science teachers had inadequate knowledge and experience about augmented reality applications. Before the study, the researcher attended the classes with the teacher and made observations to help students become accustomed to the presence of the researcher in the classroom. This prolonged engagement increased the reliability of the implementation of instructions and data collection (Guba & Lincoln, 1989 ).

Instructional Activities

The 3-week, 19-h intervention process, which was based on the prepared lesson plan, was conducted. The students participated in the learning process that included both augmented reality and argumentation activities about astronomy.

Augmented Reality Activities

Free applications such as Star Chart, Sky View Free, Aurasma, Junaio, Augment, and i Solar System were used with students’ tablet computers in augmented reality instructions. Tablet computers were provided by the school administration from their stock. Videos, simulations, and 3D visuals generated by applications were used as “overlays.” In addition, pictures, photographs, colored areas in the worksheets, and students’ textbooks were used as “trigger images.” Students had the opportunity to interact with and manipulate these videos, simulations, and 3D visuals while using the applications. With applications such as Sky View Free and Star Chart, students were provided with the resources to make sky observations.

A detailed description of the activities used in augmented reality is given in Appendix Table ​ Table8 8 .

The activities performed with augmented reality technology

Argumentation Activities

Before the instruction, the students were divided into six groups by the teacher, paying attention to heterogeneity in terms of gender and academic achievement. After small group discussions, the students participated in whole-class discussions. Competing theories cartoons, tables of statements, constructing an argument, and argument-driven inquiry (ADI) frameworks were used to support argumentation in the learning process. Argument-driven inquiry consists of eight steps including the following: identification of the task, the generation and analysis of data, the production of a tentative argument, an argumentation session, an investigation report, a double-blind peer review, revision of the report, and explicit and reflective discussion (Sampson & Gleim, 2009 ; Sampson et al., 2011 ).

A detailed description of the activities used in argumentation is given in Appendix Table ​ Table9 9 .

Activities performed with argumentation

Data Collection

The data were collected through unstructured and participant observations (Maykut & Morehouse, 1994 ; Patton, 2002 ). The instructional intervention was recorded with a video camera, and the students’ argumentation processes were also recorded with a voice recorder.

Since all students spoke at the same time during group discussions, the observation records were insufficient to understand the student talks. To determine what each student in the group said during the argumentation process, a voice recorder was placed in the middle of the group table, and a voice recording was taken throughout the lesson. A total of 2653.99 min of voice recordings were taken in the six groups.

Data Analysis

The analysis of the data was conducted with inductive and deductive approaches. Before coding, the data were arranged. The critical thinking data were organized by day. The argumentation skills were organized by day and also on the basis of the groups. After generating codes during the inductive analysis of the development of critical thinking skills, a deductive approach was adopted (Patton, 2002 ). The critical thinking skills dimensions discussed by Ennis ( 2011 ) and Ennis ( 1991 ) were used to determine the relationship between codes. Ennis ( 2011 ) prepared an outline to distinguish critical thinking dispositions and skills by synthesizing of many years of studies. These critical skills that contain abilities that ideal critical thinkers have were used to generate codes from students’ talks. This skills and abilities were given in Appendix Table ​ Table10. 10 . Then “clarification skills, decision making-supporting skills, inference skills, advanced clarification skills, and other/strategy and techniques skills” discussed by Ennis ( 1991 ) and Ennis ( 2011 ) were used to determine the categories. The change in the argumentation abilities of the students was analyzed descriptively based on the Toulmin argument model (Toulmin, 1990 ) using the data obtained from the students’ voice recordings. The argument structures of each group during verbal argumentation were determined by dividing them into components according to the Toulmin model (Toulmin, 1990 ). The first three items (data, claim, and warrant) in the Toulmin model form the basis of an argument, and the other three items (rebuttal, backing, and qualifier) are subsidiary elements of the argument (Toulmin, 1990 ).

The critical thinking skills and abilities (Ennis, 2011 , pp. 2–4)

Some quotations regarding the analysis of the arguments according to the items are given in Appendix Table ​ Table11 11 .

Quotations regarding the analysis of the arguments according to the items

Arguments from the whole group were put into stages based on the argumentation-level model developed by Erduran et al. ( 2004 ) to examine the changes in each lesson and to make comparisons between the small groups of students. By considering the argument model developed by Toulmin, Erduran et al. ( 2004 ) created a five-level framework for the assessment of the quality of argumentation supposing that the quality of the arguments including rebuttals was high. The framework is given in Table ​ Table2 2 .

The framework for the assessment of the quality of argumentation (Erduran et al., 2004 ; pp. 928)

Validity and Reliability

To confirm the accuracy and validity of the analysis, method triangulation, triangulation of data sources, and analyst triangulation were used (Patton, 2002 ).

For analyst triangulation, the qualitative findings were also analyzed independently by a researcher studying in the field of critical thinking and argumentation, and then these evaluations made by the researchers were compared.

Video and audio recordings of intervention and documents from the activities were used for the triangulation of data sources. In addition, the data were described in detail without interpretation. Additionally, within the reliability and validity efforts, direct quotations were given in the findings. In this sense, for students, codes such as S1, S2, and S3 were used, and the source of data, group number, and relevant date of the conversation were included at the end of the quotations.

In addition, experts studying in the field of critical thinking and argumentation were asked to verify all data and findings. After the process of reflection and discussion with experts, the codes, subcategories, and categories were revised.

For reliability, some of the data randomly selected from the written transcripts of the students’ audio recordings were also coded by a second encoder, and the interrater agreement between the two coders, determined by Cohen’s kappa (Cohen, 1960 ), was κ = 0.86, which is considered high reliability.

Development of Critical Thinking Ability

The development of critical thinking skills was given separately for the trend drastically changed on the day when the first skills were used by the students. All six dimensions of critical thinking skills were included in students’ dialogs or when there was a decrease in the number of categories of critical thinking skills.

The codes, subcategories, and categories of critical thinking skills that occurred on the first day (dated 11.05) are given in Table ​ Table3 3 .

The codes, subcategories, and categories of critical thinking skills that occurred on the first day

Clarification skills, inference skills, other/strategy and technical skills, advanced clarification skills, and decision-making/supporting skills occurred on the first day. The students mostly used decision-making/supporting skills ( f  = 55). Under the decision-making/supporting skills category, students mostly explained observation data ( f  = 37). S7, S1, and S20 stated the data they presented about their observations with the Star Chart and Sky View applications as follows:

S7: Venus is such a yellowish reddish colour.

S1: What was the colour? Red and big. The moon’s color is white.

S20: Not white here.

S20: It’s not white here. (Audio Recordings (AuR), Group 2 / 11.05).

Additionally, S19 mentioned the observation data with the words “I searched Saturn. It is bright. It does not vibrate. It is yellow and it’s large.” (AuR, Group 2 / 11.05).

Decision-making/supporting skills were followed by inference ( f  = 17), clarification ( f  = 13), advanced clarification ( f  = 5), and skills and other/strategy technical skills ( f  = 1).

In Table ​ Table4, 4 , the categories, subcategories, and codes for critical thinking skills that occurred on the fifth day (dated 18.05) are presented.

The categories, subcategories, and codes for critical thinking skills that occurred on the fifth day

It was observed for the first time on the fifth day that all six dimensions of critical thinking skills were included in students’ dialogs. These are, according to the frequency of use, inference ( f  = 152), decision-making/support ( f  = 116), clarification ( f  = 43), advanced clarification ( f  = 8), other/strategy and technique ( f  = 3), and suppositional thinking and integrational ( f  = 2) skills.

On this date, judging the credibility of the source from decision-making/supporting skills ( f  = 1) was the skill used for the first time.

Unlike other days, for the first time, a student tried to prove his thoughts with an analogy in advanced clarification skills. An exemplary dialogue to this finding is as follows:

S19: Even the Moon remains constant, we will see different faces of the moon because the Earth revolves around its axis.

S6: I also say that it turns at the same speed. So, for example, when this house turns like this while we return in the same way, we always see the same face. (AuR, 18.05, Group 2).

Here, S6 tried to explain to his friend that they always see the same face of the moon by comparing how they see the same face of the house.

In Table ​ Table5, 5 , the categories, subcategories, and codes for critical thinking skills that occurred on the sixth day (dated 21.05) are included.

The categories, subcategories, and codes for critical thinking skills that occurred on the sixth day

There is a decrease in the number of categories of critical thinking skills. It was determined that the students used mostly inference skills in three categories ( f  = 38). Additionally, students used decision-making/support ( f  = 34) and clarification ( f  = 9) skills. In inference skills, it is seen that students often make claims ( f  = 33) and rarely infer from the available data ( f  = 4).

Among the decision-making/support skills, students mostly used the skill to give reasons ( f  = 28). S24 accepted herself as Uranus during the activity, and she gave reason to make Saturn as an enemy like that: “No, Saturn would be my enemy too. Its ring is more distinctive, it can be seen from the Earth, its ring is more beautiful than me.” (AuR, 21.05, Group 3/).

The categories, subcategories, and codes for critical thinking skills that occurred on the ninth day (dated 28.05) are presented in Table ​ Table6 6 .

The categories, subcategories, and codes for critical thinking skills that occurred on the ninth day

In the course of the day dated 28.05, six categories of critical thinking skills were observed: clarification, inference, other/strategy and technique, advanced clarification, decision-making/support, suppositional thinking and integration skills. Furthermore, the subcategories under these categories are also very diverse.

There are 10 subcategories under clarification skills ( f  = 57), which are the most commonly used skills. The frequency of using these skills is as follows: asking his friend about his opinion ( f  = 15), asking questions to clarify the situation ( f  = 12), explaining his statement ( f  = 10), summarizing the solutions of other groups ( f  = 7), asking for a detailed explanation ( f  = 4), summarizing the idea ( f  = 3), explaining the solution proposal ( f  = 2), asking for a reason ( f  = 2), focusing on the question ( f  = 1), and asking what the tools used in experiment do ( f  = 1) skills. Explaining the solution proposal, asking what the tools used in the experiment do, and focusing on the question are the first skills used by the students.

When the qualitative findings regarding the critical thinking skills of the students were examined as a whole, it was determined that there was an improvement in the students’ critical thinking skills dimensions in the lessons held in the first 5 days (between 11.05 and 18.05). There was a decrease in the number of critical thinking skills dimensions in the middle of the intervention (21.05). However, after this date, there was an increase again in the number of critical thinking skills dimensions; and on the last day of the intervention, all the critical thinking skills dimensions were used by the students. In addition, it was determined that the skills found under these dimensions showed great variety at this date. Only in the middle (18.05) and on the last day (28.05) of the intervention did students use the skills in the six dimensions of critical thinking.

It was determined that students used mostly decision-making/support, inference, and clarification skills. According to the days, it was determined that the students mostly used inference skills (12.05, 15.05, 18.05, and 21.05) among these skills.

The Argumentation Abilities of the Students

Argument structures in students’ verbal argumentation activities.

Instead of the argument structures of all groups, only an example of one group is presented because of including both basic and subsidiary items in the Toulmin argument model. In Table ​ Table7, 7 , the argument structures in the verbal argumentation activities of the fourth group of students are presented due to the use of the “rebuttal” item.

The argument structures in the verbal argumentation activities of the fourth group of students

When the argument structures in the verbal argumentation process of the six groups were examined, it was found that all groups engaged in the argumentation and produced arguments. In the activities, students mostly made claims. This was followed by data and warrant items. In the “the phases of the moon” activity, it was determined that only the second and fourth groups used rebuttal and the other groups did not.

The number of rebuttals used by the groups is lower in “the planets-table of statements” activity than in other activities. The rebuttals used are also weak. The use of rebuttals differs in the “who is right?” and “urgent solution to space pollution” activities. The number of rebuttal students used in these activities is higher than that in the other activities. The quality rebuttals are also higher.

When the structure of the warrants is examined, there are more unscientific warrants in the “urgent solution to space pollution” and “who is right” activities, while the correct scientific and partially correct scientific warrants were more frequently used in the “the phases of the moon” and “the planets table of statements” activities.

When the models related to the argument structures are examined in general, it was found that there is a decrease in the type of items used and the number of uses in the “the phases of the moon” and “the planets-table of statements” activities rather than the “urgent solution to space pollution” and “who is right” activities.

When the results were analyzed in terms of groups, it was determined that the argument structures of the second and fourth groups showed more variety than those of the other groups.

The Change of Argumentation Levels

The argumentation levels achieved by six groups created in the “who is right,” “ the planets-table of statements,” “phases of the moon,” and “urgent solution to space pollution” activities are shown in Fig.  2 .

A characterization of the components of critical thinking (Jiménez-Aleixandre & Puig, 2012 , p. 6)

In the first verbal argumentation activity, “who is right?,” the arguments achieved by the five of the six groups were at level 5. Additionally, the arguments achieved by one group, which was group 6, were at level 4.

In the second verbal argumentation activity “table of statements,” a decrease was determined at the levels of the argumentation of the other groups except group 1 and group 3. In the “the phases of the moon” activity, there was a decrease at the level of argumentation achieved by the other groups except for group 2 and group 4. In the last argumentation activity, “urgent solution to space pollution,” it was found that the arguments of all groups were at level 5.

Conclusions and Discussion

The critical thinking skills of the students developed until the middle of the intervention, and the frequency of using critical thinking skills varied after the middle of the intervention. When the activities in the lessons were examined, on the days when critical thinking skills were frequently used, activities including argumentation methods were performed. Based on this situation, it could be revealed that the frequency of using critical thinking skills by students varies according to the use of the argumentation method.

Argumentation is defined as the process of making claims about a scientific subject, supporting them with data, providing reasons for proof, and criticizing, rebutting, and evaluating an idea (Toulmin, 1990 ). According to the definition of argumentation, these processes are also in the subdimensions of critical thinking skills. The ability to provide reasons for critical thinking skills in decision-making/supporting skills is the equivalent of providing reasons for proof in the argumentation process using warrants in the Toulmin argument model. Different types of claims under inference skills are related to making claims in the argumentation process, and rejecting a judgment is related to rebutting an idea in the argumentation process. In this context, the argumentation method is thought to contribute to the development of critical thinking skills within AR.

Another qualitative finding reached in the study is that the skills most used in the subdimensions differ according to the days. This can be explained by the different types of activities performed in each lesson. For example, on the day when the ability to explain observation data was used the most, students observed the sky, constellations, and galaxies with the Star Chart or Sky View applications or observed the planets with the i-Solar System application, and they presented the data they obtained during these observations.

Regarding the verbal argumentation structure of the groups, the findings imply that all groups engaged in argumentation and produced arguments. This finding presented evidence with qualitative data to further verify Squire & Jan’s ( 2007 ) research conducted with primary, middle, and high school students to investigate the potential of a location-based AR game in environmental science concluding that all groups engaged in argumentation. Similarly, Jan ( 2009 ) investigated the experience of three middle school students and their argumentative discourse on environmental education using a location-based AR game, and it was found that all students participated in argumentation and produced arguments.

Another finding in the current study was that students mostly made claims in the activities. This situation can be interpreted as students being strong in expressing their opinions. Similar findings are found in the literature (Author, 20xxa; Cavagnetto et al., 2010 ; Erduran et al., 2004 ; Novak & Treagust, 2017 ). In addition, it was concluded that the students failed to use warrants and data, they could not support their claims with the data, and they did not use “rebuttal” in these studies. However, in this study in which both augmented reality applications and argumentation methods were used, students mostly made contradictory claims and used data and warrants in their arguments. This situation can be interpreted as students being strong in defending their opinions. Additionally, although it was stated in many of the studies that students’ argumentation levels were generally at level 1 or level 2 (Erdogan et al., 2017 ; Erduran et al., 2004 ; Venville & Dawson, 2010 ; Zohar & Nemet, 2002 ), it was found that most of the students’ arguments were at level 4 and level 5 in the current study. Arguments are considered to be high quality in line with the existence of rebuttals, and discussions involving rebuttals are characterized as having a high level of argumentation (Aufschnaiter et al., 2008 ; Erduran et al., 2004 ). Students used rebuttals in their arguments, and their arguments were at high levels, which indicates that students could produce quality arguments. The reason for these findings to differ from those of other studies may be due to the augmented reality technology used in the current study. Enriched representations make it easier to see the structure of arguments (Akpınar et al., 2014 ), helping students to improve their awareness, increase the number of words they use and comments they make (Erkens & Janssen, 2006 ), and provide important information about the subject (Clark et al., 2007 ). By observing enriched representations, students collect evidence for argumentation (Clark & Sampson, 2008 ) and explore different points of view to support their claim (Oestermeier & Hesse, 2000 ). AR technology, which includes enriched representations, may have increased the accessibility of rich data to support students’ arguments; and using these data has helped them to support their arguments and enabled them to discover different perspectives. For example, S4 explained that the statement in the table is incorrect because she observed Uranus, Jupiter, and Neptune having rings around them in the application “I-solar system” as Uranus. She used the data obtained in the AR application to support her claim.

When the models related to the argument structures are examined in general, it was concluded that the type of items, the number of items, and the rebuttals used in scientific activities were less than those in the activities involving socioscientific issues. The rebuttals used were also weak. There are also findings in the literature that producing arguments on scientific issues is more difficult than producing arguments on socioscientific issues (Osborne et al., 2004 ).

When the structure of the warrants in the students’ arguments was examined, it was seen that there are more nonscientific warrants in socioscientific activities, and the scientific and partially scientific warrants are more in the activities that contain scientific subjects. This shows that students were unable to combine what they have learned in science with socioscientific issues. Albe ( 2008 ) and Kolsto ( 2001 ) stated that scientific knowledge is very low in students’ arguments on socioscientific issues. Similarly, the results of the studies conducted in the related literature support this view (Demircioglu & Ucar, 2014 ; Sadler & Donnelly, 2006 ; Wu & Tsai, 2007 ).

When the argument structures in the activities are analyzed by groups, the argument structures of the two groups vary more than the other groups, and the argumentation levels of these groups are at level 4 and level 5. This might be because some students have different prior knowledge about subjects. Different studies have also indicated that content knowledge plays an important role in the quality of students’ arguments (Acar, 2008 ; Aufschnaiter et al., 2008 ; Clark & Sampson, 2008 ; Cross et al., 2008 ; Sampson & Clark, 2011 ). In many studies, it has been emphasized that the most important thing affecting the choice and process of knowledge is previous information (Stark et al., 2009 ). To better understand how previous information affects argumentation quality in astronomy education, investigating the relationship between middle school students’ content knowledge and argumentation quality could be a direction of future research.

Limitations and Future Research

There are some limitations in this study. First, this study was implemented in a private school. Therefore, the results are true for these students. Future research is necessary to be performed with the students in public schools. Second, the researcher conducted the lessons because the science teacher had no ability to design AR learning practices. Teachers and students creating their own AR experiences is an important way to bring the learning outcomes of AR available to a wider audience (Romano et al., 2020 ). Further research can be conducted in which the science teacher of the class is the instructor. Another limitation of the study is that the instruction with AR-based argumentation was time-consuming, and the time allocated for the “Solar System and Beyond” unit in the curriculum was not sufficient for the implementation, because students tried to understand to use AR applications, and they needed time to reflect on the activities despite prior training on AR before the instructional process. This situation may cause cognitive overload (Alalwan et al., 2020 ). The adoption and implementation of educational technologies are more difficult and time-consuming than other methods (Parker & Heywood, 1998 ). A longer period is needed to prepare student-centered and technology-supported activities.

Tables ​ Tables8, 8 , ​ ,9, 9 , ​ ,10 10 and ​ and11 11

This study is a part of Tuba Demircioğlu’s dissertation supported by the Cukurova University Scientific Research Projects (grant number: SDK20153929).

The manuscript is part of first author’s PhD dissertation. The study was reviewed and approved by the PhD committee in the Cukurova University Faculty of Education, as well as by the committee of Ministry of National Education. The parents of students were provided with written informed consent.

Declarations

The authors declare that they have no conflict of interest.

Publisher's Note

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Contributor Information

Tuba Demircioglu, Email: moc.liamg@ulgoicrimedabut .

Memet Karakus, Email: moc.liamg@skkmem .

Sedat Ucar, Email: moc.liamg@racutades .

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Critical Thinking and/or Argumentation in Higher Education

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Critical thinking and argumentation are closely allied. And yet each field has its own derivation and antecedents, and the differences between these are fundamental not only to debates today about their centrality in higher education, but to the entire history of the relationship (in Europe at least) between thought and language as well. On the one hand, critical thinking is most closely allied to philosophy; on the other, argumentation is allied with rhetoric. The debate about the relationship between philosophy and rhetoric goes back to Plato and Aristotle. It concerns ideas, ideals, concepts, and abstract thought and logic in relation to philosophy and the expression of these categories in verbal and other forms of language. Both critical thinking and argumentation overlap in their territories of engagement, and both have pedagogical implications for learning and teaching in higher education. This chapter explores the relationship, examines some examples at doctoral level (and briefly at undergraduate level), and puts the case for argumentation as the best focus in terms of taking forward practice in higher education. In doing so, it may run counter to the arguments in many of the chapters in this book, but the challenge presented in this chapter may act like the grit in the oyster. In Toulminian terms, the challenge can be rebutted or lead to a more qualified position on the role of critical thinking in higher education.

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Andrews, R. (2015). Critical Thinking and/or Argumentation in Higher Education. In: Davies, M., Barnett, R. (eds) The Palgrave Handbook of Critical Thinking in Higher Education. Palgrave Macmillan, New York. https://doi.org/10.1057/9781137378057_3

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ARGUMENTATION AND CRITICAL THINKING

2020, Logics and Arguments

The Logic of an argumentation implies a formalised description of how humans reason and argue about propositions. Implying that Logic in other sense is the study of arguments where it is used for analysing an argument or a piece of reasoning and work out whether it is correct or not. Logical arguments are constructed according to certain rules to minimize errors that might be involved. On a daily basis, people utilise logic when constructing statements, arguing individual points of view and in myriad other ways. By understanding how logic is used helps communicate more efficiently and effectively in any discussions and debates.

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A characteristic feature of modern society is the ever-expanding information space. Hidden information attacks harm the lives of individuals and society in general. In this regard, studies of critical thinking seem particularly important to us. Therefore, critical thinking is interpreted in the academic discourse mainly in connection with the effort to cope with the growing amount of misinformation and hate speech. While teachers and policymakers consider critical thinking an important educational goal, many are unclear about developing this competency in a school setting. For many key competencies, the question is whether and how they can be acquired through planned educational courses/programs. Although there are specific training programs for critical thinking as a core competency, their design and effectiveness are scientifically controversial. Instruction in critical thinking becomes extremely important because it allows individuals to gain a more comprehensive understanding of...

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