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An Evaluative Review of Barriers to Critical Thinking in Educational and Real-World Settings

Associated data.

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Though a wide array of definitions and conceptualisations of critical thinking have been offered in the past, further elaboration on some concepts is required, particularly with respect to various factors that may impede an individual’s application of critical thinking, such as in the case of reflective judgment. These barriers include varying levels of epistemological engagement or understanding, issues pertaining to heuristic-based thinking and intuitive judgment, as well as emotional and biased thinking. The aim of this review is to discuss such barriers and evaluate their impact on critical thinking in light of perspectives from research in an effort to reinforce the ‘completeness’ of extant critical thinking frameworks and to enhance the potential benefits of implementation in real-world settings. Recommendations and implications for overcoming such barriers are also discussed and evaluated.

1. Introduction

Critical thinking (CT) is a metacognitive process—consisting of a number of skills and dispositions—that, through purposeful, self-regulatory reflective judgment, increases the chances of producing a logical solution to a problem or a valid conclusion to an argument ( Dwyer 2017 , 2020 ; Dwyer et al. 2012 , 2014 , 2015 , 2016 ; Dwyer and Walsh 2019 ; Quinn et al. 2020 ).

CT has long been identified as a desired outcome of education ( Bezanilla et al. 2019 ; Butler et al. 2012 ; Dwyer 2017 ; Ennis 2018 ), given that it facilitates a more complex understanding of information ( Dwyer et al. 2012 ; Halpern 2014 ), better judgment and decision-making ( Gambrill 2006 ) and less dependence on cognitive bias and heuristic thinking ( Facione and Facione 2001 ; McGuinness 2013 ). A vast body of research (e.g., Dwyer et al. 2012 ; Gadzella 1996 ; Hitchcock 2004 ; Reed and Kromrey 2001 ; Rimiene 2002 ; Solon 2007 ), including various meta-analyses (e.g., Abrami et al. 2008 , 2015 ; Niu et al. 2013 ; Ortiz 2007 ), indicates that CT can be enhanced through targeted, explicit instruction. Though CT can be taught in domain-specific areas, its domain-generality means that it can be taught across disciplines and in relation to real-world scenarios ( Dwyer 2011 , 2017 ; Dwyer and Eigenauer 2017 ; Dwyer et al. 2015 ; Gabennesch 2006 ; Halpern 2014 ). Indeed, the positive outcomes associated with CT transcend educational settings into real-world, everyday situations, which is important because CT is necessary for a variety of social and interpersonal contexts where good decision-making and problem-solving are needed on a daily basis ( Ku 2009 ). However, regardless of domain-specificity or domain-generality of instruction, the transferability of CT application has been an issue in CT research (e.g., see Dumitru 2012 ). This is an important consideration because issues with transferability—for example, in real-world settings—may imply something lacking in CT instruction.

In light of the large, aforementioned body of research focusing on enhancing CT through instruction, a growing body of research has also evaluated the manner in which CT instruction is delivered (e.g., Abrami et al. 2008 , 2015 ; Ahern et al. 2019 ; Cáceres et al. 2020 ; Byerly 2019 ; Dwyer and Eigenauer 2017 ), along with additional considerations for and the barriers to such education, faced by teachers and students alike (e.g., Aliakbari and Sadeghdaghighi 2013 ; Cáceres et al. 2020 ; Cornell et al. 2011 ; Lloyd and Bahr 2010 ; Ma and Liu 2022 ; Ma and Luo 2021 ; Rear 2019 ; Saleh 2019 ); for example, those regarding conceptualisation, beliefs about CT, having feasible time for CT application and CT’s aforementioned transferability. However, there is a significant lack of research investigating barriers to CT application by individuals in real-world settings, even by those who have enjoyed benefits from previous CT instruction. Thus, perhaps the previously conjectured ‘something lacking in CT instruction’ refers to, in conjunction with the teaching of what CT consists of, making clear to students what barriers to CT application we face.

Simply, CT instruction is designed in such a way as to enhance the likelihood of positive decision-making outcomes. However, there are a variety of barriers that can impede an individual’s application of CT, regardless of past instruction with respect to ‘how to conduct CT’. For example, an individual might be regarded as a ‘critical thinker’ because they apply it in a vast majority of appropriate scenarios, but that does not ensure that they apply CT in all such appropriate scenarios. What keeps them from applying CT in those scenarios might well be one of a number of barriers to CT that often go unaddressed in CT instruction, particularly if such instruction is exclusively focused on skills and dispositions. Perhaps too much focus is placed on what educators are teaching their students to do in their CT courses as opposed to what educators should be recommending their students to look out for or advising what they should not be doing. That is, perhaps just as important for understanding what CT is and how it is conducted (i.e., knowing what to do) is a genuine awareness of the various factors and processes that can impede CT; and so, for an individual to think critically, they must know what to look out for and be able to monitor for such barriers to CT application.

To clarify, thought has not changed regarding what CT is or the cognitive/metacognitive processes at its foundation (e.g., see Dwyer 2017 ; Dwyer et al. 2014 ; Ennis 1987 , 1996 , 1998 ; Facione 1990 ; Halpern 2014 ; Paul 1993 ; Paul and Elder 2008 ); rather, additional consideration of issues that have potential to negatively impact CT is required, such as those pertaining to epistemological engagement; intuitive judgment; as well as emotional and biased thinking. This notion has been made clear through what might be perceived of as a ‘loud shout’ for CT over at least the past 10–15 years in light of growing political, economic, social, and health-related concerns (e.g., ‘fake news’, gaps between political views in the general population, various social movements and the COVID-19 pandemic). Indeed, there is a dearth of research on barriers to CT ( Haynes et al. 2016 ; Lloyd and Bahr 2010 ; Mangena and Chabeli 2005 ; Rowe et al. 2015 ). As a result, this evaluative perspective review aims to provide an impetus for updating the manner in which CT education is approached and, perhaps most importantly, applied in real-world settings—through further identifying and elaborating on specific barriers of concern in order to reinforce the ‘completeness’ of extant CT frameworks and to enhance the potential benefits of their implementation 1 .

2. Barriers to Critical Thinking

2.1. inadequate skills and dispositions.

In order to better understand the various barriers to CT that will be discussed, the manner in which CT is conceptualised must first be revisited. Though debate over its definition and what components are necessary to think critically has existed over the 80-plus years since the term’s coining (i.e., Glaser 1941 ), it is generally accepted that CT consists of two main components: skills and dispositions ( Dwyer 2017 ; Dwyer et al. 2012 , 2014 ; Ennis 1996 , 1998 ; Facione 1990 ; Facione et al. 2002 ; Halpern 2014 ; Ku and Ho 2010a ; Perkins and Ritchhart 2004 ; Quinn et al. 2020 ). CT skills—analysis, evaluation, and inference—refer to the higher-order, cognitive, ‘task-based’ processes necessary to conduct CT (e.g., see Dwyer et al. 2014 ; Facione 1990 ). CT dispositions have been described as inclinations, tendencies, or willingness to perform a given thinking skill (e.g., see Dwyer et al. 2016 ; Siegel 1999 ; Valenzuela et al. 2011 ), which may relate to attitudinal and intellectual habits of thinking, as well as motivational processes ( Ennis 1996 ; Norris 1994 ; Paul and Elder 2008 ; Perkins et al. 1993 ; Valenzuela et al. 2011 ). The relationship between CT skills and dispositions has been argued to be mutually dependent. As a result, overemphasising or encouraging the development of one over the other is a barrier to CT as a whole. Though this may seem obvious, it remains the case that CT instruction often places added emphasis on skills simply because they can be taught (though that does not ensure that everyone has or will be taught such skills), whereas dispositions are ‘trickier’ (e.g., see Dwyer 2017 ; Ku and Ho 2010a ). That is, it is unlikely that simply ‘teaching’ students to be motivated towards CT or to value it over short-instructional periods will actually meaningfully enhance it. Moreover, debate exists over how best to train disposition or even measure it. With that, some individuals might be more ‘inherently’ disposed to CT in light of their truth-seeking, open-minded, or inquisitive natures ( Facione and Facione 1992 ; Quinn et al. 2020 ). The barrier, in this context, is how we can enhance the disposition of those who are not ‘inherently’ inclined. For example, though an individual may possess the requisite skills to conduct CT, it does not ensure the tendency or willingness to apply them; and conversely, having the disposition to apply CT does not mean that one has the ability to do so ( Valenzuela et al. 2011 ). Given the pertinence of CT skills and dispositions to the application of CT in a broader sense, inadequacies in either create a barrier to application.

2.2. Epistemological (Mis)Understanding

To reiterate, most extant conceptualisations of CT focus on the tandem working of skills and dispositions, though significantly fewer emphasise the reflective judgment aspect of CT that might govern various associated processes ( Dawson 2008 ; Dwyer 2017 ; Dwyer et al. 2014 , 2015 ; King and Kitchener 1994 , 2004 ; Stanovich and Stanovich 2010 ). Reflective judgment (RJ) refers to a self-regulatory process of decision-making, with respect to taking time to engage one’s understanding of the nature, limits, and certainty of knowing and how this can affect the defense of their reasoning ( Dwyer 2017 ; King and Kitchener 1994 ; Ku and Ho 2010b ). The ability to metacognitively ‘think about thinking’ ( Flavell 1976 ; Ku and Ho 2010b ) in the application of critical thinking skills implies a reflective sensibility consistent with epistemological understanding and the capacity for reflective judgement ( Dwyer et al. 2015 ; King and Kitchener 1994 ). Acknowledging levels of (un)certainty is important in CT because the information a person is presented with (along with that person’s pre-existing knowledge) often provides only a limited source of information from which to draw a conclusion. Thus, RJ is considered a component of CT ( Baril et al. 1998 ; Dwyer et al. 2015 ; Huffman et al. 1991 ) because it allows one to acknowledge that epistemological understanding is necessary for recognising and judging a situation in which CT may be required ( King and Kitchener 1994 ). For example, the interdependence between RJ and CT can be seen in the way that RJ influences the manner in which CT skills like analysis and evaluation are conducted or the balance and perspective within the subsequent inferences drawn ( Dwyer et al. 2015 ; King et al. 1990 ). Moreover, research suggests that RJ development is not a simple function of age or time but more so a function of the amount of active engagement an individual has working in problem spaces that require CT ( Brabeck 1981 ; Dawson 2008 ; Dwyer et al. 2015 ). The more developed one’s RJ, the better able one is to present “a more complex and effective form of justification, providing more inclusive and better integrated assumptions for evaluating and defending a point of view” ( King and Kitchener 1994, p. 13 ).

Despite a lesser focus on RJ, research indicates a positive relationship between it and CT ( Baril et al. 1998 ; Brabeck 1981 ; Dawson 2008 ; Dwyer et al. 2015 ; Huffman et al. 1991 ; King et al. 1990 )—the understanding of which is pertinent to better understanding the foundation to CT barriers. For example, when considering one’s proficiency in CT skills, there might come a time when the individual becomes so good at using them that their application becomes something akin to ‘second nature’ or even ‘automatic’. However, this creates a contradiction: automatic thinking is largely the antithesis of reflective judgment (even though judgment is never fully intuitive or reflective; see Cader et al. 2005 ; Dunwoody et al. 2000 ; Hamm 1988 ; Hammond 1981 , 1996 , 2000 )—those who think critically take their time and reflect on their decision-making; even if the solution/conclusion drawn from the automatic thinking is ‘correct’ or yields a positive outcome, it is not a critically thought out answer, per se. Thus, no matter how skilled one is at applying CT skills, once the application becomes primarily ‘automatic’, the thinking ceases to be critical ( Dwyer 2017 )—a perspective consistent with Dual Process Theory (e.g., Stanovich and West 2000 ). Indeed, RJ acts as System 2 thinking ( Stanovich and West 2000 ): it is slow, careful, conscious, and consistent ( Kahneman 2011 ; Hamm 1988 ); it is associated with high cognitive control, attention, awareness, concentration, and complex computation ( Cader et al. 2005 ; Kahneman 2011 ; Hamm 1988 ); and accounts for epistemological concerns—consistent not only with King and Kitchener’s ( 1994 ) conceptualisation but also Kuhn’s ( 1999 , 2000 ) perspective on metacognition and epistemological knowing . This is where RJ comes into play as an important component of CT—interdependent among the requisite skills and dispositions ( Baril et al. 1998 ; Dwyer et al. 2015 )—it allows one to acknowledge that epistemological understanding is vital to recognising and judging a situation in which CT is required ( King and Kitchener 1994 ). With respect to the importance of epistemological understanding, consider the following examples for elaboration.

The primary goal of CT is to enhance the likelihood of generating reasonable conclusions and/or solutions. Truth-seeking is a CT disposition fundamental to the attainment of this goal ( Dwyer et al. 2016 ; Facione 1990 ; Facione and Facione 1992 ) because if we just applied any old nonsense as justification for our arguments or solutions, they would fail in the application and yield undesirable consequences. Despite what may seem like truth-seeking’s obvious importance in this context, all thinkers succumb to unwarranted assumptions on occasion (i.e., beliefs presumed to be true without adequate justification). It may also seem obvious, in context, that it is important to be able to distinguish facts from beliefs. However, the concepts of ‘fact’ or ‘truth’, with respect to how much empirical support they have to validate them, also require consideration. For example, some might conceptualise truth as factual information or information that has been or can be ‘proven’ true. Likewise, ‘proof’ is often described as evidence establishing a fact or the truth of a statement—indicating a level of absolutism. However, the reality is that we cannot ‘prove’ things—as scientists and researchers well know—we can only disprove them, such as in experimental settings where we observe a significant difference between groups on some measure—we do not prove the hypothesis correct, rather, we disprove the null hypothesis. This is why, in large part, researchers and scientists use cautious language in reporting their results. We know the best our findings can do is reinforce a theory—another concept often misconstrued in the wider population as something like a hypothesis, as opposed to what it actually entails: a robust model for how and/or why a given phenomenon might occur (e.g., gravity). Thus, theories will hold ‘true’ until they are falsified—that is, disproven (e.g., Popper [1934] 1959 , 1999 ).

Unfortunately, ‘proof’, ‘prove’, and ‘proven’—words that ensure certainty to large populations—actually disservice the public in subtle ways that can hinder CT. For example, a company that produces toothpaste might claim its product to be ‘clinically proven’ to whiten teeth. Consumers purchasing that toothpaste are likely to expect to have whiter teeth after use. However, what happens—as often may be the case—if it does not whiten their teeth? The word ‘proven’ implies a false claim in context. Of course, those in research understand that the word’s use is a marketing ploy, given that ‘clinically proven’ sounds more reassuring to consumers than ‘there is evidence to suggest…’; but, by incorrectly using words like ‘proven’ in our daily language, we reinforce a misunderstanding of what it means to assess, measure and evaluate—particularly from a scientific standpoint (e.g., again, see Popper [1934] 1959 , 1999 ).

Though this example may seem like a semantic issue, it has great implications for CT in the population. For example, a vast majority of us grew up being taught the ‘factual’ information that there were nine planets in our solar system; then, in 2006, Pluto was reclassified as a dwarf planet—no longer being considered a ‘major’ planet of our solar system. As a result, we now have eight planets. This change might be perceived in two distinct ways: (1) ‘science is amazing because it’s always developing—we’ve now reached a stage where we know so much about the solar system that we can differentiate celestial bodies to the extent of distinguishing planets from dwarf planets’; and (2) ‘I don’t understand why these scientists even have jobs, they can’t even count planets’. The first perspective is consistent with that of an individual with epistemological understanding and engagement that previous understandings of models and theories can change, not necessarily because they were wrong, but rather because they have been advanced in light of gaining further credible evidence. The second perspective is consistent with that of someone who has failed to engage epistemological understanding, who does not necessarily see that the change might reflect progress, who might be resistant to change, and who might grow in distrust of science and research in light of these changes. The latter point is of great concern in the CT research community because the unwarranted cynicism and distrust of science and research, in context, may simply reflect a lack of epistemological understanding or engagement (e.g., to some extent consistent with the manner in which conspiracy theories are developed, rationalised and maintained (e.g., Swami and Furnham 2014 )). Notably, this should also be of great concern to education departments around the world, as well as society, more broadly speaking.

Upon considering epistemological engagement in more practical, day-to-day scenarios (or perhaps a lack thereof), we begin to see the need for CT in everyday 21st-century life—heightened by the ‘new knowledge economy’, which has resulted in exponential increases in the amount of information made available since the late 1990s (e.g., Darling-Hammond 2008 ; Dwyer 2017 ; Jukes and McCain 2002 ; Varian and Lyman 2003 ). Though increased amounts of and enhanced access to information are largely good things, what is alarming about this is how much of it is misinformation or disinformation ( Commission on Fake News and the Teaching of Critical Literacy in Schools 2018 ). Truth be told, the new knowledge economy is anything but ‘new’ anymore. Perhaps, over the past 10–15 years, there has been an increase in the need for CT above and beyond that seen in the ‘economy’s’ wake—or maybe ever before; for example, in light of the social media boom, political unrest, ‘fake news’, and issues regarding health literacy. The ‘new’ knowledge economy has made it so that knowledge acquisition, on its own, is no longer sufficient for learning—individuals must be able to work with and adapt information through CT in order to apply it appropriately ( Dwyer 2017 ).

Though extant research has addressed the importance of epistemological understanding for CT (e.g., Dwyer et al. 2014 ), it does not address how not engaging it can substantially hinder it—regardless of how skilled or disposed to think critically an individual may be. Notably, this is distinct from ‘inadequacies’ in, say, memory, comprehension, or other ‘lower-order’ cognitively-associated skills required for CT ( Dwyer et al. 2014 ; Halpern 2014 ; see, again, Note 1) in that reflective judgment is essentially a pole on a cognitive continuum (e.g., see Cader et al. 2005 ; Hamm 1988 ; Hammond 1981 , 1996 , 2000 ). Cognitive Continuum Theory postulates a continuum of cognitive processes anchored by reflective judgment and intuitive judgment, which represents how judgment situations or tasks relate to cognition, given that thinking is never purely reflective, nor is it completely intuitive; rather, it rests somewhere in between ( Cader et al. 2005 ; Dunwoody et al. 2000 ). It is also worth noting that, in Cognitive Continuum Theory, neither reflective nor intuitive judgment is assumed, a priori, to be superior ( Dunwoody et al. 2000 ), despite most contemporary research on judgment and decision-making focusing on the strengths of RJ and limitations associated with intuitive judgment ( Cabantous et al. 2010 ; Dhami and Thomson 2012 ; Gilovich et al. 2002 ). Though this point regarding superiority is acknowledged and respected (particularly in non-CT cases where it is advantageous to utilise intuitive judgment), in the context of CT, it is rejected in light of the example above regarding the automaticity of thinking skills.

2.3. Intuitive Judgment

The manner in which human beings think and the evolution of which, over millions of years, is a truly amazing thing. Such evolution has made it so that we can observe a particular event and make complex computations regarding predictions, interpretations, and reactions in less than a second (e.g., Teichert et al. 2014 ). Unfortunately, we have become so good at it that we often over-rely on ‘fast’ thinking and intuitive judgments that we have become ‘cognitively lazy’, given the speed at which we can make decisions with little energy ( Kahneman 2011 ; Simon 1957 ). In the context of CT, this ‘lazy’ thinking is an impediment (as in opposition to reflective judgment). For example, consider a time in which you have been presented numeric data on a topic, and you instantly aligned your perspective with what the ‘numbers indicate’. Of course, numbers do not lie… but people do—that is not to say that the person who initially interpreted and then presented you with those numbers is trying to disinform you; rather, the numbers presented might not tell the full story (i.e., the data are incomplete or inadequate, unbeknownst to the person reporting on them); and thus, there might be alternative interpretations to the data in question. With that, there most certainly are individuals who will wish to persuade you to align with their perspective, which only strengthens the impetus for being aware of intuitive judgment as a barrier. Consider another example: have you ever accidentally insulted someone at work, school, or in a social setting? Was it because the statement you made was based on some kind of assumption or stereotype? It may have been an honest mistake, but if a statement is made based on what one thinks they know, as opposed to what they actually know about the situation—without taking the time to recognise that all situations are unique and that reflection is likely warranted in light of such uncertainty—then it is likely that the schema-based ‘intuitive judgment’ is what is a fault here.

Our ability to construct schemas (i.e., mental frameworks for how we interpret the world) is evolutionarily adaptive in that these scripts allow us to: make quick decisions when necessary and without much effort, such as in moments of impending danger, answer questions in conversation; interpret social situations; or try to stave off cognitive load or decision fatigue ( Baumeister 2003 ; Sweller 2010 ; Vohs et al. 2014 ). To reiterate, research in the field of higher-order thinking often focuses on the failings of intuitive judgment ( Dwyer 2017 ; Hamm 1988 ) as being limited, misapplied, and, sometimes, yielding grossly incorrect responses—thus, leading to faulty reasoning and judgment as a result of systematic biases and errors ( Gilovich et al. 2002 ; Kahneman 2011 ; Kahneman et al. 1982 ; Slovic et al. 1977 ; Tversky and Kahneman 1974 ; in terms of schematic thinking ( Leventhal 1984 ), system 1 thinking ( Stanovich and West 2000 ; Kahneman 2011 ), miserly thinking ( Stanovich 2018 ) or even heuristics ( Kahneman and Frederick 2002 ; Tversky and Kahneman 1974 ). Nevertheless, it remains that such protocols are learned—not just through experience (as discussed below), but often through more ‘academic’ means. For example, consider again the anecdote above about learning to apply CT skills so well that it becomes like ‘second nature’. Such skills become a part of an individual’s ‘mindware’ ( Clark 2001 ; Stanovich 2018 ; Stanovich et al. 2016 ) and, in essence, become heuristics themselves. Though their application requires RJ for them to be CT, it does not mean that the responses yielded will be incorrect.

Moreover, despite the descriptions above, it would be incorrect, and a disservice to readers to imply that RJ is always right and intuitive judgment is always wrong, especially without consideration of the contextual issues—both intuitive and reflective judgments have the potential to be ‘correct’ or ‘incorrect’ with respect to validity, reasonableness or appropriateness. However, it must also be acknowledged that there is a cognitive ‘miserliness’ to depending on intuitive judgment, in which case, the ability to detect and override this dependence ( Stanovich 2018 )—consistent with RJ, is of utmost importance if we care about our decision-making. That is, if we care about our CT (see below for a more detailed discussion), we must ignore the implicit ‘noise’ associated with the intuitive judgment (regardless of whether or not it is ‘correct’) and, instead, apply the necessary RJ to ensure, as best we can, that the conclusion or solution is valid, reasonable or appropriate.

Although, such a recommendation is much easier said than done. One problem with relying on mental shortcuts afforded by intuition and heuristics is that they are largely experience-based protocols. Though that may sound like a positive thing, using ‘experience’ to draw a conclusion in a task that requires CT is erroneous because it essentially acts as ‘research’ based on a sample size of one; and so, ‘findings’ (i.e., one’s conclusion) cannot be generalised to the larger population—in this case, other contexts or problem-spaces ( Dwyer 2017 ). Despite this, we often over-emphasise the importance of experience in two related ways. First, people have a tendency to confuse experience for expertise (e.g., see the Dunning–KrugerEffect (i.e., the tendency for low-skilled individuals to overestimate their ability in tasks relevant to said skill and highly skilled individuals to underestimate their ability in tasks relevant to said skills); see also: ( Kruger and Dunning 1999 ; Mahmood 2016 ), wherein people may not necessarily be expert, rather they may just have a lot of experience completing a task imperfectly or wrong ( Dwyer and Walsh 2019 ; Hammond 1996 ; Kahneman 2011 ). Second, depending on the nature of the topic or problem, people often evaluate experience on par with research evidence (in terms of credibility), given its personalised nature, which is reinforced by self-serving bias(es).

When evaluating topics in domains wherein one lacks expertise, the need for intellectual integrity and humility ( Paul and Elder 2008 ) in their RJ is increased so that the individual may assess what knowledge is required to make a critically considered judgment. However, this is not necessarily a common response to a lack of relevant knowledge, given that when individuals are tasked with decision-making regarding a topic in which they do not possess relevant knowledge, these individuals will generally rely on emotional cues to inform their decision-making (e.g., Kahneman and Frederick 2002 ). Concerns here are not necessarily about the lack of domain-specific knowledge necessary to make an accurate decision, but rather the (1) belief of the individual that they have the knowledge necessary to make a critically thought-out judgment, even when this is not the case—again, akin to the Dunning–Kruger Effect ( Kruger and Dunning 1999 ); or (2) lack of willingness (i.e., disposition) to gain additional, relevant topic knowledge.

One final problem with relying on experience for important decisions, as alluded to above, is that when experience is engaged, it is not necessarily an objective recollection of the procedure. It can be accompanied by the individual’s beliefs, attitudes, and feelings—how that experience is recalled. The manner in which an individual draws on their personal experience, in light of these other factors, is inherently emotion-based and, likewise, biased (e.g., Croskerry et al. 2013 ; Loftus 2017 ; Paul 1993 ).

2.4. Bias and Emotion

Definitions of CT often reflect that it is to be applied to a topic, argument, or problem of importance that the individual cares about ( Dwyer 2017 ). The issue of ‘caring’ is important because it excludes judgment and decision-making in day-to-day scenarios that are not of great importance and do not warrant CT (e.g., ‘what colour pants best match my shirt’ and ‘what to eat for dinner’); again, for example, in an effort to conserve time and cognitive resources (e.g., Baumeister 2003 ; Sweller 2010 ). However, given that ‘importance’ is subjective, it essentially boils down to what one cares about (e.g., issues potentially impactful in one’s personal life; topics of personal importance to the individual; or even problems faced by an individual’s social group or work organisation (in which case, care might be more extrinsically-oriented). This is arguably one of the most difficult issues to resolve in CT application, given its contradictory nature—where it is generally recommended that CT should be conducted void of emotion and bias (as much as it can be possible), at the same time, it is also recommended that it should only be applied to things we care about. As a result, the manner in which care is conceptualised requires consideration. For example, in terms of CT, care can be conceptualised as ‘concern or interest; the attachment of importance to a person, place, object or concept; and serious attention or consideration applied to doing something correctly or to avoid damage or risk’; as opposed to some form of passion (e.g., intense, driving or over-powering feeling or conviction; emotions as distinguished from reason; a strong liking or desire for or devotion to some activity, object or concept). In this light, care could be argued as more of a dispositional or self-regulatory factor than emotional bias; thus, making it useful to CT. Though this distinction is important, the manner in which care is labeled does not lessen the potential for biased emotion to play a role in the thinking process. For example, it has been argued that if one cares about the decision they make or the conclusion they draw, then the individual will do their best to be objective as possible ( Dwyer 2017 ). However, it must also be acknowledged that this may not always be the case or even completely feasible (i.e., how can any decision be fully void of emotional input? )—though one may strive to be as objective as possible, such objectivity is not ensured given that implicit bias may infiltrate their decision-making (e.g., taking assumptions for granted as facts in filling gaps (unknowns) in a given problem-space). Consequently, such implicit biases may be difficult to amend, given that we may not be fully aware of them at play.

With that, explicit biases are just as concerning, despite our awareness of them. For example, the more important an opinion or belief is to an individual, the greater the resistance to changing their mind about it ( Rowe et al. 2015 ), even in light of evidence indicating the contrary ( Tavris and Aronson 2007 ). In some cases, the provision of information that corrects the flawed concept may even ‘backfire’ and reinforce the flawed or debunked stance ( Cook and Lewandowsky 2011 ). This cognitive resistance is an important barrier to CT to consider for obvious reasons—as a process; it acts in direct opposition to RJ, the skill of evaluation, as well as a number of requisite dispositions towards CT, including truth-seeking and open-mindedness (e.g., Dwyer et al. 2014 , 2016 ; Facione 1990 ); and at the same time, yields important real-world impacts (e.g., see Nyhan et al. 2014 ).

The notion of emotion impacting rational thought is by no means a novel concept. A large body of research indicates a negative impact of emotion on decision-making (e.g., Kahneman and Frederick 2002 ; Slovic et al. 2002 ; Strack et al. 1988 ), higher-order cognition ( Anticevic et al. 2011 ; Chuah et al. 2010 ; Denkova et al. 2010 ; Dolcos and McCarthy 2006 ) and cognition, more generally ( Iordan et al. 2013 ; Johnson et al. 2005 ; Most et al. 2005 ; Shackman et al. 2006 ) 2 . However, less attention has specifically focused on emotion’s impact on the application of critical thought. This may be a result of assumptions that if a person is inclined to think critically, then what is yielded will typically be void of emotion—which is true to a certain extent. However, despite the domain generality of CT ( Dwyer 2011 , 2017 ; Dwyer and Eigenauer 2017 ; Dwyer et al. 2015 ; Gabennesch 2006 ; Halpern 2014 ), the likelihood of emotional control during the CT process remains heavily dependent on the topic of application. Consider again, for example; there is no guarantee that an individual who generally applies CT to important topics or situations will do so in all contexts. Indeed, depending on the nature of the topic or the problem faced, an individual’s mindware ( Clark 2001 ; Stanovich 2018 ; Stanovich et al. 2016 ; consistent with the metacognitive nature of CT) and the extent to which a context can evoke emotion in the thinker will influence what and how thinking is applied. As addressed above, if the topic is something to which the individual feels passionate, then it will more likely be a greater challenge for them to remain unbiased and develop a reasonably objective argument or solution.

Notably, self-regulation is an important aspect of both RJ and CT ( Dwyer 2017 ; Dwyer et al. 2014 ), and, in this context, it is difficult not to consider the role emotional intelligence might play in the relationship between affect and CT. For example, though there are a variety of conceptualisations of emotional intelligence (e.g., Bar-On 2006 ; Feyerherm and Rice 2002 ; Goleman 1995 ; Salovey and Mayer 1990 ; Schutte et al. 1998 ), the underlying thread among these is that, similar to the concept of self-regulation, emotional intelligence (EI) refers to the ability to monitor (e.g., perceive, understand and regulate) one’s own feelings, as well as those of others, and to use this information to guide relevant thinking and behaviour. Indeed, extant research indicates that there is a positive association between EI and CT (e.g., Afshar and Rahimi 2014 ; Akbari-Lakeh et al. 2018 ; Ghanizadeh and Moafian 2011 ; Kaya et al. 2017 ; Stedman and Andenoro 2007 ; Yao et al. 2018 ). To shed light upon this relationship, Elder ( 1997 ) addressed the potential link between CT and EI through her description of the latter as a measure of the extent to which affective responses are rationally-based , in which reasonable desires and behaviours emerge from such rationally-based emotions. Though there is extant research on the links between CT and EI, it is recommended that future research further elaborate on this relationship, as well as with other self-regulatory processes, in an effort to further establish the potentially important role that EI might play within CT.

3. Discussion

3.1. interpretations.

Given difficulties in the past regarding the conceptualisation of CT ( Dwyer et al. 2014 ), efforts have been made to be as specific and comprehensive as possible when discussing CT in the literature to ensure clarity and accuracy. However, it has been argued that such efforts have actually added to the complexity of CT’s conceptualisation and had the opposite effect on clarity and, perhaps, more importantly, the accessibility and practical usefulness for educators (and students) not working in the research area. As a result, when asked what CT is, I generally follow up the ‘long definition’, in light of past research, with a much simpler description: CT is akin to ‘playing devil’s advocate’. That is, once a claim is made, one should second-guess it in as many conceivable ways as possible, in a process similar to the Socratic Method. Through asking ‘why’ and conjecturing alternatives, we ask the individual—be it another person or even ourselves—to justify the decision-making. It keeps the thinker ‘honest’, which is particularly useful if we’re questioning ourselves. If we do not have justifiable reason(s) for why we think or intend to act in a particular way (above and beyond considered objections), then it should become obvious that we either missed something or we are biased. It is perhaps this simplified description of CT that gives such impetus for the aim of this review.

Whereas extant frameworks often discuss the importance of CT skills, dispositions, and, to a lesser extent, RJ and other self-regulatory functions of CT, they do so with respect to components of CT or processes that facilitate CT (e.g., motivation, executive functions, and dispositions), without fully encapsulating cognitive processes and other factors that may hinder it (e.g., emotion, bias, intuitive judgment and a lack of epistemological understanding or engagement). With that, this review is neither a criticism of existing CT frameworks nor is it to imply that CT has so many barriers that it cannot be taught well, nor does it claim to be a complete list of processes that can impede CT (see again Note 1). To reiterate, education in CT can yield beneficial effects ( Abrami et al. 2008 , 2015 ; Dwyer 2017 ; Dwyer and Eigenauer 2017 ); however, such efficacy may be further enhanced by presenting students and individuals interested in CT the barriers they are likely to face in its application; explaining how these barriers manifest and operate; and offer potential strategies for overcoming them.

3.2. Further Implications and Future Research

Though the barriers addressed here are by no means new to the arena of research in higher-order cognition, there is a novelty in their collated discussion as impactful barriers in the context of CT, particularly with respect to extant CT research typically focusing on introducing strategies and skills for enhancing CT, rather than identifying ‘preventative measures’ for barriers that can negatively impact CT. Nevertheless, future research is necessary to address how such barriers can be overcome in the context of CT. As addressed above, it is recommended that CT education include discussion of these barriers and encourage self-regulation against them; and, given the vast body of CT research focusing on enhancement through training and education, it seems obvious to make such a recommendation in this context. However, it is also recognised that simply identifying these barriers and encouraging people to engage in RJ and self-regulation to combat them may not suffice. For example, educators might very well succeed in teaching students how to apply CT skills , but just as these educators may not be able to motivate students to use them as often as they might be needed or even to value such skills (such as in attempting to elicit a positive disposition towards CT), it might be the case that without knowing about the impact of the discussed barriers to CT (e.g., emotion and/or intuitive judgment), students may be just as susceptible to biases in their attempts to think critically as others without CT skills. Thus, what such individuals might be applying is not CT at all; rather, just a series of higher-order cognitive skills from a biased or emotion-driven perspective. As a result, a genuine understanding of these barriers is necessary for individuals to appropriately self-regulate their thinking.

Moreover, though the issues of epistemological beliefs, bias, emotion, and intuitive processes are distinct in the manner in which they can impact CT, these do not have set boundaries; thus, an important implication is that they can overlap. For example, epistemological understanding can influence how individuals make decisions in real-world scenarios, such as through intuiting a judgment in social situations (i.e., without considering the nature of the knowledge behind the decision, the manner in which such knowledge interacts [e.g., correlation v. causation], the level of uncertainty regarding both the decision-maker’s personal stance and the available evidence), when a situation might actually require further consideration or even the honest response of ‘I don’t know’. The latter concept—that of simply responding ‘I don’t know’ is interesting to consider because though it seems, on the surface, to be inconsistent with CT and its outcomes, it is commensurate with many of its associated components (e.g., intellectual honesty and humility; see Paul and Elder 2008 ). In the context this example is used, ‘I don’t know’ refers to epistemological understanding. With that, it may also be impacted by bias and emotion. For example, depending on the topic, an individual may be likely to respond ‘I don’t know’ when they do not have the relevant knowledge or evidence to provide a sufficient answer. However, in the event that the topic is something the individual is emotionally invested in or feels passionate about, an opinion or belief may be shared instead of ‘I don’t know’ (e.g., Kahneman and Frederick 2002 ), despite a lack of requisite evidence-based knowledge (e.g., Kruger and Dunning 1999 ). An emotional response based on belief may be motivated in the sense that the individual knows that they do not know for sure and simply uses a belief to support their reasoning as a persuasive tool. On the other hand, the emotional response based on belief might be used simply because the individual may not know that the use of a belief is an insufficient means of supporting their perspective– instead, they might think that their intuitive, belief-based judgment is as good as a piece of empirical evidence; thus, suggesting a lack of empirical understanding. With that, it is fair to say that though epistemological understanding, intuitive judgment, emotion, and bias are distinct concepts, they can influence each other in real-world CT and decision-making. Though there are many more examples of how this might occur, the one presented may further support the recommendation that education can be used to overcome some of the negative effects associated with the barriers presented.

For example, in Ireland, students are not generally taught about academic referencing until they reach third-level education. Anecdotally, I was taught about referencing at age 12 and had to use it all the way through high school when I was growing up in New York. In the context of these referencing lessons, we were taught about the credibility of sources, as well as how analyse and evaluate arguments and subsequently infer conclusions in light of these sources (i.e., CT skills). We were motivated by our teacher to find the ‘truth’ as best we could (i.e., a fundament of CT disposition). Now, I recognise that this experience cannot be generalised to larger populations, given that I am a sample size of one, but I do look upon such education, perhaps, as a kind of transformative learning experience ( Casey 2018 ; King 2009 ; Mezirow 1978 , 1990 ) in the sense that such education might have provided a basis for both CT and epistemological understanding. For CT, we use research to support our positions, hence the importance of referencing. When a ‘reference’ is not available, one must ask if there is actual evidence available to support the proposition. If there is not, one must question the basis for why they think or believe that their stance is correct—that is, where there is logic to the reasoning or if the proposition is simply an emotion- or bias-based intuitive judgment. So, in addition to referencing, the teaching of some form of epistemology—perhaps early in children’s secondary school careers, might benefit students in future efforts to overcome some barriers to CT. Likewise, presenting examples of the observable impact that bias, emotions, and intuitive thought can have on their thinking might also facilitate overcoming these barriers.

As addressed above, it is acknowledged that we may not be able to ‘teach’ people not to be biased or emotionally driven in their thinking because it occurs naturally ( Kahneman 2011 )—regardless of how ‘skilled’ one might be in CT. For example, though research suggests that components of CT, such as disposition, can improve over relatively short periods of time (e.g., over the duration of a semester-long course; Rimiene 2002 ), less is known about how such components have been enhanced (given the difficulty often associated with trying to teach something like disposition ( Dwyer 2017 ); i.e., to reiterate, it is unlikely that simply ‘teaching’ (or telling) students to be motivated towards CT or to value it (or its associated concepts) will actually enhance it over short periods of time (e.g., semester-long training). Nevertheless, it is reasonable to suggest that, in light of such research, educators can encourage dispositional growth and provide opportunities to develop it. Likewise, it is recommended that educators encourage students to be aware of the cognitive barriers discussed and provide chances to engage in CT scenarios where such barriers are likely to play a role, thus, giving students opportunities to acknowledge the barriers and practice overcoming them. Moreover, making students aware of such barriers at younger ages—in a simplified manner, may promote the development of personal perspectives and approaches that are better able to overcome the discussed barriers to CT. This perspective is consistent with research on RJ ( Dwyer et al. 2015 ), in which it was recommended that such enhancement requires not only time to develop (be it over the course of a semester or longer) but is also a function of having increased opportunities to engage CT. In the possibilities described, individuals may learn both to overcome barriers to CT and from the positive outcomes of applying CT; and, perhaps, engage in some form of transformative learning ( Casey 2018 ; King 2009 ; Mezirow 1978 , 1990 ) that facilitates an enhanced ‘valuing’ of and motivation towards CT. For example, through growing an understanding of the nature of epistemology, intuitive-based thinking, emotion, bias, and the manner in which people often succumb to faulty reasoning in light of these, individuals may come to better understand the limits of knowledge, barriers to CT and how both understandings can be applied; thus, growing further appreciation of the process as it is needed.

To reiterate, research suggests that there may be a developmental trajectory above and beyond the parameters of a semester-long training course that is necessary to develop the RJ necessary to think critically and, likewise, engage an adequate epistemological stance and self-regulate against impeding cognitive processes ( Dwyer et al. 2015 ). Though such research suggests that such development may not be an issue of time, but rather the amount of opportunities to engage RJ and CT, there is a dearth of recommendations offered with respect to how this could be performed in practice. Moreover, the how and what regarding ‘opportunities for engagement’ requires further investigation as well. For example, does this require additional academic work outside the classroom in a formal manner, or does it require informal ‘exploration’ of the world of information on one’s own? If the latter, the case of motivational and dispositional levels once again comes into question; thus, even further consideration is needed. One way or another, future research efforts are necessary to identify how best to make individuals aware of barriers to CT, encourage them to self-regulate against them, and identify means of increasing opportunities to engage RJ and CT.

4. Conclusions

Taking heed that it is unnecessary to reinvent the CT wheel ( Eigenauer 2017 ), the aim of this review was to further elaborate on the processes associated with CT and make a valuable contribution to its literature with respect to conceptualisation—not just in light of making people explicitly aware of what it is, but also what it is not and how it can be impeded (e.g., through inadequate CT skills and dispositions; epistemological misunderstanding; intuitive judgment; as well as bias and emotion)—a perspective consistent with that of ‘constructive feedback’ wherein students need to know both what they are doing right and what they are doing wrong. This review further contributes to the CT education literature by identifying the importance of (1) engaging understanding of the nature, limits, and certainty of knowing as individuals traverse the landscape of evidence-bases in their research and ‘truth-seeking’; (2) understanding how emotions and biases can affect CT, regardless of the topic; (3) managing gut-level intuition until RJ has been appropriately engaged; and (4) the manner in which language is used to convey meaning to important and/or abstract concepts (e.g., ‘caring’, ‘proof’, causation/correlation, etc.). Consistent with the perspectives on research advancement presented in this review, it is acknowledged that the issues addressed here may not be complete and may themselves be advanced upon and updated in time; thus, future research is recommended and welcomed to improve and further establish our working conceptualisation of critical thinking, particularly in a real-world application.

Acknowledgments

The author would like to acknowledge, with great thanks and appreciation, John Eigenauer (Taft College) for his consult, review and advice regarding earlier versions of this manuscript.

Funding Statement

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Data availability statement, conflicts of interest.

The author declares no conflict of interest.

1 Notably, though inadequacies in cognitive resources (apart from those explicitly set within the conceptualisations of CT discussed; e.g., see Section 2.1 ) are acknowledged as impediments to one’s ability to apply CT (e.g., a lack of relevant background knowledge, as well as broader cognitive abilities and resources ( Dwyer 2017 ; Halpern 2014 ; Stanovich and Stanovich 2010 )), these will not be discussed as focus is largely restricted to issues of cognitive processes that ‘naturally’ act as barriers in their functioning. Moreover, such inadequacies may more so be issues of individual differences than ongoing issues that everyone , regardless of ability, would face in CT (e.g., the impact of emotion and bias). Nevertheless, it is recommended that future research further investigates the influence of such inadequacies in cognitive resources on CT.

2 There is also some research that suggests that emotion may mediate enhanced cognition ( Dolcos et al. 2011 , 2012 ). However, this discrepancy in findings may result from the types of emotion studied—such as task-relevant emotion and task-irrelevant emotion. The distinction between the two is important to consider in terms of, for example, the distinction between one’s general mood and feelings specific unto the topic under consideration. Though mood may play a role in the manner in which CT is conducted (e.g., making judgments about a topic one is passionate about may elicit positive or negative emotions that affect the thinker’s mood in some way), notably, this discussion focuses on task-relevant emotion and associated biases that negatively impact the CT process. This is also an important distinction because an individual may generally think critically about ‘important’ topics, but may fail to do so when faced with a cognitive task that requires CT with which the individual has a strong, emotional perspective (e.g., in terms of passion , as described above).

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OPINION article

Redefining critical thinking: teaching students to think like scientists.

\r\nRodney M. Schmaltz*

  • Department of Psychology, MacEwan University, Edmonton, AB, Canada

From primary to post-secondary school, critical thinking (CT) is an oft cited focus or key competency (e.g., DeAngelo et al., 2009 ; California Department of Education, 2014 ; Alberta Education, 2015 ; Australian Curriculum Assessment and Reporting Authority, n.d. ). Unfortunately, the definition of CT has become so broad that it can encompass nearly anything and everything (e.g., Hatcher, 2000 ; Johnson and Hamby, 2015 ). From discussion of Foucault, critique and the self ( Foucault, 1984 ) to Lawson's (1999) definition of CT as the ability to evaluate claims using psychological science, the term critical thinking has come to refer to an ever-widening range of skills and abilities. We propose that educators need to clearly define CT, and that in addition to teaching CT, a strong focus should be placed on teaching students how to think like scientists. Scientific thinking is the ability to generate, test, and evaluate claims, data, and theories (e.g., Bullock et al., 2009 ; Koerber et al., 2015 ). Simply stated, the basic tenets of scientific thinking provide students with the tools to distinguish good information from bad. Students have access to nearly limitless information, and the skills to understand what is misinformation or a questionable scientific claim is crucially important ( Smith, 2011 ), and these skills may not necessarily be included in the general teaching of critical thinking ( Wright, 2001 ).

This is an issue of more than semantics. While some definitions of CT include key elements of the scientific method (e.g., Lawson, 1999 ; Lawson et al., 2015 ), this emphasis is not consistent across all interpretations of CT ( Huber and Kuncel, 2016 ). In an attempt to provide a comprehensive, detailed definition of CT, the American Philosophical Association (APA), outlined six CT skills, 16 subskills, and 19 dispositions ( Facione, 1990 ). Skills include interpretation, analysis, and inference; dispositions include inquisitiveness and open-mindedness. 1 From our perspective, definitions of CT such as those provided by the APA or operationally defined by researchers in the context of a scholarly article (e.g., Forawi, 2016 ) are not problematic—the authors clearly define what they are referring to as CT. Potential problems arise when educators are using different definitions of CT, or when the banner of CT is applied to nearly any topic or pedagogical activity. Definitions such as those provided by the APA provide a comprehensive framework for understanding the multi-faceted nature of CT, however the definition is complex and may be difficult to work with at a policy level for educators, especially those who work primarily with younger students.

The need to develop scientific thinking skills is evident in studies showing that 55% of undergraduate students believe that a full moon causes people to behave oddly, and an estimated 67% of students believe creatures such as Bigfoot and Chupacabra exist, despite the lack of scientific evidence supporting these claims ( Lobato et al., 2014 ). Additionally, despite overwhelming evidence supporting the existence of anthropogenic climate change, and the dire need to mitigate its effects, many people still remain skeptical of climate change and its impact ( Feygina et al., 2010 ; Lewandowsky et al., 2013 ). One of the goals of education is to help students foster the skills necessary to be informed consumers of information ( DeAngelo et al., 2009 ), and providing students with the tools to think scientifically is a crucial component of reaching this goal. By focusing on scientific thinking in conjunction with CT, educators may be better able design specific policies that aim to facilitate the necessary skills students should have when they enter post-secondary training or the workforce. In other words, students should leave secondary school with the ability to rule out rival hypotheses, understand that correlation does not equal causation, the importance of falsifiability and replicability, the ability to recognize extraordinary claims, and use the principle of parsimony (e.g., Lett, 1990 ; Bartz, 2002 ).

Teaching scientific thinking is challenging, as people are vulnerable to trusting their intuitions and subjective observations and tend to prioritize them over objective scientific findings (e.g., Lilienfeld et al., 2012 ). Students and the public at large are prone to naïve realism, or the tendency to believe that our experiences and observations constitute objective reality ( Ross and Ward, 1996 ), when in fact our experiences and observations are subjective and prone to error (e.g., Kahneman, 2011 ). Educators at the post-secondary level tend to prioritize scientific thinking ( Lilienfeld, 2010 ), however many students do not continue on to a post-secondary program after they have completed high school. Further, students who are told they are learning critical thinking may believe they possess the skills to accurately assess the world around them. However, if they are not taught the specific skills needed to be scientifically literate, they may still fall prey to logical fallacies and biases. People tend to underestimate or not understand fallacies that can prevent them from making sound decisions ( Lilienfeld et al., 2001 ; Pronin et al., 2004 ; Lilienfeld, 2010 ). Thus, it is reasonable to think that a person who has not been adequately trained in scientific thinking would nonetheless consider themselves a strong critical thinker, and therefore would be even less likely consider his or her own personal biases. Another concern is that when teaching scientific thinking there is always the risk that students become overly critical or cynical (e.g., Mercier et al., 2017 ). By this, a student may be skeptical of nearly all findings, regardless of the supporting evidence. By incorporating and focusing on cognitive biases, instructors can help students understand their own biases, and demonstrate how the rigor of the scientific method can, at least partially, control for these biases.

Teaching CT remains controversial and confusing for many instructors ( Bensley and Murtagh, 2012 ). This is partly due to the lack of clarity in the definition of CT and the wide range of methods proposed to best teach CT ( Abrami et al., 2008 ; Bensley and Murtagh, 2012 ). For instance, Bensley and Spero (2014) found evidence for the effectiveness of direct approaches to teaching CT, a claim echoed in earlier research ( Abrami et al., 2008 ; Marin and Halpern, 2011 ). Despite their positive findings, some studies have failed to find support for measures of CT ( Burke et al., 2014 ) and others have found variable, yet positive, support for instructional methods ( Dochy et al., 2003 ). Unfortunately, there is a lack of research demonstrating the best pedagogical approaches to teaching scientific thinking at different grade levels. More research is needed to provide an empirically grounded approach to teach scientific thinking, and there is also a need to develop evidence based measures of scientific thinking that are grade and age appropriate. One approach to teaching scientific thinking may be to frame the topic in its simplest terms—the ability to “detect baloney” ( Sagan, 1995 ).

Sagan (1995) has promoted the tools necessary to recognize poor arguments, fallacies to avoid, and how to approach claims using the scientific method. The basic tenets of Sagan's argument apply to most claims, and have the potential to be an effective teaching tool across a range of abilities and ages. Sagan discusses the idea of a baloney detection kit, which contains the “tools” for skeptical thinking. The development of “baloney detection kits” which include age-appropriate scientific thinking skills may be an effective approach to teaching scientific thinking. These kits could include the style of exercises that are typically found under the banner of CT training (e.g., group discussions, evaluations of arguments) with a focus on teaching scientific thinking. An empirically validated kit does not yet exist, though there is much to draw from in the literature on pedagogical approaches to correcting cognitive biases, combatting pseudoscience, and teaching methodology (e.g., Smith, 2011 ). Further research is needed in this area to ensure that the correct, and age-appropriate, tools are part of any baloney detection kit.

Teaching Sagan's idea of baloney detection in conjunction with CT provides educators with a clear focus—to employ a pedagogical approach that helps students create sound and cogent arguments while avoiding falling prey to “baloney”. This is not to say that all of the information taught under the current banner of “critical thinking” is without value. In fact, many of the topics taught under the current approach of CT are important, even though they would not fit within the framework of some definitions of critical thinking. If educators want to ensure that students have the ability to be accurate consumers of information, a focus should be placed on including scientific thinking as a component of the science curriculum, as well as part of the broader teaching of CT.

Educators need to be provided with evidence-based approaches to teach the principles of scientific thinking. These principles should be taught in conjunction with evidence-based methods that mitigate the potential for fallacious reasoning and false beliefs. At a minimum, when students first learn about science, there should also be an introduction to the basics tenets of scientific thinking. Courses dedicated to promoting scientific thinking may also be effective. A course focused on cognitive biases, logical fallacies, and the hallmarks of scientific thinking adapted for each grade level may provide students with the foundation of solid scientific thinking skills to produce and evaluate arguments, and allow expansion of scientific thinking into other scholastic areas and classes. Evaluations of the efficacy of these courses would be essential, along with research to determine the best approach to incorporate scientific thinking into the curriculum.

If instructors know that students have at least some familiarity with the fundamental tenets of scientific thinking, the ability to expand and build upon these ideas in a variety of subject specific areas would further foster and promote these skills. For example, when discussing climate change, an instructor could add a brief discussion of why some people reject the science of climate change by relating this back to the information students will be familiar with from their scientific thinking courses. In terms of an issue like climate change, many students may have heard in political debates or popular culture that global warming trends are not real, or a “hoax” ( Lewandowsky et al., 2013 ). In this case, only teaching the data and facts may not be sufficient to change a student's mind about the reality of climate change ( Lewandowsky et al., 2012 ). Instructors would have more success by presenting students with the data on global warming trends as well as information on the biases that could lead some people reject the data ( Kowalski and Taylor, 2009 ; Lewandowsky et al., 2012 ). This type of instruction helps educators create informed citizens who are better able to guide future decision making and ensure that students enter the job market with the skills needed to be valuable members of the workforce and society as a whole.

By promoting scientific thinking, educators can ensure that students are at least exposed to the basic tenets of what makes a good argument, how to create their own arguments, recognize their own biases and those of others, and how to think like a scientist. There is still work to be done, as there is a need to put in place educational programs built on empirical evidence, as well as research investigating specific techniques to promote scientific thinking for children in earlier grade levels and develop measures to test if students have acquired the necessary scientific thinking skills. By using an evidence based approach to implement strategies to promote scientific thinking, and encouraging researchers to further explore the ideal methods for doing so, educators can better serve their students. When students are provided with the core ideas of how to detect baloney, and provided with examples of how baloney detection relates to the real world (e.g., Schmaltz and Lilienfeld, 2014 ), we are confident that they will be better able to navigate through the oceans of information available and choose the right path when deciding if information is valid.

Author Contribution

RS was the lead author and this paper, and both EJ and NW contributed equally.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

1. ^ There is some debate about the role of dispositional factors in the ability for a person to engage in critical thinking, specifically that dispositional factors may mitigate any attempt to learn CT. The general consensus is that while dispositional traits may play a role in the ability to think critically, the general skills to be a critical thinker can be taught ( Niu et al., 2013 ; Abrami et al., 2015 ).

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Keywords: scientific thinking, critical thinking, teaching resources, skepticism, education policy

Citation: Schmaltz RM, Jansen E and Wenckowski N (2017) Redefining Critical Thinking: Teaching Students to Think like Scientists. Front. Psychol . 8:459. doi: 10.3389/fpsyg.2017.00459

Received: 13 December 2016; Accepted: 13 March 2017; Published: 29 March 2017.

Reviewed by:

Copyright © 2017 Schmaltz, Jansen and Wenckowski. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rodney M. Schmaltz, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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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

Socrates

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.

articles on critical thinking in education

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.

“Effects of Educational Robotics on Kindergarteners’ Collaboration, Communication, Critical Thinking, and Creativity: A Meta-Analysis”

  • Published: 30 August 2024

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articles on critical thinking in education

  • Theodosios Sapounidis   ORCID: orcid.org/0000-0002-0763-2516 1 ,
  • Sophia Rapti   ORCID: orcid.org/0009-0003-4741-6572 1 &
  • Julie Vaiopoulou   ORCID: orcid.org/0000-0002-1936-7502 2  

Communication, collaboration, critical thinking, and creativity are regarded as core skills of the twenty-first century required to succeed in life and working frameworks. Meanwhile, new technologies have entered educational settings to facilitate children’s development of competencies. During the last decade, several studies have been conducted to investigate the potential impact of educational robotics on children’s skills. Yet, only a few have examined the promotion of communication, collaboration, critical thinking, and creativity from an early age with the means of real robots through quantitative analysis in educational settings. Thus, a gap in meta-analysis studies is identified in this research area. In this paper, 22 empirical articles out of 2141 records from four databases and two registers were employed. Additionally, 53 effect sizes involving 2192 participants emerging from the search were subjected to a meta-analysis investigating the effects of educational robotics on kindergarteners’ communication, collaboration, critical thinking, and creativity. The results showed that robots may enhance collaboration the most among young learners (effect size: 0.875) and may contribute to their communicative skills (effect size: 0.481). Additionally, their cognitive development might be improved by facilitating their critical thinking (effect size: 0.561), and creativity may be affected positively too (effect size: 0.511). Yet, moderator analysis indicated that further and long-lasting studies are required. Finally, extra training and support to educators about robotics learning are recommended.

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Sapounidis, T., Rapti, S. & Vaiopoulou, J. “Effects of Educational Robotics on Kindergarteners’ Collaboration, Communication, Critical Thinking, and Creativity: A Meta-Analysis”. J Sci Educ Technol (2024). https://doi.org/10.1007/s10956-024-10149-1

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Critical thinking definition

articles on critical thinking in education

Critical thinking, as described by Oxford Languages, is the objective analysis and evaluation of an issue in order to form a judgement.

Active and skillful approach, evaluation, assessment, synthesis, and/or evaluation of information obtained from, or made by, observation, knowledge, reflection, acumen or conversation, as a guide to belief and action, requires the critical thinking process, which is why it's often used in education and academics.

Some even may view it as a backbone of modern thought.

However, it's a skill, and skills must be trained and encouraged to be used at its full potential.

People turn up to various approaches in improving their critical thinking, like:

  • Developing technical and problem-solving skills
  • Engaging in more active listening
  • Actively questioning their assumptions and beliefs
  • Seeking out more diversity of thought
  • Opening up their curiosity in an intellectual way etc.

Is critical thinking useful in writing?

Critical thinking can help in planning your paper and making it more concise, but it's not obvious at first. We carefully pinpointed some the questions you should ask yourself when boosting critical thinking in writing:

  • What information should be included?
  • Which information resources should the author look to?
  • What degree of technical knowledge should the report assume its audience has?
  • What is the most effective way to show information?
  • How should the report be organized?
  • How should it be designed?
  • What tone and level of language difficulty should the document have?

Usage of critical thinking comes down not only to the outline of your paper, it also begs the question: How can we use critical thinking solving problems in our writing's topic?

Let's say, you have a Powerpoint on how critical thinking can reduce poverty in the United States. You'll primarily have to define critical thinking for the viewers, as well as use a lot of critical thinking questions and synonyms to get them to be familiar with your methods and start the thinking process behind it.

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The Open Minds Foundation

What Riots and Transphobia Teach Us About Critical Thinking

A reflective summary of global issues in the headlines and the need for critical thinking..

Posted August 29, 2024 | Reviewed by Michelle Quirk

  • Misinformation is fueling societal issues including civil unrest and riots.
  • Expecting governments and social media platforms to contain it is unrealistic.
  • Critical thinking can be the solution.

At the beginning of August, the United Kingdom was swept up by news of the fatal stabbing of three young girls at a dance class, ultimately culminating in race riots. Meanwhile, globally, Olympics mania was overshadowed by a wave of transphobia. Both were triggered by targeted disinformation campaigns, leading to widespread civil unrest and waves of hate. If nothing else, they highlight the urgent need to bring critical thinking education to the forefront of curricula, with a tangible focus on media literacy skills to dampen the wildfire spread of fake news sweeping social media platforms.

So, what happened?

Olympic boxer: Imane Khelif

A single punch that saw her opponent surrender after just 42 seconds, catapulted Algerian female boxer, Imane Khelif, into the second round of the preliminary welterweight. Commenting that she had “never been hit so hard in my life,” competitor Carini attracted the global spotlight onto the women’s boxing event, sparking a wave of transphobic attention to sweep social media, fuelled in large part by misinformation and targeted disinformation.

At the World Championships in March 2023, Khelif was disqualified from participating due to “medical reasons,” which were later published as a failed drug test for high levels of testosterone . The problem was, the test was conducted by the now-defunct IBA, and what’s more, the IBA drew the conclusion that elevated testosterone was a symptom of male chromosomes, despite no other evidence to support this conclusion. In short, the IBA declared Khelif a man, despite plenty of evidence to the contrary. Interestingly, the IBA, which had strong Russian links and some strange timings for several of their decisions, has since been stripped of its governing body status, in light of a lack of transparency and suspicion of corruption around several of its major dealings.

What followed was a flurry of misinformation and disinformation posts taking the IBA’s decision at face value, despite Khelif passing subsequent testing. The posts claimed Khelif was a man, transgender , with no right to compete. Calls to boycott the Olympics only fuelled the fire, and celebrities and influencers weighed in to offer "fair fights," condemn the Olympics, and ignite transphobic hatred, too. All against a woman, who has trained as a woman, fought (and lost) as a woman, and has a birth certificate registering her as a woman. It highlights the emotive danger of fake news.

Source: Fotokita / Getty Images Pro via Canva

Southport stabbings to race riots

Meanwhile, in the United Kingdom, the fatal stabbing of three young girls and the injuries of numerous adults hit the headlines, as a ferocious knife attack took place at a Taylor Swift–themed dance class. Initial motives for the attack were unclear, but the perpetrator—who we now know to be British-born 17-year-old Axel Rudakubana—has been charged with three counts of murder and 10 counts of attempted murder, in addition to possession of a bladed article.

A tragic event, and one that should have simply seen a community mourn, became even more heartrending, when far-right protestors clashed with police in Southport, after attacking a mosque. Perpetrator Rudakubana was not Muslim or a foreign national, nor did he have any connections to the mosque. Yet, a misinformation thread, originating in Pakistan and quickly spreading across far-right accounts and Channel3Now, misclaimed that the attacker was Muslim, an asylum seeker, a foreign national, and/or a refugee. It triggered far-right and national race riots, a tidal wave of racism , and an epidemic of civil unrest that was quickly condemned, but hard to contain. This, despite media coverage and the naming of Rudakubana as the attacker.

More than 1,000 arrests have now been made, including children as young as 11, and 100 people have been imprisoned. A journalist in Pakistan has also been charged with misinformation under misinformation laws in Pakistan, as a direct contributor to the unrest. While many argue that the attack merely created an excuse for far-right rioting, it nonetheless highlights the terrifying reality of misinformation spreading unchecked.

Source: Shaunl / Getty Images Signature via Canva

What can be done about it? The need for critical thinking

The fastest and most effective method of inoculating the population against misinformation and disinformation in all its forms is to teach and then practise critical thinking.

Critical thinking is a deliberate thought process used to evaluate information. It means specifically and intentionally examining information to determine its validity and relevance. It is an essential skill in improving your cognitive processes but, importantly, is your first line of defence for preventing coercion and coercive control, including identifying misinformation and fake news, as well as gang membership, religious extremism, and cults.

Our brains encounter thousands of pieces of information a day, requiring quick indexing of information to support decision-making . If we didn’t aggressively filter information and take it at face value, we would quickly become paralysed by the size, scale, and scope of our day, and find ourselves paralysed by indecision. While these processes deliver significant benefit in helping us function, it makes us susceptible to accepting information at face value, regardless of its origin. This makes us extremely vulnerable to misinformation and disinformation campaigns, many of which seek to destabilise social function.

articles on critical thinking in education

Critical thinking is the antithesis, offering tangible, effective strategies to combat our natural shortcomings. It is a learned skill that teaches us to think better, as well as teaching us when we need to think more slowly, allowing time for fact-checking, reflection, and a rational, rather than emotional reaction. At its core, critical thinking is a commitment to remaining open-minded and accepting of other viewpoints; being curious and actively seeking out information; testing your own assumptions by looking for contrary opinions; and pausing to allow emotional reactions to pass and logical reasoning to reassert. The key stages are these:

  • Pause and observe: Take time to notice the critically important details and the context of the information.
  • Ask questions: Seek to clarify the information and, if necessary, seek alternative sources.
  • Determine bias: Every source has a bias—some innocuous, some malicious. Consider the context of the information and the angle they may want to take.
  • Infer the implications: What are the implications of the information in that context? What purpose are they hoping to achieve?
  • Remain open-minded: Accept that there are other viewpoints; try to understand these respectfully and see how they overlay your own.
  • Reason and logic: Apply reason and logic to the information to determine what it tells you. Check facts again at this stage if you need to.
  • Re-evaluate and conclude: Sticking doggedly to your beliefs, even in light of new evidence, is a common but difficult trait, and critical thinkers will actively challenge their own ideas.

Critical thinkers are typically not afraid to admit they were wrong or to change their stance in light of new information. In addition, applied critical thinking skills, such as improving your media literacy, can help reduce your susceptibility to misinformation.

Critical thinking in education

At the Open Minds Foundation, we have been tenaciously working to get critical thinking embedded in Western education frameworks, as a method for improving societal thinking and combatting common issues. While misinformation and disinformation are obvious examples, manipulation and coercive control are rife in everything from gang behaviours and cults to religious and political extremism. We have a partnership with teaching resource provider Jigsaw to bring our primary-school resources into schools and are delighted to see the recent statements from Education Secretary Bridget Phillipson vowing an end to “putrid conspiracy theories” with changes to the National Curriculum to help pupils spot fake news.

Traditionally, Western education systems are geared toward knowledge acquisition and spend the majority of time conveying what we know rather than how we know it. Importantly, introducing critical thinking skills to children as young as 5 years helps form the basis of intelligent enquiry and helps determine future capability in critical thinking. When we shift away from pure knowledge acquisition and into a process of learning to learn, we sow the seed for the future skills that young people need to protect their own autonomy.

The Open Minds Foundation

The Open Minds Foundation is dedicated to undermining the effects of coercive control, through critical thinking education and training.

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Using a flipped teaching strategy in undergraduate nursing education: students’ perceptions and performance

  • Shaherah Yousef Andargeery 1 ,
  • Hibah Abdulrahim Bahri 2 ,
  • Rania Ali Alhalwani 1 ,
  • Shorok Hamed Alahmedi 1 &
  • Waad Hasan Ali 1  

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Flipped teaching is an interactive learning strategy that actively engages students in the learning process. Students have an active role in flipped teaching as they independently prepare for the class. Class time is dedicated to discussion and learning activities. Thus, it is believed that flipped teaching promotes students’ critical thinking, communication, application of knowledge in real-life situations, and becoming lifelong learners. The aim of this study was to describe the students’ perception of flipped teaching as an innovative learning strategy. And to assess if there was a difference in students’ academic performance between those who participated in a traditional teaching strategy compared to those who participated in flipped teaching intervention.

A quasi-experimental design with intervention and control groups. A purposive sampling technique of undergraduate nursing students was used.

A total of 355 students participated in both groups, and 70 out of 182 students in the intervention group completed the survey. The students perceived a moderate level of effectiveness of the flipped teaching classroom as a teaching strategy. The result revealed that there is a statistically significant difference in the mean students’ scores for the intervention group (M = 83.34, SD = 9.81) and control group (M = 75.57, SD = 9.82).

Flipped teaching proves its effectiveness in improving students’ learning experience and academic performance. Also, students had a positive perception about flipped teaching as it allowed them to develop essential nursing competencies. Future studies must consider measuring the influence of flipped teaching on students’ ability to acquire nursing competencies, such as critical thinking and clinical reasoning.

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The successful outcome of individualized nursing care of each patient depends on effective communication between nurses and patients. Therapeutic communication consists of an exchange of verbal and non-verbal cues. It is a process in which the professional nurse uses specific techniques to help patients better understand their conditions and promote patients’ open communication of their thoughts and feelings in an environment of mutual respect and acceptance [ 1 ]. Effective educational preparation, continuing practice, and self-reflection about one’s communication skills are all necessary for becoming proficient in therapeutic communication. Teaching therapeutic communication to nursing students explains the principles of verbal and non-verbal communication that can be emphasized through classroom presentation, discussion, case studies and role-play. It also helps them develop their ability to communicate effectively with patients, families, and other health care professionals. Nursing students should be able to critically think, conceptualizing, applying, analyzing, synthesizing, and evaluating information generated by observation, experience, reflection, reasoning, and communication. Utilizing a traditional teaching strategy can be a challenge to meet the previously stated requirements [ 2 ]. Therefore, nurse educators should adapt unique teaching methods to help students learn and participate in their own education.

The “flipped classroom” is a pedagogical approach that has gained popularity worldwide to foster active learning. Active learning is defined as instructional strategies that actively engage students in their learning. It requires them to do meaningful learning activities and reflect on their actions [ 3 ]. Flipped teaching is a teaching strategy that promotes critical thinking and the application of information learned outside of the classroom to real-world situations and solves problems within the classroom. It is used in a way that allows educators to deliver lectures by using technologies such as video, audio files, PowerPoint or other media. Thus, the students can read or study those materials on their own at home before attending the class. As a result, discussions and debates about the materials take place throughout the lecture time. Some of the main principles of flipped teaching are increasing interaction and communication between students and educators, allocating more time for content mastery and understanding, granting opportunities for closing gaps and development, creating opportunities for active engagement, and providing immediate feedback [ 4 , 5 ]. This teaching/learning methodology is supported by constructivism learning theory. A “problem-solving approach to learning” is how constructivism is frequently described. In which, it requires a shift in the nurse educator’s epistemic assumptions about the teaching-learning process. Constructivism requires nursing educators to take on the role of a learning facilitator who encourages collaboration and teamwork as well as guides the students in building their knowledge. The underlying assumptions of constructivism include the idea that learning occurs as a result of social interaction in which the student actively creates their own knowledge, while prior experiences serve as the foundation for the learning process. The “flipping classroom” reflects that approach, which integrates student-centered learning [ 6 ].

Flipped teaching approach has students learning before lectures, teaching the material to better use classroom time for cooperative learning. The discussed herein represents studies and case studies from primary through graduate schools. The literature indicated students did see value in this pedagogical approach. Most of the studies found that flipped teaching was associated with better understanding of the material learned, higher academic achievement/performance, and potentially improved psychosocial factors (self-esteem, self-efficacy) that are associated with learning. Interestingly, one article pointed out that non-didactic material used in flipped-teaching lead to an increase in performance and this did not happen with didactic material.

According to Jordan et al. [ 7 ], a flipped teaching is a methodology that was developed as a response to advancements and changes in society, pedagogical approaches, and rapid growth and advancement of technology; The flipped teaching was evolved from the peer instruction and just in time teaching approaches. Jordan and colleagues [ 7 ] state that independent learning happens outside the classroom prior to the lesson through instructional materials while classroom time is maximized to fosters an environment of collaborative learning. Qutob [ 8 ] states that flipped teaching enhances student learning and engagement and promotes greater independence for students.

Jordan et al. [ 7 ] studied the use of flipped teaching on the teaching of first- and fourth-year students’ discrete mathematics and graphs, models, and applications. Across all the classes studied (pilot, graph, model and application, practices, computer and business administration), students preferred flipped teaching compared to traditional teaching. According to Jordan et al. [ 7 ], the quality of the materials and exercises, and perceived difficulty of the course and material are important to student satisfaction with this method. Additionally, it was found that interactions with teachers and collaborative learning were positive. Likewise, Nguyen et al. [ 9 ] found students favorably perceive flipped teaching. This is especially true for those students who have an understanding that the method involves preparation and interaction and how these affect the outcomes. Vazquez and Chiang [ 10 ] discuss the lessons learned from observing two large Principles of Economics Classes at the University of Illinois; each class held 900 students. Vazquez and Chiang [ 10 ] found that the students preferred watching videos over reading the textbook. Secondly, students were better prepared after they watched pre-lecture videos compared to reading the textbook beforehand. The third finding involved the length of time pre-lecture work should take; the authors state pre-lecture work should be approximately 15 to 20 min of work ahead of each in-class session. The fourth finding is that the flipped teaching is a costly endeavor. Finally, it was found that having the students watch videos before the lectures reduced the time spent in class covering the material; the end result of this is students spend more time engaging in active learning than reviewing the material.

Qutob [ 8 ] studied the effects of flip teaching using two hematology courses. One of the courses was delivered using traditional teaching and the other course was flipped teaching. Qutob [ 8 ] found that students in the flipped course not only performed better on academic tasks, but also they had more knowledge and understanding of the material covered compared to those in the traditional format class. Additionally, Qutob [ 8 ] revealed that students in the flipped classroom found this style of learning is more beneficial than traditional teaching. Moreover, Florence and Kolski [ 11 ] found an improvement in high school students’ writing post-intervention. The authors further found that students were more engaged with the material and had a positive perception of the flipped model. Bahadur and Akhtar [ 12 ] conducted a meta-analysis of twelve research articles on flipped teaching; the studies demonstrated that students taught in the flip teaching classroom performed better academically and were more interactive and engaged in the material than students taught through traditional methods. Galindo-Dominguez [ 13 ] conducted a systematic review using 61 studies and found evidence for the effectiveness of this approach compared to other pedagogical approaches with regards to academic achievement, improved self-efficacy, motivation, engagement, and cooperativeness. Webb et al. [ 14 ] studied 127 students taking microeconomics and found the delivery of flipped material (didactic vs. non-didactic) influenced students’ improvements. They further found performance improvements for the students who attended flipped classes using non-didactic pre-class material. At the same time, Webb et al. [ 14 ] further found non-improvement associated with flipped classes that used didactic pre-class materials; these materials are akin to traditional lectures.

In the context of nursing education, flipped teaching strategy has demonstrated promising and effective results in enhancing student motivation, performance, critical thinking skills, and learning quality. The flipped teaching classrooms were associated with high ratings in teaching evaluations, increased course satisfaction, improved critical thinking skills [ 15 ], improved exam results and learning quality [ 16 ] and high levels of personal, teaching, and pedagogical readiness [ 17 ]. Another study showed that student performance motivation scores especially in extrinsic goal orientation, control beliefs, and self-efficacy for learning and performance were significantly higher in the flipped teaching classroom when compared to the traditional classroom strategy [ 16 ].

Regardless of these important findings, there have been limited studies published about the flipped teaching strategy in Saudi Arabia, particularly among nursing students. Therefore, implementing the flipped teaching strategy in a therapeutic communication course would be effective in academic performance and retention of knowledge. The flipped teaching method will fit best with the goals of a therapeutic communication course as both focus on active learning and student engagement. This approach is well-matched for a therapeutic communication course as it allows students to apply and practice the communication techniques and strategies, they have learned outside of class from the flipped teaching materials and freeing up class time for interactive and experiential activities. The filliped teaching method can provide opportunities for students to apply effective interpersonal communication skills in classes, provide more time to observe students practicing therapeutic communication techniques through role-play, group discussions, and case studies. It also allows instructors to refine and provide individualized feedback and offer real-time guidance to help students improve their interpersonal communication skills.

The current study aims to examine the students’ perception of a teaching innovation based on the use of the flipped teaching strategy in the therapeutic communication course. Further, to compare if there is a difference in students’ academic performance of students who participate in a traditional teaching strategy when compared with students who participate in flipped teaching intervention.

Students who participated in the intervention group perceived a high level of effectiveness of the flipped teaching classroom as a teaching/learning strategy.

There is a significant difference in the mean scores of students’ academic performance between students who participate in a traditional teaching strategy (control group) when compared with those students who participate in flipped teaching classroom (intervention group).

Design of the study

Quantitative method, quasi-experimental design was used in this study. This research study involves implementing a flipped teaching strategy (intervention) to examine the effectiveness of the flipped teaching among the participants in the intervention group and to examine the significant difference in the mean scores of the students’ performance between the intervention and control group.

College of Nursing at one of the educational universities located in Saudi Arabia.

A purposive sampling technique was conducted in this study. This sampling technique allows the researcher to target specific participants who have certain characteristics that are most relevant and informative for addressing the research questions. The advantages of the purposive sampling lie in gathering in-depth, detailed and contextual data from the most appropriate sources and ensure that the study captures a more comprehensive understanding of the concept of interest by considering different viewpoints [ 18 ]. Participants were eligible to participate in this study if they were (1) Enrolled in the undergraduate nursing programs (Nursing or Midwifery Programs) in the College Nursing; (2) Enrolled in Therapeutic Communication Course; (3) at least 18 years old or older. Participant’s data was excluded if 50% of the responses were incomplete. The sample size was calculated using G-Power. The required participants for recruitment to implement this study is 152 participants to reach a confidence level of 95% and a margin error of 5%.

Measurement

Demographic data including the participants’ age and GPA were collected from all the participants. Educational characteristics related to the flipped teaching were collected from the participants in the intervention group including the level of English proficiency, program enrollment, attending previous, attending previous course(s) that used flipped teaching strategy, time spent each week preparing for the lectures, time spent preparing for the course exams, and recommendation for applying flipped teaching in other classes.

The student’s perception of the effectiveness of the flipped teaching strategy was measured by a survey that focused on the effectiveness of flipped teaching. This data was collected only from the participants in the intervention group. The survey involves 14 items that used 5-point Likert-type scale (5 = strongly agree, 4 = agree, 3 = neutral, 2 = disagree and 1 = strongly disagree). The sum of the scores was calculated for the item, a high score indicates a high effectiveness of flipped teaching. The survey was developed by Neeli et al. [ 19 ] and the author was contacted to obtain permission to use the survey. The reliability of the scale was tested using Cronbach alpha, which was 0.91, indicating that the scale has an excellent reliability.

Also, student academic performance was measured for both the intervention and control groups though the average cumulative scores of the assessment methods of students who were enrolled in the Therapeutic Communication Course, given a total of 100. The students’ grades obtained in the course were calculated based grading structure of the Ministry of Education in Saudi Arabia (The Rules and Regulations of Undergraduate Study and Examination).

Ethical approval

Institutional Review Board (IRB) approval (No. 22-0860) was received before conducting the study. Participants were provided with information about the study and informed about the consent process. Informed consent to participate was obtained from all the participants in the study.

Intervention

Therapeutic communication course was taught face-to-face for students enrolled in the second year in the Bachelor of Science in Midwifery and Bachelor of Science in Nursing Programs. There were eight sections for the therapeutic communication course, two of them were under the midwifery program and the remaining (six sections) were under the nursing program. Each section was held once a week in a two-hour length for 10 weeks during the second semester of 2022. Students in all sections received the same materials, contents, and assessment methods, which is considered the traditional teaching strategy. The contents of the course included the following topics: introduction of communication, verbal and written communication, listening skills, non-verbal communication, nurse-patient relationship, professional boundaries, communication styles, effective communication skills for small groups, communication through nursing process, communication with special needs patient, health education and principles for empowering individuals, communication through technology, and trends and issues in therapeutic communication. The course materials, course objectives and learning outcomes, learning resources, and other supporting materials were uploaded to the electronic platform “Blackboard” (A Learning Management System) for all sections to facilitate students’ preparation during classes. The assessment methods include written mid-term examination, case studies, group presentation, and final written examination. The grading scores for each assessment method were also the same for all sections.

The eight course sections were randomly assigned into traditional teaching strategy (control group) or flipped teaching strategy (intervention group). Figure  1 shows random distribution of the course sections. The intervention group ( n  = 182) included one section of the Bachelor of Science in Midwifery program ( n  = 55 students) and three sections of Bachelor of Science in Nursing program ( n  = 127 students). The control group ( n  = 173) included one section of the Bachelor of Science in Midwifery program ( n  = 50 students) and three sections of Bachelor of Science in Nursing program ( n  = 123 students). Although randomization of the participants is not possible, we were able to create comparison groups between participants who received the flipped teaching and traditional teaching strategy. To ensure the consistency of the information given to the students and reduce the variability, the instructors were meeting periodically and reviewed the materials together. More importantly, all students received the same topics and assessment methods as stated in the course syllabus and as mentioned above. The instructors in all sections were required to answer students’ questions, provide clarification to the points raised throughout the semester, and give constructive feedback after the evaluation of each assessment method. Students were encouraged to freely express their opinions on the issues discussed and to share their thoughts when the opinions were inconsistent.

figure 1

Random Distribution of the Course Sections

The intervention group were taught the course contents by using the flipped teaching strategy. The participants in the intervention group were asked to read the lectures and watch short videos from online sources before coming to classes. Similar materials and links were uploaded by the course instructors into the Blackboard system. During the classes, participants were divided into groups and were given time to appraise research articles and case scenarios related to the topics of the course. During the discussion time, each group presented their answers, and the course instructors encouraged the students to share their thoughts and provided constructive feedback. Questions corresponded to the intended objectives and learning outcomes were posted during the class time in Kahoot and Nearpod platforms as a competition to enhance students’ engagement. By the end of the semester, the flipped teaching survey was electronically distributed to students who were involved in the intervention group to examine the educational characteristics and assess the students’ perceptions about the flipped teaching.

Data collection procedure

After obtaining the IRB approval, the PI sent invitation letters to the potential participants using their official university email accounts. The invitation letter included a Microsoft Forms’ link with the description about the study, aim, research question, and sample size required to conduct the study. All students gave their permission to participate, and informed consent was obtained from them ( N  = 355). The link also included questions related to age, GPA, and approval to use their scores from assessment methods for research purposes. The first part of data collection was obtained immediately after the therapeutic communication course was over. The average cumulative scores of all the assessment methods (out of 100) were calculated to measure the students’ academic performance for both the intervention and control groups.

The second part of data collection was conducted after the final exam of the therapeutic communication course ( n  = 182). A Microsoft Forms link was sent to the participants in the intervention group only. It included questions related to educational characteristics and students’ perception of the effectiveness of flipped teaching. Students needed a maximum of 10 min to complete the study survey.

Data analysis

Data was analyzed using the SPSS version 27. Descriptive analysis was used to analyze the demographic and educational characteristics and perception of flipped teaching strategy. An independent t-test was implemented to compare the mean scores of the intervention and control groups to examine whether there is a statistically significance difference between both groups. A significance level of p  < 0.05 was determined as statistical significance in this study.

The total number of students who enrolled in therapeutic communication course was 355 students. The intervention group included 182 students and the control group included 173 students. The mean age of all participants in the study was 19 years old (M = 19.56, SD = 1.19). The mean GPA was 3.53 (SD = 1.43). Of those enrolled in the intervention group, only 70 out of 182 students completed the survey. Table  1 represents the description of the educational characteristics of the participants in intervention group ( n  = 70). Around 65% of the participants reported that their level of English proficiency is intermediate, and they were enrolled in the nursing program. Half of the students had precious courses that used flipped teaching strategy. About one-third of the students indicated that they spent less than 15 min each week preparing for lectures. Around 65% of the students stated that they spent more than 120 min preparing for the course exam. Half of the students gave their recommendation for applying flipped teaching strategy in other courses. The mean score of the students’ performance in Therapeutic Communication course who enrolled in the intervention group is 83.34 (SD = 9.81) and for those who were enrolled in the control group is 75.57 (SD = 9.82).

The students perceived a moderate level of effectiveness of the flipped teaching classroom as a teaching strategy (M = 3.49, SD = 0.69) (Table  2 ). The three highest items that improved students’ perception about the flipped teaching strategy were: flipped classroom session develops logical thinking (M = 3.77, SD = 0.99), followed by flipped classroom session provides extra information (M = 3.68, SD = 1.02), then flipped classroom session improves the application of knowledge (M = 3.64, SD = 1.04). The three lowest items perceived by the students were: Flipped classroom session should have allotted more time for each topic (M = 3.11, SD = 1.07), flipped classroom session requires a long time for preparation and conduction (M = 3.23, SD = 1.04), and flipped classroom session reduces the amount of time needed for study when compared to lectures (M = 3.26, SD = 1.07).

An independent sample T-test was implemented to compare the mean scores of the students’ academic performance between the intervention group ( n  = 182) and control group ( n  = 173) (Table  3 ). The results of Levene’s test for equality of variances ( p  = 0.801) indicated that equal variances assumed, and the assumption of equal variances has not been violated. The significant level value (2-tailed) is p  ≤ 0.001, indicating that there is a statistically significant difference in the mean scores of students’ academic performance for the intervention group (M = 83.34, SD = 9.81) and control group (M = 75.57, SD = 9.82). The magnitude of the differences in the means (Mean difference= -7.77%, CI: -10.02 to -5.52) is very small (Eta squared = 0.00035).

Flipped teaching is a learning strategy that engages students in the learning process allowing them to improve their academic performance and develop cognitive skills [ 20 ]. This study investigated the effect of implementing flipped teaching as an interactive learning strategy on nursing students’ performance. Also, the study examined students’ perceptions of integrating flipped teaching into their learning process. Flipped teaching is identified as an interactive teaching strategy that provides an engaging learning environment with immediate feedback allowing students to master the learning content [ 4 , 5 ]. Improvement in the student’s academic performance and development of learning competencies were expected outcomes. The flipped classroom approach aligns with the constructivist theory of education, which posits that students actively construct their own knowledge and understanding through engaging with the content and applying it in meaningful contexts. By providing pre-class materials (e.g., videos, readings) for students to engage with independently, the flipped classroom allows them to build a foundational understanding of the concepts before class, enabling them to actively participate in discussions, problem-solving, and collaborative activities during the class. By shifting the passive acquisition of knowledge to the pre-class phase and dedicating in-class time to active, collaborative, and problem-based learning, the flipped classroom approach creates an environment that fosters deeper understanding, the development of critical thinking and clinical reasoning skills as well as the ability to apply knowledge in clinical practice [ 21 ].

Effectiveness of the flipped teaching on students’ academic performance

The influence of flipped teaching on students’ academic performance was identified by evaluating students’ examination scores. The results of this study indicated that flipped teaching had a significant influence on students’ academic performance ( p  = 0.000). This significant influence implies the positive effectiveness of flipped teaching on students’ academic performance (M = 83.34, SD = 9.81) compared to traditional classroom (M = 75.57, SD = 9.82). These results are in line with other researchers regarding improving students’ academic performance [ 7 , 8 , 9 , 10 ]. Qutob’s [ 8 ] study shows that flipped teaching positively influences students’ performance. Preparation for class positively influenced students’ academic performance. The flipped classroom approach is underpinned by the principles of constructivism. These principles emphasize the active role of students in constructing their own understanding of concepts and ideas, rather than passively receiving information [ 21 ].

In a traditional classroom, the teacher typically delivers content through lectures, and students are tasked with applying that knowledge through homework or in-class activities. However, this model often fails to engage students actively in the learning process. In contract,

Flipped classroom requires students to prepare for the class which allows them to be exposed to the learning material before the class. During class time, students are giving opportunities to interact with their classmates and instructors to discuss the learning topic which can positively influencing their academic performance later [ 7 , 9 ]. Furthermore, the flipped classroom approach aligns perfectly with the core tenets of constructivism. Its adherence to the constructivist 5E Instructional Model further demonstrates its grounding in this learning theory. The 5E model, which includes the phases of engagement, exploration, explanation, elaboration, and evaluation, provides a framework for facilitating the active construction of knowledge [ 22 ].

It first sparks student interest and curiosity about the concepts (engagement), then enables students to investigate and experiment with the ideas through hands-on activities and investigations (exploration). This is followed by opportunities for students to make sense of their explorations and construct their own explanations (explanation). The flipped classroom then allows students to apply their knowledge in new contexts, deepening their understanding (elaboration). Finally, the evaluation phase assesses student learning and provides feedback, completing the cycle of constructivist learning [ 22 ]. This alignment with the 5E model, along with the flipped classroom’s emphasis on active learning and create environment that nurtures deeper understanding, the development of higher-order thinking skills, and the ability to transfer learning to real-world contexts.

In this study, one third of the students indicated that the preparation time was less than fifteen minutes a week. According to Vazquez and Chiang [ 10 ], preparation time for classroom should be about 15 to 20 min for each topic. Preparation for class did not take much time but positively influenced students’ academic performance. Furthermore, preparation for class allows students to develop the skills to be independent learners [ 8 ]. Independence in learning develops continuous learning skills, such as long-life learning which is a required competency for nursing. Garcia et al. [ 22 ] found out that focusing on shifting teachers’ practices towards active learning approaches, such as the 5E Instructional Model, can have lasting, positive impacts on students’ conceptual understanding and learning.

Students’ perception of flipped teaching as a teaching strategy

Students’ perception of flipped teaching as a learning strategy was examined using a survey developed by Neeli et al. [ 19 ]. Students recognize flipped teaching as an effective teaching strategy (M = 3.49, SD = 0.69) that had a positive influence on their learning processes and outcomes. Several studies identified the positive influence of flipped teaching on students’ learning process and learning outcomes [ 8 , 19 ]. Flipped teaching provides a problem-based learning environment allowing students to develop clinical reasoning, critical thinking, and a deeper understanding of the subject [ 5 , 8 , 19 , 23 ]. The flipped teaching approach introduces students to the learning materials before class. Class time is then utilized for discussion, hands-on, and problem-solving activities to foster a deeper understanding of the studied subject [ 5 ]. Consequently, flipped teaching provides a problem-based learning environment as it encourages students to be actively engaged in the learning process, work collaboratively with their classmates, and apply previously learned knowledge and skills to solve a problem. The result of this study is consistent with the results from a systematic review conducted by Youhasan et al. [ 5 ]. Implementing flipped teaching in undergraduate nursing education provides positive outcomes on students’ learning experiences and outcomes and prepares them to deal with future challenges in their academic and professional activities [ 5 ].

Implications

The results from this study identified that flipped teaching has a significant influence on students’ academic performance. The results also indicated that students have positive perception of flipped teaching as an interactive learning strategy. Flipped teaching pedagogy could be integrated in nursing curriculum to improve the quality of education process and outcomes which will result in improving the students’ performance. Flipped teaching provides an interactive learning environment that enhances the development of essential nursing competencies, such as communication, teamwork, collaboration, life-long learning, clinical reasoning, and critical thinking. For example, flipped teaching allows students to develop communication skills throughout discussion in the classroom, and collaboration skills by working with their classmate and instructor. In this study, flipped teaching was implemented in a theoretical course (therapeutic communication course). This interactive learning strategy could also be applied in clinical and practice setting for effective and meaningful learning process and outcomes.

Strengths and limitations

This research study reveals the effectiveness of flipped teaching on students’ academic performance. This study used a quasi-experimental design with control and intervention groups to investigate the influence of flipped teaching on nursing education. Nevertheless, this study has limitations. One of the study’s limitations is the lack of randomization, thus causal association between the variables cannot be investigated. In addition, this study used a self-administered survey which may include respondents’ bias; thus, it may affect the results. Also, this study investigated students’ perceptions of flipped teaching as a learning strategy. The results from examining students’ perceptions indicated that students had a positive perception of flipped teaching as it allowed them to develop essential nursing competencies. This study did not focus on identifying and measuring competencies. Therefore, future studies must consider measuring the influence of flipped teaching on students’ ability to acquire nursing competencies, such as critical thinking and clinical reasoning.

Flipped teaching is an interactive learning strategy that depends on students’ preparation of the topic to be interactive learners in the learning environment. Interactive learning environment improves learning process and outcomes. This study indicated that flipped teaching has significant influence on students’ academic performance. Students perceived flipped teaching as a learning strategy that allowed them to acquire learning skills, such as logical thinking and application of knowledge. These skills allow students to have meaningful learning experience. Also, students could apply these skills in other learning content and/or environments, for example, in clinical. Thus, we believe that flipped teaching is an effective learning approach to be integrated in the nursing curriculum to enhance students’ learning experience.

Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to data privacy but are available from the corresponding author on reasonable request.

Abbreviations

Institutional Review Board

Standard deviation

The level of marginal significance within a statistical test

Confidence Interval of the Difference

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Acknowledgements

The authors are grateful for the facilities and other support given by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R447), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

This research was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R447), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

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Shaherah Yousef Andargeery, Rania Ali Alhalwani, Shorok Hamed Alahmedi & Waad Hasan Ali

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Conceptualization, H.B, S.Y.A, W.A.; methodology, S.Y.A., S.H.A.; validation, S.Y.A.; formal analysis, S.Y.A.; resources, H.B, S.Y.A, W.A, R. A.; data curation, S.Y.A, S.H.A.; writing—original draft preparation, R.A, H.B, S.Y.A., S.H.A, W.A; writing—review and editing, R.A, H.B, S.Y.A, S.H.A, W.A; supervision, R.A, H.B, S.Y.A, S.H.A.; project administration, R.A, S.Y.A, S.H.A.; funding acquisition, S.Y.A. All authors have read and agreed to the published version of the manuscript.

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Andargeery, S.Y., Bahri, H.A., Alhalwani, R.A. et al. Using a flipped teaching strategy in undergraduate nursing education: students’ perceptions and performance. BMC Med Educ 24 , 926 (2024). https://doi.org/10.1186/s12909-024-05749-9

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