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Critical Thinking: A Model of Intelligence for Solving Real-World Problems

Diane f. halpern.

1 Department of Psychology, Claremont McKenna College, Emerita, Altadena, CA 91001, USA

Dana S. Dunn

2 Department of Psychology, Moravian College, Bethlehem, PA 18018, USA; ude.naivarom@nnud

Most theories of intelligence do not directly address the question of whether people with high intelligence can successfully solve real world problems. A high IQ is correlated with many important outcomes (e.g., academic prominence, reduced crime), but it does not protect against cognitive biases, partisan thinking, reactance, or confirmation bias, among others. There are several newer theories that directly address the question about solving real-world problems. Prominent among them is Sternberg’s adaptive intelligence with “adaptation to the environment” as the central premise, a construct that does not exist on standardized IQ tests. Similarly, some scholars argue that standardized tests of intelligence are not measures of rational thought—the sort of skill/ability that would be needed to address complex real-world problems. Other investigators advocate for critical thinking as a model of intelligence specifically designed for addressing real-world problems. Yes, intelligence (i.e., critical thinking) can be enhanced and used for solving a real-world problem such as COVID-19, which we use as an example of contemporary problems that need a new approach.

1. Introduction

The editors of this Special Issue asked authors to respond to a deceptively simple statement: “How Intelligence Can Be a Solution to Consequential World Problems.” This statement holds many complexities, including how intelligence is defined and which theories are designed to address real-world problems.

2. The Problem with Using Standardized IQ Measures for Real-World Problems

For the most part, we identify high intelligence as having a high score on a standardized test of intelligence. Like any test score, IQ can only reflect what is on the given test. Most contemporary standardized measures of intelligence include vocabulary, working memory, spatial skills, analogies, processing speed, and puzzle-like elements (e.g., Wechsler Adult Intelligence Scale Fourth Edition; see ( Drozdick et al. 2012 )). Measures of IQ correlate with many important outcomes, including academic performance ( Kretzschmar et al. 2016 ), job-related skills ( Hunter and Schmidt 1996 ), reduced likelihood of criminal behavior ( Burhan et al. 2014 ), and for those with exceptionally high IQs, obtaining a doctorate and publishing scholarly articles ( McCabe et al. 2020 ). Gottfredson ( 1997, p. 81 ) summarized these effects when she said the “predictive validity of g is ubiquitous.” More recent research using longitudinal data, found that general mental abilities and specific abilities are good predictors of several work variables including job prestige, and income ( Lang and Kell 2020 ). Although assessments of IQ are useful in many contexts, having a high IQ does not protect against falling for common cognitive fallacies (e.g., blind spot bias, reactance, anecdotal reasoning), relying on biased and blatantly one-sided information sources, failing to consider information that does not conform to one’s preferred view of reality (confirmation bias), resisting pressure to think and act in a certain way, among others. This point was clearly articulated by Stanovich ( 2009, p. 3 ) when he stated that,” IQ tests measure only a small set of the thinking abilities that people need.”

3. Which Theories of Intelligence Are Relevant to the Question?

Most theories of intelligence do not directly address the question of whether people with high intelligence can successfully solve real world problems. For example, Grossmann et al. ( 2013 ) cite many studies in which IQ scores have not predicted well-being, including life satisfaction and longevity. Using a stratified random sample of Americans, these investigators found that wise reasoning is associated with life satisfaction, and that “there was no association between intelligence and well-being” (p. 944). (critical thinking [CT] is often referred to as “wise reasoning” or “rational thinking,”). Similar results were reported by Wirthwein and Rost ( 2011 ) who compared life satisfaction in several domains for gifted adults and adults of average intelligence. There were no differences in any of the measures of subjective well-being, except for leisure, which was significantly lower for the gifted adults. Additional research in a series of experiments by Stanovich and West ( 2008 ) found that participants with high cognitive ability were as likely as others to endorse positions that are consistent with their biases, and they were equally likely to prefer one-sided arguments over those that provided a balanced argument. There are several newer theories that directly address the question about solving real-world problems. Prominent among them is Sternberg’s adaptive intelligence with “adaptation to the environment” as the central premise, a construct that does not exist on standardized IQ tests (e.g., Sternberg 2019 ). Similarly, Stanovich and West ( 2014 ) argue that standardized tests of intelligence are not measures of rational thought—the sort of skill/ability that would be needed to address complex real-world problems. Halpern and Butler ( 2020 ) advocate for CT as a useful model of intelligence for addressing real-world problems because it was designed for this purpose. Although there is much overlap among these more recent theories, often using different terms for similar concepts, we use Halpern and Butler’s conceptualization to make our point: Yes, intelligence (i.e., CT) can be enhanced and used for solving a real-world problem like COVID-19.

4. Critical Thinking as an Applied Model for Intelligence

One definition of intelligence that directly addresses the question about intelligence and real-world problem solving comes from Nickerson ( 2020, p. 205 ): “the ability to learn, to reason well, to solve novel problems, and to deal effectively with novel problems—often unpredictable—that confront one in daily life.” Using this definition, the question of whether intelligent thinking can solve a world problem like the novel coronavirus is a resounding “yes” because solutions to real-world novel problems are part of his definition. This is a popular idea in the general public. For example, over 1000 business managers and hiring executives said that they want employees who can think critically based on the belief that CT skills will help them solve work-related problems ( Hart Research Associates 2018 ).

We define CT as the use of those cognitive skills or strategies that increase the probability of a desirable outcome. It is used to describe thinking that is purposeful, reasoned, and goal directed--the kind of thinking involved in solving problems, formulating inferences, calculating likelihoods, and making decisions, when the thinker is using skills that are thoughtful and effective for the particular context and type of thinking task. International surveys conducted by the OECD ( 2019, p. 16 ) established “key information-processing competencies” that are “highly transferable, in that they are relevant to many social contexts and work situations; and ‘learnable’ and therefore subject to the influence of policy.” One of these skills is problem solving, which is one subset of CT skills.

The CT model of intelligence is comprised of two components: (1) understanding information at a deep, meaningful level and (2) appropriate use of CT skills. The underlying idea is that CT skills can be identified, taught, and learned, and when they are recognized and applied in novel settings, the individual is demonstrating intelligent thought. CT skills include judging the credibility of an information source, making cost–benefit calculations, recognizing regression to the mean, understanding the limits of extrapolation, muting reactance responses, using analogical reasoning, rating the strength of reasons that support and fail to support a conclusion, and recognizing hindsight bias or confirmation bias, among others. Critical thinkers use these skills appropriately, without prompting, and usually with conscious intent in a variety of settings.

One of the key concepts in this model is that CT skills transfer in appropriate situations. Thus, assessments using situational judgments are needed to assess whether particular skills have transferred to a novel situation where it is appropriate. In an assessment created by the first author ( Halpern 2018 ), short paragraphs provide information about 20 different everyday scenarios (e.g., A speaker at the meeting of your local school board reported that when drug use rises, grades decline; so schools need to enforce a “war on drugs” to improve student grades); participants provide two response formats for every scenario: (a) constructed responses where they respond with short written responses, followed by (b) forced choice responses (e.g., multiple choice, rating or ranking of alternatives) for the same situations.

There is a large and growing empirical literature to support the assertion that CT skills can be learned and will transfer (when taught for transfer). See for example, Holmes et al. ( 2015 ), who wrote in the prestigious Proceedings of the National Academy of Sciences , that there was “significant and sustained improvement in students’ critical thinking behavior” (p. 11,199) for students who received CT instruction. Abrami et al. ( 2015, para. 1 ) concluded from a meta-analysis that “there are effective strategies for teaching CT skills, both generic and content specific, and CT dispositions, at all educational levels and across all disciplinary areas.” Abrami et al. ( 2008, para. 1 ), included 341 effect sizes in a meta-analysis. They wrote: “findings make it clear that improvement in students’ CT skills and dispositions cannot be a matter of implicit expectation.” A strong test of whether CT skills can be used for real-word problems comes from research by Butler et al. ( 2017 ). Community adults and college students (N = 244) completed several scales including an assessment of CT, an intelligence test, and an inventory of real-life events. Both CT scores and intelligence scores predicted individual outcomes on the inventory of real-life events, but CT was a stronger predictor.

Heijltjes et al. ( 2015, p. 487 ) randomly assigned participants to either a CT instruction group or one of six other control conditions. They found that “only participants assigned to CT instruction improved their reasoning skills.” Similarly, when Halpern et al. ( 2012 ) used random assignment of participants to either a learning group where they were taught scientific reasoning skills using a game format or a control condition (which also used computerized learning and was similar in length), participants in the scientific skills learning group showed higher proportional learning gains than students who did not play the game. As the body of additional supportive research is too large to report here, interested readers can find additional lists of CT skills and support for the assertion that these skills can be learned and will transfer in Halpern and Dunn ( Forthcoming ). There is a clear need for more high-quality research on the application and transfer of CT and its relationship to IQ.

5. Pandemics: COVID-19 as a Consequential Real-World Problem

A pandemic occurs when a disease runs rampant over an entire country or even the world. Pandemics have occurred throughout history: At the time of writing this article, COVID-19 is a world-wide pandemic whose actual death rate is unknown but estimated with projections of several million over the course of 2021 and beyond ( Mega 2020 ). Although vaccines are available, it will take some time to inoculate most or much of the world’s population. Since March 2020, national and international health agencies have created a list of actions that can slow and hopefully stop the spread of COVID (e.g., wearing face masks, practicing social distancing, avoiding group gatherings), yet many people in the United States and other countries have resisted their advice.

Could instruction in CT encourage more people to accept and comply with simple life-saving measures? There are many possible reasons to believe that by increasing citizens’ CT abilities, this problematic trend can be reversed for, at least, some unknown percentage of the population. We recognize the long history of social and cognitive research showing that changing attitudes and behaviors is difficult, and it would be unrealistic to expect that individuals with extreme beliefs supported by their social group and consistent with their political ideologies are likely to change. For example, an Iranian cleric and an orthodox rabbi both claimed (separately) that the COVID-19 vaccine can make people gay ( Marr 2021 ). These unfounded opinions are based on deeply held prejudicial beliefs that we expect to be resistant to CT. We are targeting those individuals who beliefs are less extreme and may be based on reasonable reservations, such as concern about the hasty development of the vaccine and the lack of long-term data on its effects. There should be some unknown proportion of individuals who can change their COVID-19-related beliefs and actions with appropriate instruction in CT. CT can be a (partial) antidote for the chaos of the modern world with armies of bots creating content on social media, political and other forces deliberately attempting to confuse issues, and almost all media labeled “fake news” by social influencers (i.e., people with followers that sometimes run to millions on various social media). Here, are some CT skills that could be helpful in getting more people to think more critically about pandemic-related issues.

Reasoning by Analogy and Judging the Credibility of the Source of Information

Early communications about the ability of masks to prevent the spread of COVID from national health agencies were not consistent. In many regions of the world, the benefits of wearing masks incited prolonged and acrimonious debates ( Tang 2020 ). However, after the initial confusion, virtually all of the global and national health organizations (e.g., WHO, National Health Service in the U. K., U. S. Centers for Disease Control and Prevention) endorse masks as a way to slow the spread of COVID ( Cheng et al. 2020 ; Chu et al. 2020 ). However, as we know, some people do not trust governmental agencies and often cite the conflicting information that was originally given as a reason for not wearing a mask. There are varied reasons for refusing to wear a mask, but the one most often cited is that it is against civil liberties ( Smith 2020 ). Reasoning by analogy is an appropriate CT skill for evaluating this belief (and a key skill in legal thinking). It might be useful to cite some of the many laws that already regulate our behavior such as, requiring health inspections for restaurants, setting speed limits, mandating seat belts when riding in a car, and establishing the age at which someone can consume alcohol. Individuals would be asked to consider how the mandate to wear a mask compares to these and other regulatory laws.

Another reason why some people resist the measures suggested by virtually every health agency concerns questions about whom to believe. Could training in CT change the beliefs and actions of even a small percentage of those opposed to wearing masks? Such training would include considering the following questions with practice across a wide domain of knowledge: (a) Does the source have sufficient expertise? (b) Is the expertise recent and relevant? (c) Is there a potential for gain by the information source, such as financial gain? (d) What would the ideal information source be and how close is the current source to the ideal? (e) Does the information source offer evidence that what they are recommending is likely to be correct? (f) Have you traced URLs to determine if the information in front of you really came from the alleged source?, etc. Of course, not everyone will respond in the same way to each question, so there is little likelihood that we would all think alike, but these questions provide a framework for evaluating credibility. Donovan et al. ( 2015 ) were successful using a similar approach to improve dynamic decision-making by asking participants to reflect on questions that relate to the decision. Imagine the effect of rigorous large-scale education in CT from elementary through secondary schools, as well as at the university-level. As stated above, empirical evidence has shown that people can become better thinkers with appropriate instruction in CT. With training, could we encourage some portion of the population to become more astute at judging the credibility of a source of information? It is an experiment worth trying.

6. Making Cost—Benefit Assessments for Actions That Would Slow the Spread of COVID-19

Historical records show that refusal to wear a mask during a pandemic is not a new reaction. The epidemic of 1918 also included mandates to wear masks, which drew public backlash. Then, as now, many people refused, even when they were told that it was a symbol of “wartime patriotism” because the 1918 pandemic occurred during World War I ( Lovelace 2020 ). CT instruction would include instruction in why and how to compute cost–benefit analyses. Estimates of “lives saved” by wearing a mask can be made meaningful with graphical displays that allow more people to understand large numbers. Gigerenzer ( 2020 ) found that people can understand risk ratios in medicine when the numbers are presented as frequencies instead of probabilities. If this information were used when presenting the likelihood of illness and death from COVID-19, could we increase the numbers of people who understand the severity of this disease? Small scale studies by Gigerenzer have shown that it is possible.

Analyzing Arguments to Determine Degree of Support for a Conclusion

The process of analyzing arguments requires that individuals rate the strength of support for and against a conclusion. By engaging in this practice, they must consider evidence and reasoning that may run counter to a preferred outcome. Kozyreva et al. ( 2020 ) call the deliberate failure to consider both supporting and conflicting data “deliberate ignorance”—avoiding or failing to consider information that could be useful in decision-making because it may collide with an existing belief. When applied to COVID-19, people would have to decide if the evidence for and against wearing a face mask is a reasonable way to stop the spread of this disease, and if they conclude that it is not, what are the costs and benefits of not wearing masks at a time when governmental health organizations are making them mandatory in public spaces? Again, we wonder if rigorous and systematic instruction in argument analysis would result in more positive attitudes and behaviors that relate to wearing a mask or other real-world problems. We believe that it is an experiment worth doing.

7. Conclusions

We believe that teaching CT is a worthwhile approach for educating the general public in order to improve reasoning and motivate actions to address, avert, or ameliorate real-world problems like the COVID-19 pandemic. Evidence suggests that CT can guide intelligent responses to societal and global problems. We are NOT claiming that CT skills will be a universal solution for the many real-world problems that we confront in contemporary society, or that everyone will substitute CT for other decision-making practices, but we do believe that systematic education in CT can help many people become better thinkers, and we believe that this is an important step toward creating a society that values and practices routine CT. The challenges are great, but the tools to tackle them are available, if we are willing to use them.

Author Contributions

Conceptualization, D.F.H. and D.S.D.; resources, D.F.H.; data curation, writing—original draft preparation, D.F.H.; writing—review and editing, D.F.H. and D.S.D. All authors have read and agreed to the published version of the manuscript.

This research received no external funding.

Institutional Review Board Statement

No IRB Review.

Informed Consent Statement

No Informed Consent.

Conflicts of Interest

The authors declare no conflict of interest.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Definition of Critical Thinking:

Description:

Critical thinking refers to the intellectual process of analyzing, evaluating, and interpreting information and arguments in a systematic and objective manner. It involves the careful examination of facts, evidence, and reasoning to form rational and well-informed judgments.

Components:

Critical thinking includes several essential components:

• Analysis: The ability to break down complex information into its constituent parts and examine them systematically.
• Evaluation: The capacity to assess the credibility, accuracy, and reliability of information and arguments.
• Inference: The skill to draw logical and reasoned conclusions based on available evidence.
• Interpretation: The aptitude to comprehend and explain the meaning and significance of information and evidence.
• Explanation: The capability to clarify and justify one’s own thought processes and reasoning, explicitly stating the underlying assumptions and principles.
• Self-regulation: The discipline to monitor one’s own thinking, recognizing and challenging biases, prejudices, and assumptions.
• Open-mindedness: The willingness to consider alternative viewpoints, perspectives, and hypotheses without prejudice or preconceived notions.

Importance:

Critical thinking plays a vital role in various aspects of life, including education, personal and professional relationships, problem-solving, decision-making, and understanding complex issues. It enables individuals to think independently, make informed judgments, evaluate the reliability of information, and develop well-reasoned arguments.

Developing and applying critical thinking skills can lead to numerous benefits, such as:

• Improved problem-solving abilities and decision-making skills.
• Enhanced communication and argumentation skills.
• Strengthened comprehension and interpretation of information.
• Increased objectivity and rationality in thinking.
• Heightened creativity and innovation.
• Reduced vulnerability to manipulation and misinformation.
• Greater self-awareness and personal growth.

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In This Article Expand or collapse the "in this article" section Critical Thinking

Introduction, general overviews.

• Importance of Thinking Critically
• Defining Critical Thinking
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• Teaching Specific Skills
• Encouraging a Disposition toward Thinking Critically
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• Thinking Critically about Critical Thinking

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A Brief Guide for Teaching and Assessing Critical Thinking in Psychology

In my first year of college teaching, a student approached me one day after class and politely asked, “What did you mean by the word ‘evidence’?” I tried to hide my shock at what I took to be a very naive question. Upon further reflection, however, I realized that this was actually a good question, for which the usual approaches to teaching psychology provided too few answers. During the next several years, I developed lessons and techniques to help psychology students learn how to evaluate the strengths and weaknesses of scientific and nonscientific kinds of evidence and to help them draw sound conclusions. It seemed to me that learning about the quality of evidence and drawing appropriate conclusions from scientific research were central to teaching critical thinking (CT) in psychology.

In this article, I have attempted to provide guidelines to psychol­ogy instructors on how to teach CT, describing techniques I devel­oped over 20 years of teaching. More importantly, the techniques and approach described below are ones that are supported by scientific research. Classroom examples illustrate the use of the guidelines and how assessment can be integrated into CT skill instruction.

Overview of the Guidelines

Confusion about the definition of CT has been a major obstacle to teaching and assessing it (Halonen, 1995; Williams, 1999). To deal with this problem, we have defined CT as reflective think­ing involved in the evaluation of evidence relevant to a claim so that a sound or good conclusion can be drawn from the evidence (Bensley, 1998). One virtue of this definition is it can be applied to many thinking tasks in psychology. The claims and conclusions psychological scientists make include hypotheses, theoretical state­ments, interpretation of research findings, or diagnoses of mental disorders. Evidence can be the results of an experiment, case study, naturalistic observation study, or psychological test. Less formally, evidence can be anecdotes, introspective reports, commonsense beliefs, or statements of authority. Evaluating evidence and drawing appropriate conclusions along with other skills, such as distin­guishing arguments from nonarguments and finding assumptions, are collectively called argument analysis skills. Many CT experts take argument analysis skills to be fundamental CT skills (e.g., Ennis, 1987; Halpern, 1998). Psychology students need argument analysis skills to evaluate psychological claims in their work and in everyday discourse.

Some instructors expect their students will improve CT skills like argument analysis skills by simply immersing them in challenging course work. Others expect improvement because they use a textbook with special CT questions or modules, give lectures that critically review the literature, or have students complete written assignments. While these and other traditional techniques may help, a growing body of research suggests they are not sufficient to efficiently produce measurable changes in CT skills. Our research on acquisition of argument analysis skills in psychology (Bensley, Crowe, Bernhardt, Buchner, & Allman, in press) and on critical reading skills (Bensley & Haynes, 1995; Spero & Bensley, 2009) suggests that more explicit, direct instruction of CT skills is necessary. These results concur with results of an earlier review of CT programs by Chance (1986) and a recent meta-analysis by Abrami et al., (2008).

Based on these and other findings, the following guidelines describe an approach to explicit instruction in which instructors can directly infuse CT skills and assessment into their courses. With infusion, instructors can use relevant content to teach CT rules and concepts along with the subject matter. Directly infus­ing CT skills into course work involves targeting specific CT skills, making CT rules, criteria, and methods explicit, providing guided practice in the form of exercises focused on assessing skills, and giving feedback on practice and assessments. These components are similar to ones found in effective, direct instruc­tion approaches (Walberg, 2006). They also resemble approaches to teaching CT proposed by Angelo (1995), Beyer (1997), and Halpern (1998). Importantly, this approach has been successful in teaching CT skills in psychology (e.g., Bensley, et al., in press; Bensley & Haynes, 1995; Nieto & Saiz, 2008; Penningroth, Despain, & Gray, 2007). Directly infusing CT skill instruction can also enrich content instruction without sacrificing learning of subject matter (Solon, 2003). The following seven guidelines, illustrated by CT lessons and assessments, explicate this process.

Seven Guidelines for Teaching and Assessing Critical Thinking

1. Motivate your students to think critically

Critical thinking takes effort. Without proper motivation, students are less inclined to engage in it. Therefore, it is good to arouse interest right away and foster commitment to improving CT throughout a course. One motivational strategy is to explain why CT is important to effective, professional behavior. Often, telling a compelling story that illustrates the consequences of failing to think critically can mo­tivate students. For example, the tragic death of 10-year-old Candace Newmaker at the hands of her therapists practicing attachment therapy illustrates the perils of using a therapy that has not been supported by good empirical evidence (Lilienfeld, 2007).

Instructors can also pique interest by taking a class poll posing an interesting question on which students are likely to have an opinion. For example, asking students how many think that the full moon can lead to increases in abnormal behavior can be used to introduce the difference between empirical fact and opinion or common sense belief. After asking students how psychologists answer such questions, instructors might go over the meta-analysis of Rotton and Kelly (1985). Their review found that almost all of the 37 studies they reviewed showed no association between the phase of the moon and abnormal behavior with only a few, usually poorly, controlled studies supporting it. Effect size over all stud­ies was very small (.01). Instructors can use this to illustrate how psychologists draw a conclusion based on the quality and quantity of research studies as opposed to what many people commonly believe. For other interesting thinking errors and misconceptions related to psychology, see Bensley (1998; 2002; 2008), Halpern (2003), Ruscio (2006), Stanovich (2007), and Sternberg (2007).

Attitudes and dispositions can also affect motivation to think critically. If students lack certain CT dispositions such as open-mindedness, fair-mindedness, and skepticism, they will be less likely to think critically even if they have CT skills (Halpern, 1998). Instructors might point out that even great scientists noted for their powers of reasoning sometimes fail to think critically when they are not disposed to use their skills. For example, Alfred Russel Wallace who used his considerable CT skills to help develop the concept of natural selection also believed in spiritualistic contact with the dead. Despite considerable evidence that mediums claiming to contact the dead were really faking such contact, Wallace continued to believe in it (Bensley, 2006). Likewise, the great American psychologist William James, whose reasoning skills helped him develop the seeds of important contemporary theories, believed in spiritualism despite evidence to the contrary.

2. Clearly state the CT goals and objectives for your class

Once students are motivated, the instructor should focus them on what skills they will work on during the course. The APA task force on learning goals and objectives for psychology listed CT as one of 10 major goals for students (Halonen et al., 2002). Under critical thinking they have further specified outcomes such as evaluating the quality of information, identifying and evaluating the source and credibility of information, recognizing and defending against think­ing errors and fallacies. Instructors should publish goals like these in their CT course objectives in their syllabi and more specifically as assignment objectives in their assignments. Given the pragmatic penchant of students for studying what is needed to succeed in a course, this should help motivate and focus them.

To make instruction efficient, course objectives and lesson ob­jectives should explicitly target CT skills to be improved. Objectives should specify the behavior that will change in a way that can be measured. A course objective might read, “After taking this course, you will be able to analyze arguments found in psychological and everyday discussions.” When the goal of a lesson is to practice and improve specific microskills that make up argument analysis, an assignment objective might read “After successfully completing this assignment, you will be able to identify different kinds of evidence in a psychological discussion.” Or another might read “After suc­cessfully completing this assignment, you will be able to distinguish arguments from nonarguments.” Students might demonstrate they have reached these objectives by showing the behavior of correctly labeling the kinds of evidence presented in a passage or by indicating whether an argument or merely a claim has been made. By stating objectives in the form of assessable behaviors, the instructor can test these as assessment hypotheses.

Sometimes when the goal is to teach students how to decide which CT skills are appropriate in a situation, the instructor may not want to identify specific skills. Instead, a lesson objective might read, “After successfully completing this assignment, you will be able to decide which skills and knowledge are appropriate for criti­cally analyzing a discussion in psychology.”

3. Find opportunities to infuse CT that fit content and skill requirements of your course

To improve their CT skills, students must be given opportunities to practice them. Different courses present different opportunities for infusion and practice. Stand-alone CT courses usually provide the most opportunities to infuse CT. For example, the Frostburg State University Psychology Department has a senior seminar called “Thinking like a Psychologist” in which students complete lessons giving them practice in argument analysis, critical reading, critically evaluating information on the Internet, distinguishing science from pseudoscience, applying their knowledge and CT skills in simula­tions of psychological practice, and other activities.

In more typical subject-oriented courses, instructors must find specific content and types of tasks conducive to explicit CT skill instruction. For example, research methods courses present several opportunities to teach argument analysis skills. Instructors can have students critically evaluate the quality of evidence provided by studies using different research methods and designs they find in PsycINFO and Internet sources. This, in turn, could help students write better critical evaluations of research for research reports.

A cognitive psychology teacher might assign a critical evalu­ation of the evidence on an interesting question discussed in text­book literature reviews. For example, students might evaluate the evidence relevant to the question of whether people have flashbulb memories such as accurately remembering the 9-11 attack. This provides the opportunity to teach them that many of the studies, although informative, are quasi-experimental and cannot show causation. Or, students might analyze the arguments in a TV pro­gram such as the fascinating Nova program Kidnapped by Aliens on people who recall having been abducted by aliens.

4. Use guided practice, explicitly modeling and scaffolding CT.

Guided practice involves modeling and supporting the practice of target skills, and providing feedback on progress towards skill attainment. Research has shown that guided practice helps student more efficiently acquire thinking skills than unguided and discovery approaches (Meyer, 2004).

Instructors can model the use of CT rules, criteria, and proce­dures for evaluating evidence and drawing conclusions in many ways. They could provide worked examples of problems, writing samples displaying good CT, or real-world examples of good and bad thinking found in the media. They might also think out loud as they evaluate arguments in class to model the process of thinking.

To help students learn to use complex rules in thinking, instruc­tors should initially scaffold student thinking. Scaffolding involves providing product guidelines, rules, and other frameworks to support the process of thinking. Table 1 shows guidelines like those found in Bensley (1998) describing nonscientific kinds of evidence that can support student efforts to evaluate evidence in everyday psychologi­cal discussions. Likewise, Table 2 provides guidelines like those found in Bensley (1998) and Wade and Tavris (2005) describing various kinds of scientific research methods and designs that differ in the quality of evidence they provide for psychological arguments.

In the cognitive lesson on flashbulb memory described earlier, students use the framework in Table 2 to evaluate the kinds of evidence in the literature review. Table 1 can help them evaluate the kinds of evidence found in the Nova video Kidnapped by Aliens . Specifically, they could use it to contrast scientific authority with less credible authority. The video includes statements by scientific authorities like Elizabeth Loftus based on her extensive research contrasted with the nonscientific authority of Bud Hopkins, an artist turned hypnotherapist and author of popular books on alien abduction. Loftus argues that the memories of alien abduction in the children interviewed by Hopkins were reconstructed around the suggestive interview questions he posed. Therefore, his conclu­sion that the children and other people in the video were recalling actual abduction experiences was based on anecdotes, unreliable self-reports, and other weak evidence.

Modeling, scaffolding, and guided practice are especially useful in helping students first acquire CT skills. After sufficient practice, however, instructors should fade these and have students do more challenging assignments without these supports to promote transfer.

5. Align assessment with practice of specific CT skills

Test questions and other assessments of performance should be similar to practice questions and problems in the skills targeted but differ in content. For example, we have developed a series of practice and quiz questions about the kinds of evidence found in Table 1 used in everyday situations but which differ in subject matter from practice to quiz. Likewise, other questions employ research evidence examples corresponding to Table 2. Questions ask students to identify kinds of evidence, evaluate the quality of the evidence, distinguish arguments from nonarguments, and find assumptions in the examples with practice examples differing in content from assessment items.

6. Provide feedback and encourage students to reflect on it

Instructors should focus feedback on the degree of attainment of CT skill objectives in the lesson or assessment. The purpose of feedback is to help students learn how to correct faulty thinking so that in the future they monitor their thinking and avoid such problems. This should increase their metacognition or awareness and control of their thinking, an important goal of CT instruction (Halpern, 1998).

Students must use their feedback for it to improve their CT skills. In the CT exercises and critical reading assignments, students receive feedback in the form of corrected responses and written feedback on open-ended questions. They should be advised that paying attention to feedback on earlier work and assessments should improve their performance on later assessments.

7. Reflect on feedback and assessment results to improve CT instruction

Instructors should use the feedback they provide to students and the results of ongoing assessments to ‘close the loop,’ that is, use these outcomes to address deficiencies in performance and improve instruction. In actual practice, teaching and assessment strategies rarely work optimally the first time. Instructors must be willing to tinker with these to make needed improvements. Reflec­tion on reliable and valid assessment results provides a scientific means to systematically improve instruction and assessment.

Instructors may find the direct infusion approach as summarized in the seven guidelines to be efficient, especially in helping students acquire basic CT skills, as research has shown. They may especially appreciate how it allows them to take a scientific approach to the improvement of instruction. Although the direct infusion approach seems to efficiently promote acquisition of CT skills, more research is needed to find out if students transfer their skills outside of the class­room or whether this approach needs adjustment to promote transfer.

Table 1. Strengths and Weaknesses of Nonscientific Sources and Kinds of Evidence

Table 2. Strengths and Weaknesses of Scientific Research Methods/Designs Used as Sources of Evidence

Abrami, P. C., Bernard, R. M., Borokhovhovski, E., Wade, A., Surkes, M. A., Tamim, R., et al., (2008). Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of Educational Research, 4 , 1102–1134.

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Bensley, D.A. (2002). Science and pseudoscience: A critical thinking primer. In M. Shermer (Ed.), The Skeptic encyclopedia of pseudoscience. (pp. 195–203). Santa Barbara, CA: ABC–CLIO.

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Bensley, D.A. (2008). Can you learn to think more like a psychologist? The Psychologist, 21, 128–129.

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Chance, P. (1986) Thinking in the classroom: A review of programs . New York: Instructors College Press.

Ennis, R.H. (1987). A taxonomy of critical thinking dispositions and abilities. In J. B. Baron & R. F. Sternberg (Eds.). Teaching thinking skills: Theory and practice (pp. 9–26). New York: Freeman.

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Nieto, A.M., & Saiz, C. (2008). Evaluation of Halpern’s “structural component” for improving critical thinking. The Spanish Journal of Psychology , 11 ( 1 ), 266–274.

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Rotton, J., & Kelly, I. (1985). Much ado about the full moon: A meta-analysis of lunar-lunacy research. Psychological Bulletin , 97 , 286–306.

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Excellent article.

Interesting and helpful!

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About the Author

D. Alan Bensley is Professor of Psychology at Frostburg State University. He received his Master’s and PhD degrees in cognitive psychology from Rutgers University. His main teaching and research interests concern the improvement of critical thinking and other cognitive skills. He coordinates assessment for his department and is developing a battery of instruments to assess critical thinking in psychology. He can be reached by email at [email protected] Association for Psychological Science December 2010 — Vol. 23, No. 10

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Why is critical thinking important for Psychology students?

Amy Burrell, Daniel Waldeck, and Rachael Leggett – authors of ‘How to make the most of your psychology degree’ – explain what critical thinking is and why it is an essential skill for all Psychology students.

16 September 2022

So, you're off to university to study Psychology? From day one, in seminars, in lectures, attached to almost every assignment, you will encounter the words 'critical thinking' or 'critical evaluation'. But what does that mean?

Showing your critical thinking is not just a box to be ticked on your assignment marksheet: it is a life skill that helps us to really understand and interpret the world around us. Critical thinking is objective and requires you to analyse and evaluate information to form a sound judgement. It is a cornerstone of evidence-based arguments and forming an evidence-based argument is essential in Psychology. That is why we, your tutors, as well as your future employers, want you to develop this skill effectively.

However, despite all the time we spend learning about critical thinking, there are several common issues that come up. Let us start with the causation versus correlation problem.

Causation versus correlation problem

As researchers, when we see a relationship between two variables, we inevitably get excited. It is very easy to think A caused B but, often, life is more complex than that. What might look like a direct relationship, could in fact be coincidence or due to another explanation. Take, for example, that researchers have found cows who are named produce more milk. It would be easy to get carried away with a media headline. When you read the paper , you will realise that the mechanism for producing more milk is not having a name, it is what that represents – i.e. the quality of the human-animal relationship (or, more simply put, treating cows as individuals).

There are also many examples of spurious correlations – the internet is full of interesting oddities like the correlation between divorce rates and consumption of margarine in Maine, USA or that a shortage of pirates has led to global warming . Whilst there might be a relationship between our two variables we need to be thoughtful when interpreting our findings. We can't just take things at face value. We need to try and understand why these relationships exist.

Limited critique

Another common issue is that, where there is critique, this is often limited. Most students do provide some critique, but this is often very generic – for example, 'my sample size is small and/or non-representative'. This is a good start, but we need to see more depth in critique, and this means being more specific – for example, explaining why a small or non-representative sample might be a problem and what this means for your interpretation of findings.

Another common problem is students being dismissive of non-significant results. Remember non-significant is not insignificant! If your research was conducted to a high standard with the large sample size, it could be that you found a genuine lack of a relationship between variables and that might be really important. Listening to the data is essential.

It is important to be aware of wider issues too – for example, the replication crisis . This describes the situation where the findings of many published studies are difficult to reproduce. It is important that findings are replicated to validate these. The replication crisis is a problem for Psychology too; so much so that this presents opportunities for students – i.e. to conduct replication studies!

How do I think critically?

Ok, so we've talked about why critical thinking is important and pointed out some of the challenges, but how do you do critical thinking? We include lots of advice in our book, but there are some key tips to help you get started:

• Read, read, and read some more – you are a Psychology student now. If you hate reading, you chose the wrong course! Reading helps us to understand how other people critique and this give us the opportunity to reflect on whether we agree or disagree (and why).
• It's pretty obvious, but go to class. Not only that, engage in your learning. Don't be a passive person sat on their phone. Get in there, get your hands dirty, so to speak. Your sneaky tutors will have built skills development, including critical thinking, into their class activities. Make the most of this to help you learn.
• Remember critique can be positive or negative – for example, the study could be methodologically robust, but the small sample size could mean it lacks statistical power.
• It is useful to consider what the researcher can control as a starting point for critiquing research papers (e.g., sample size, methods used, materials used etc.). You can also consider things they can't control (e.g., the time limits or budget for their study, that the population they are drawing their sample from might be small or hard to recruit).
• When it comes to critique, there is no limit. There is no magic number of critical points you need to make to get a pass or reach a particular grade. The stronger the quality of your critique, the better your grade.

And, finally, remember critical thinking is not just repeating someone else's critique. By all means consider the critique of others but read the papers they are critiquing for yourself and come to your own conclusions .

So, how do we sum up? Well, at the risk of sounding repetitive, there really is only one message we are trying to get across; critical thinking is an essential skill for Psychology students. And for graduates! Once you get into the workplace, you will find you will need to be able to think critically to do your day job. Add to that, being able to think critically at a broader/strategic level (e.g., the replication crisis!) will only ever put you at an advantage, maybe even a frontrunner for that promotion. So, if you crack it during your degree, you will be at a massive advantage in your career.

Our book How to make the most of your psychology degree: study skills, employability, and professional development  is available to purchase here .

Dr Amy Burrell [pictured, left] – formerly Assistant Professor in Forensic Psychology at Coventry University – has considerable experience of tutoring and teaching in Psychology. She is now a Research Fellow in the School of Psychology at the University of Birmingham.

Dr Dan Waldeck [pictured, top right] is an Assistant Professor in Psychology at Coventry University, with extensive experience of teaching research methods and study skills.

Rachael Leggett [pictured, bottom right] is a Lecturer in Forensic Psychology at Coventry University and routinely teaches across forensic topics including study skills and employability.

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critical thinking

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• Stanford Encyclopedia of Philosophy - Critical Thinking
• Internet Encyclopedia of Philosophy - Critical Thinking
• Monash University - Student Academic Success - What is critical thinking?
• Oklahoma State University Pressbooks - Critical Thinking - Introduction to Critical Thinking
• University of Louisville - Critical Thinking

critical thinking , in educational theory, mode of cognition using deliberative reasoning and impartial scrutiny of information to arrive at a possible solution to a problem. From the perspective of educators, critical thinking encompasses both a set of logical skills that can be taught and a disposition toward reflective open inquiry that can be cultivated . The term critical thinking was coined by American philosopher and educator John Dewey in the book How We Think (1910) and was adopted by the progressive education movement as a core instructional goal that offered a dynamic modern alternative to traditional educational methods such as rote memorization.

Critical thinking is characterized by a broad set of related skills usually including the abilities to

• break down a problem into its constituent parts to reveal its underlying logic and assumptions
• recognize and account for one’s own biases in judgment and experience
• collect and assess relevant evidence from either personal observations and experimentation or by gathering external information
• adjust and reevaluate one’s own thinking in response to what one has learned
• form a reasoned assessment in order to propose a solution to a problem or a more accurate understanding of the topic at hand

Theorists have noted that such skills are only valuable insofar as a person is inclined to use them. Consequently, they emphasize that certain habits of mind are necessary components of critical thinking. This disposition may include curiosity, open-mindedness, self-awareness, empathy , and persistence.

Although there is a generally accepted set of qualities that are associated with critical thinking, scholarly writing about the term has highlighted disagreements over its exact definition and whether and how it differs from related concepts such as problem solving . In addition, some theorists have insisted that critical thinking be regarded and valued as a process and not as a goal-oriented skill set to be used to solve problems. Critical-thinking theory has also been accused of reflecting patriarchal assumptions about knowledge and ways of knowing that are inherently biased against women.

Dewey, who also used the term reflective thinking , connected critical thinking to a tradition of rational inquiry associated with modern science . From the turn of the 20th century, he and others working in the overlapping fields of psychology , philosophy , and educational theory sought to rigorously apply the scientific method to understand and define the process of thinking. They conceived critical thinking to be related to the scientific method but more open, flexible, and self-correcting; instead of a recipe or a series of steps, critical thinking would be a wider set of skills, patterns, and strategies that allow someone to reason through an intellectual topic, constantly reassessing assumptions and potential explanations in order to arrive at a sound judgment and understanding.

In the progressive education movement in the United States , critical thinking was seen as a crucial component of raising citizens in a democratic society. Instead of imparting a particular series of lessons or teaching only canonical subject matter, theorists thought that teachers should train students in how to think. As critical thinkers, such students would be equipped to be productive and engaged citizens who could cooperate and rationally overcome differences inherent in a pluralistic society.

Beginning in the 1970s and ’80s, critical thinking as a key outcome of school and university curriculum leapt to the forefront of U.S. education policy. In an atmosphere of renewed Cold War competition and amid reports of declining U.S. test scores, there were growing fears that the quality of education in the United States was falling and that students were unprepared. In response, a concerted effort was made to systematically define curriculum goals and implement standardized testing regimens , and critical-thinking skills were frequently included as a crucially important outcome of a successful education. A notable event in this movement was the release of the 1980 report of the Rockefeller Commission on the Humanities that called for the U.S. Department of Education to include critical thinking on its list of “basic skills.” Three years later the California State University system implemented a policy that required every undergraduate student to complete a course in critical thinking.

Critical thinking continued to be put forward as a central goal of education in the early 21st century. Its ubiquity in the language of education policy and in such guidelines as the Common Core State Standards in the United States generated some criticism that the concept itself was both overused and ill-defined. In addition, an argument was made by teachers, theorists, and others that educators were not being adequately trained to teach critical thinking.

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2.1 What is critical thinking?

Critical thinking is a form of making a judgement; it is not about being negative. It is something that most people do, daily, often with little awareness of the process they are going through. In simple terms, an example of everyday critical thinking is, I’m going hiking today, should I wear trainers or sandals? Critical thinking involves making an assessment of something, and then providing a critique of that position and putting forward new positions. For example, flip flops may be comfortable for the first part of the hike, in hot weather. However, the top of the mountain is rocky so a more substantial trainer might be needed to get to the summit and protect your toes.

There are different stages to critical thinking, but they follow broadly similar steps. Firstly, you need to understand the issue at hand and the problem that is being faced or needs to be solved, and why? Secondly, it is necessary to carry out some form of analysis or collect some evidence about possible ways to understand the issue. For example, when do I need to solve the problem by? What resources do I have available to solve it? What happens if I use method A or method B to solve it? Is there a method C that would solve it more effectively? Thirdly, on the basis of the analysis, an evaluation is carried out, and finally a judgement is made about which way to progress. The advantages of working through these steps is that it widens thinking about a situation or issue, and opens up opportunities to different possible outcomes and solutions.

The four stages of critical thinking

• Understand: what is the problem that needs to be solved, and why?
• Analyse: when do I need to solve the problem by? What resources do I have to solve it? What happens if I use method A or method B to solve it? Is there a method C that would solve it more effectively?
• Evaluate: based on your analysis you should make an evaluation.
• Judge: based on your analysis and evaluation, how will you proceed?

Elder and Paul (2012) describe a ‘well cultivated critical thinker’ as someone who:

• raises vital questions and problems, formulating them clearly and precisely
• gathers and assesses relevant information, using abstract ideas to interpret it effectively
• comes to well-reasoned conclusions and solutions, testing them against relevant criteria and standards
• thinks open-mindedly within alternative systems of thought, recognising and assessing, as need be, their assumptions, implications, and practical consequences; and
• communicates effectively with others in figuring out solutions to complex problems.

Why is critical thinking important to psychology and research methods?

Critical thinking enables the researcher to go through the process of recognising their assumptions, challenging them and looking at possible other ways to do something.

In applying critical thinking to research, you will understand that there are different types of research questions; and that these different types of questions require different types of research designs (and consequently different methods) to answer them. If the question and the design do not correspond, then the conclusions that are made about the research are likely to be questionable at best, and probably wrong.

Now you have a better understanding of what critical thinking is, you will move onto look at a framework for developing research questions.

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• Critical Thinking in Psychology

Critical Thinking in Psychology

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• Cited by 11

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• Edited by Robert J. Sternberg , Yale University, Connecticut , Henry L. Roediger III , Washington University, St Louis , Diane F. Halpern , Claremont McKenna College, California
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Book description

Good scientific research depends on critical thinking at least as much as factual knowledge; psychology is no exception to this rule. And yet, despite the importance of critical thinking, psychology students are rarely taught how to think critically about the theories, methods, and concepts they must use. This book shows students and researchers how to think critically about key topics such as experimental research, statistical inference, case studies, logical fallacies, and ethical judgments.

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Frontmatter pp i-iv

• Get access Check if you have access via personal or institutional login Log in Register

Contents pp v-vi

List of illustrations and tables pp vii-viii, list of contributors pp ix-x, preface pp xi-xii.

• By Robert J. Sternberg , Tufts University, Henry L. Roediger III , Washington University in St. Louis, Diane F. Halpern , Claremont McKenna College

1 - The Nature and Nurture of Critical Thinking pp 1-14

• By Diane F. Halpern , Claremont McKenna College

2 - Evaluating Experimental Research pp 15-36

• Critical Issues
• By Henry L. Roediger III , Washington University in St. Louis, David P. McCabe , Washington University in St. Louis

3 - Critical Thinking in Quasi-Experimentation pp 37-53

• By William R. Shadish , University of California – Merced

4 - Evaluating Surveys and Questionnaires pp 54-74

• By Norbert Schwarz , University of Michigan

5 - Critical Thinking in Designing and Analyzing Research pp 75-89

• By Robert J. Sternberg , Tufts University, Elena L. Grigorenko , Yale University

6 - The Case Study Perspective on Psychological Research pp 90-109

• By Randi Martin , Rice University, Rachel Hull , Rice University

7 - Informal Logical Fallacies pp 110-130

• By Jane Risen , Cornell University, Thomas Gilovich , Cornell University

8 - Designing Studies to Avoid Confounds pp 131-142

• By Kathleen B. McDermott , Washington University in St. Louis, Gregory E. Miller , University of British Columbia

9 - Evaluating Theories pp 143-159

• By Simon Dennis , University of Adelaide, Walter Kintsch , University of Colorado

10 - Not All Experiments Are Created Equal pp 160-176

• On Conducting and Reporting Persuasive Experiments
• By Christian H. Jordan , Wilfrid Laurier University, Mark P. Zanna , University of Waterloo

11 - Making Claims in Papers and Talks pp 177-195

• By Barbara A. Spellman , University of Virginia, Judy DeLoache , University of Virginia, Robert A. Bjork , University of California – Los Angeles

12 - Critical Thinking in Clinical Inference pp 196-215

• By Thomas F. Oltmanns , Washington University in St. Louis, E. David Klonsky , Stony Brook University

13 - Evaluating Parapsychological Claims pp 216-231

• By Ray Hyman , University of Oregon

14 - Why Would Anyone Do or Believe Such a Thing? pp 232-250

• A Social Influence Analysis
• By Anthony R. Pratkanis , University of California – Santa Cruz

15 - The Belief Machine pp 251-270

• By David J. Schneider , Rice University

16 - Critical Thinking and Ethics in Psychology pp 271-288

• By Celia B. Fisher , Fordham University, Adam L. Fried , Fordham University, Jessica K. Masty , Fordham University

17 - Critical Thinking in Psychology pp 289-296

• It Really Is Critical
• By Robert J. Sternberg , Tufts University

Author Index pp 297-304

Subject index pp 305-340, altmetric attention score, full text views.

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Master the 3 Basics of Critical Thinking

Critical thinking is a whole lot harder than it looks..

Posted March 15, 2023 | Reviewed by Vanessa Lancaster

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• Often, you don’t need to make important decisions based on your current judgment.
• Good decision-making is about being able to predict likely outcomes.

Critical thinking skills are incredibly valuable–among the most in-demand skills in nearly every labor market sector. They are so valuable and in demand because they are considered to be in relatively short supply. That’s because critical thinking is a whole lot harder than it looks.

Critical thinkers do not leap to conclusions. Instead, they take the time to consider various possibilities and do not become too attached to one point of view. They do not latch on to one solution. Rather, they know that most solutions are temporary and improve over time with new data. Critical thinkers are in the habit of distinguishing between reliable and unreliable sources. They carefully weigh the strengths of conflicting views and apply logical reasoning. Critical thinkers are, at once, open to the views of others and supremely independent in their judgments.

If you want to set yourself apart at your job or in the hiring process, these are the three elements of critical thinking to master.

1. Proactive Learning

Here’s why you should care about proactive learning: Of course, the more you learn, the more you will know. But there is more to it than that: All the leading research shows that the very act of learning also strengthens your mind. If you are not actively learning, your mind is weakening—just like any muscle. No matter how smart you are, if you are not actively learning, you steadily lose those smarts over time.

The best way to build strong mental muscles is the same as physical ones: exercise them regularly. That means studying information, practicing technique, and contemplating multiple competing perspectives:

• Stored knowledge is the result of studying good information.
• Stored skills are the result of practicing good technique.
• Stored wisdom is the result of contemplating multiple competing good perspectives.

“Good technique,” in the case of non-physical skills, means keeping an open mind. That means suspending judgment, questioning assumptions, and continually seeking the best new information, technique, and perspective.

2. Problem-Solving

In today’s information environment, so many answers to so many questions are available at the tip of their fingers. Many people today are simply not in the habit of truly thinking on their feet. Without a lot of experience puzzling through problems, it should be no surprise that many people are often puzzled when encountering unanticipated problems.

Here’s the thing: Usually, you don’t need to make important decisions based on your current judgment. You are much better off if you can rely on the accumulated experience of the organization in which you are working.

Ready-made solutions are just best practices captured, turned into standard operating procedures, and deployed throughout the organization to employees for use as job aids. The most common is a simple checklist:

• If A happens, do B
• If C happens, do D
• If E happens, do F

What kind of job aids do you have at your disposal to deal with recurring problems? If you already have such job aids at your disposal, how can you better use them as learning tools?

And here’s the good news: By mastering these best practices, you will get better not only at solving the specific problems anticipated but also much better at solving unanticipated problems. By implementing specific step-by-step solutions to recurring problems, you will learn a lot about good problem-solving.

3. Decision-Making

Decision-making is not the same as sheer brain power, mental capacity, or natural intelligence . It’s not a matter of accumulated knowledge or memorized information. It is more than the mastery of techniques and tools.

Good decision-making is about predicting likely outcomes–the ability to see the connections between cause and effect–to project out the consequences of one set of events and actions instead of another. The irony is that learning from the past is the only way to develop that “go forward” ability to predict the future.

But experience alone does not teach good decision-making. The key to learning from experience is paying close attention and aggressively drawing lessons from one’s experiences. If you can begin to see the patterns in causes and their effects, you can start thinking ahead with insight. Ultimately, that’s the key to better decision-making.

Bruce Tulgan, JD, is the founder and CEO of RainmakerThinking and the author of The Art of Being Indispensable at Work.

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