ORIGINAL RESEARCH article

Metacognitive strategies and development of critical thinking in higher education.

Silvia F. Rivas

  • 1 Departamento de Psicología Básica, Psicobiología y Metodología de CC, Facultad de Psicología, Universidad de Salamanca, Salamanca, Spain
  • 2 Departamento de Ciencias de la Educación, Facultad de Educación y Humanidades, Universidad del Bío-Bío, Sede Chillán, Chile

More and more often, we hear that higher education should foment critical thinking. The new skills focus for university teaching grants a central role to critical thinking in new study plans; however, using these skills well requires a certain degree of conscientiousness and its regulation. Metacognition therefore plays a crucial role in developing critical thinking and consists of a person being aware of their own thinking processes in order to improve them for better knowledge acquisition. Critical thinking depends on these metacognitive mechanisms functioning well, being conscious of the processes, actions, and emotions in play, and thereby having the chance to understand what has not been done well and correcting it. Even when there is evidence of the relation between metacognitive processes and critical thinking, there are still few initiatives which seek to clarify which process determines which other one, or whether there is interdependence between both. What we present in this study is therefore an intervention proposal to develop critical thinking and meta knowledge skills. In this context, Problem-Based Learning is a useful tool to develop these skills in higher education. The ARDESOS-DIAPROVE program seeks to foment critical thinking via metacognition and Problem-Based Learning methodology. It is known that learning quality improves when students apply metacognition; it is also known that effective problem-solving depends not only on critical thinking, but also on the skill of realization, and of cognitive and non-cognitive regulation. The study presented hereinafter therefore has the fundamental objective of showing whether instruction in critical thinking (ARDESOS-DIAPROVE) influences students’ metacognitive processes. One consequence of this is that critical thinking improves with the use of metacognition. The sample was comprised of first-year psychology students at Public University of the North of Spain who were undergoing the aforementioned program; PENCRISAL was used to evaluate critical thinking skills and the Metacognitive Activities Inventory (MAI) for evaluating metacognition. We expected an increase in critical thinking scores and metacognition following this intervention. As a conclusion, we indicate actions to incentivize metacognitive work among participants, both individually via reflective questions and decision diagrams, and at the interactional level with dialogues and reflective debates which strengthen critical thinking.

Introduction

One of the principal objectives which education must cover is helping our students become autonomous and effective. Students’ ability to use strategies which help them direct their motivation toward action in the direction of the meta-proposal is a central aspect to keep at the front of our minds when considering education. This is where metacognition comes into play—knowledge about knowledge itself, a component which is in charge of directing, monitoring, regulating, organizing, and planning our skills in a helpful way, once these have come into operation. Metacognition helps form autonomous students, increasing consciousness about their own cognitive processes and their self-regulation so that they can regulate their own learning and transfer it to any area of their lives. As we see, it is a conscious activity of high-level thinking which allows us to look into and reflect upon how we learn and to control our own strategies and learning processes. We must therefore approach a problem which is increasing in our time, that of learning and knowledge from the perspective of active participation by students. To achieve these objectives of “learning to learn” we must use adequate cognitive learning strategies, among which we can highlight those oriented toward self-learning, developing metacognitive strategies, and critical thinking.

Metacognition is one of the research areas, which has contributed the most to the formation of the new conceptions of learning and teaching. In this sense, it has advanced within the constructivist conceptions of learning, which have attributed an increasing role to student consciousness and to the regulation which they exercise over their own learning ( Glaser, 1994 ).

Metacognition was initially introduced by John Flavell in the early 1970s. He affirmed that metacognition, on one side, refers to “the knowledge which one has about his own cognitive processes products, or any other matter related with them” and on the other, “to the active supervision and consequent regulation and organization of these processes in relation with the objects or cognitive data upon which they act” ( Flavell, 1976 ; p. 232). Based on this, we can differentiate two components of metacognition: one of a declarative nature, which is metacognitive knowledge, referring to knowledge of the person and the task, and another of a procedural nature, which is metacognitive control or self-regulated learning, which is always directed toward a goal and controlled by the learner.

Different authors have pointed out that metacognition presents these areas of thought or skills, aimed knowledge or toward the regulation of thought and action, mainly proposing a binary organization in which attentional processes are oriented, on occasions, toward an object or subject, and the other hand, toward to interact with objects and/or subjects ( Drigas and Mitsea, 2021 ). However, it is possible to understand metacognition from another approach that establishes more levels of use of metacognitive thinking to promote knowledge, awareness, and intelligence, known as the eight pillars of metacognition model ( Drigas and Mitsea, 2020 ). These pillars allow thought to promote the use of deep knowledge, cognitive processes, self-regulation, functional adaptation to society, pattern recognition and operations, and even meaningful memorization ( Drigas and Mitsea, 2020 ).

In addition to the above, Drigas and Mitsea’s model establishes different levels where metacognition could be used, in a complex sequence from stimuli to transcendental ideas, in which each of the pillars could manifest a different facet of the process metacognitive, thus establishing a dialectical and integrative approach to learning and knowledge, allowing it to be understood as an evolutionary and complex process in stages ( Drigas and Mitsea, 2021 ).

All this clarifies the importance of and need for metacognition, not only in education but also in our modern society, since this need to “teach how to learn” and the capacity to “learn how to learn” in order to achieve autonomous learning and transfer it to any area of our lives will let us face problems more successfully. This becomes a relevant challenge, especially today where it is required to have a broad view regarding reflection and consciousness, and to transcend simplistic and reductionist models that seek to center the problem of knowledge only around the neurobiological or the phenomenological scope ( Sattin et al., 2021 ).

Critical thinking depends largely on these mechanisms functioning well and being conscious of the processes used, since this gives us the opportunity to understand what has not been done well and correct it in the future. Consciousness for critical thinking would imply a continuous process of reuse of thought, in escalations that allow thinking to be oriented both toward the objects of the world and toward the subjective interior, allowing to determine the ideas that give greater security to the person, and in that perspective, the metacognitive process, represents this use of Awareness, also allowing the generation of an identity of knowing being ( Drigas and Mitsea, 2021 ).

We know that thinking critically involves reasoning and deciding to effectively solve a problem or reach goals. However, effective use of these skills requires a certain degree of consciousness and regulation of them. The ARDESOS-DIAPROVE program seeks precisely to foment critical thinking, in part, via metacognition ( Saiz and Rivas, 2011 , 2012 , 2016 ).

However, it is not only centered on developing cognitive components, as this would be an important limitation. Since the 1990s, it has been known that non-cognitive components play a crucial role in developing critical thinking. However, there are few studies focusing on this relation. This intervention therefore considers both dimensions, where metacognitive processes play an essential role by providing evaluation and control mechanisms over the cognitive dimension.

Metacognition and Critical Thinking

Critical Thinking is a concept without a firm consensus, as there have been and still are varying conceptions regarding it. Its nature is so complex that it is hard to synthesize all its aspects in a single definition. While there are numerous conceptions about critical thinking, it is necessary to be precise about which definition we will use. We understand that “ critical thinking is a knowledge-seeking process via reasoning skills to solve problems and make decisions which allows us to more effectively achieve our desired results” ( Saiz and Rivas, 2008 , p. 131). Thinking effectively is desirable in all areas of individual and collective action. Currently, the background of the present field of critical thinking is also based in argumentation. Reasoning is used as the fundamental basis for all activities labeled as thinking. In a way, thinking cannot easily be decoupled from reasoning, at least if our understanding of it is “deriving something from another thing.” Inference or judgment is what we essentially find behind the concept of thinking. The question, though, is whether it can be affirmed that thinking is only reasoning. Some defend this concept ( Johnson, 2008 ), while others believe the opposite, that solving problems and making decisions are activities which also form part of thinking processes ( Halpern, 2003 ; Halpern and Dunn, 2021 , 2022 ). To move forward in this sense, we will return to our previous definition. In that definition, we have specified intellectual activity with a goal intrinsic to all mental processes, namely, seeking knowledge. Achieving our ends depends not only on the intellectual dimension, as we may need our motor or perceptive activities, so it contributes little to affirm that critical thinking allows us to achieve our objectives as we can also achieve them by doing other activities. It is important for us to make an effort to identify the mental processes responsible for thinking and distinguish them from other things.

Normally, we think to solve our problems. This is the second important activity of thought. A problem can be solved by reasoning, but also by planning course of action or selecting the best strategy for the situation. Apart from reasoning, we must therefore also make decisions to resolve difficulties. Choosing is one of the most frequent and important activities which we do. Because of this, we prefer to give it the leading role it deserves in a definition of thinking. Solving problems demands multiple intellectual activities, including reasoning, deciding, planning, etc. The final characteristic goes beyond the mechanisms peculiar to inference. What can be seen at the moment of delineating what it means to think effectively is that concepts are grouped together which go beyond the nuclear ideas of what has to do with inferring or reasoning. The majority of theoreticians in the field ( APA, 1990 ; Ennis, 1996 ; Halpern, 1998 , 2003 ; Paul and Elder, 2001 ; Facione, 2011 ; Halpern and Dunn, 2021 , 2022 ) consider that, in order to carry out this type of thinking effectively, apart from having this skill set, the intervention of other types of components is necessary, such as metacognition and motivation. This is why we consider it necessary to speak about the components of critical thinking, as we can see in Figure 1 :

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Figure 1 . Components of critical thinking ( Saiz, 2020 ).

In the nature of thinking, there are two types of components: the cognitive and the non-cognitive. The former include perception, learning, and memory processes. Learning is any knowledge acquisition mechanism, the most important of which is thinking. The latter refer to motivation and interests (attitudes tend to be understood as dispositions, inclinations…something close to motives); with metacognition remaining as a process which shares cognitive and non-cognitive aspects as it incorporates aspects of both judgment (evaluation) and disposition (control/efficiency) about thoughts ( Azevedo, 2020 ; Shekhar and Rahnev, 2021 ). Both the cognitive and non-cognitive components are essential to improve critical thinking, as one component is incomplete without the other, that is, neither cognitive skills nor dispositions on their own suffice to train a person to think critically. In general, relations are bidirectional, although for didactic reasons only unidirectional relations appear in Figure 1 ( Rivas et al., 2017 ). This is because learning is a dynamic process which is subject to all types of influence. For instance, if a student is motivated, they will work more and better—or at least, this is what is hoped for. If they can achieve good test scores as well, it can be supposed that motivation is reinforced, so that they will continue existing behaviors in the same direction that is, working hard and well on their studies. This latter point appears to arise at least because of an adjustment between expectations and reality which the student achieves thanks to metacognition, which allows them to effectively attribute their achievements to their efforts ( Ugartetxea, 2001 ).

Metacognition, which is our interest in this paper, should also have bidirectional relations with critical thinking. Metacognition tends to be understood as the degree of consciousness which we have about our own mental processes and similar to the capacity for self-regulation, that is, planning and organization ( Mayor et al., 1993 ). We observe that these two ideas have very different natures. The former is simpler, being the degree of consciousness which we reach about an internal mechanism or process. The latter is a less precise idea, since everything which has to do with self-regulation is hard to differentiate from a way of understanding motivation, such as the entire tradition of intrinsic motivation and self-determination from Deci, his collaborators, and other authors of this focus (see, e.g., Deci and Ryan, 1985 ; Ryan and Deci, 2000 ). The important thing is to emphasize the executive dimension of metacognition, more than the degree of consciousness, for practical reasons. It can be expected that this dimension has a greater influence on the learning process than that of consciousness, although there is little doubt that we have to establish both as necessary and sufficient conditions. However, the data must speak in this regard. Due to all of this, and as we shall see hereinafter, the intervention designed incorporates both components to improve critical thinking skills.

We can observe, though, that the basic core of critical thinking continues to be topics related to skills, in our case, reasoning, problem-solving, and decision-making. The fact that we incorporate concepts of another nature, such as motivation, in a description of critical thinking is justified because it has been proven that, when speaking about critical thinking, the fact of centering solely on skills does not allow for fully gathering its complexity. The purpose of the schematic in Figure 2 is to provide conceptual clarity to the adjective “critical” in the expression critical thinking . If we understand critical to refer to effective , we should also consider that effectiveness is not, as previously mentioned, solely achieved with skills. They must be joined together with other mechanisms during different moments. Intellectual skills alone cannot achieve the effectiveness assumed within the term “critical.” First, for said skills to get underway, we must want to do so. Motivation therefore comes into play before skills and puts them into operation. For its part, metacognition allows us to take advantage of directing, organizing, and planning our skills and act once they have begun to work. Motivation thus activates our abilities, while metacognition lets them be more effective. The final objective should always be to gain proper knowledge of reality to resolve our problems.

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Figure 2 . Purpose of critical thinking ( Saiz, 2020 , p.27).

We consider that the fact of referring to components of critical thinking while differentiating the skills of motivation and metacognition aids with the conceptual clarification we seek. On one side, we specify the skills which we discuss, and on another, we mention which other components are related to, and even overlap with them. We must be conscious of how difficult it is to find “pure” mental processes. Planning a course of action, an essential trait of metacognition, demands reflection, prediction, choice, comparison, and evaluation… And this, evidently, is thinking. The different levels or dimensions of our mental activity must be related and integrated. Our aim is to be able to identify what is substantial in thinking to know what we are able to improve and evaluate.

It is widely known that for our personal and professional functioning, thinking is necessary and useful. When we want to change a situation or gain something, all our mental mechanisms go into motion. We perceive the situation, identify relevant aspects of the problem, analyze all the available information, and appraise everything we analyze. We make judgments about the most relevant matters, decide about the options or pathways for resolution, execute the plan, obtain results, evaluate the results, estimate whether we have achieved our purpose and, according to the level of satisfaction following this estimation, consider our course of action good, or not.

The topic we must pose now is what things are teachable. It is useful to specify that what is acquired is clearly cognitive and some of the non-cognitive, because motivation can be stimulated or promoted, but not taught. The concepts of knowledge and wisdom are its basis. Mental representation and knowledge only become wisdom when we can apply it to reality, when we take it out of our mind and adequately situate it in the world. For our teaching purposes, we only have to take a position about whether knowledge is what makes critical thinking develop, or vice versa. For us, skills must be directly taught, and dominion is secondary. Up to now, we have established the components of critical thinking, but these elements still have to be interrelated properly. What we normally find are skills or components placed side by side or overlapping, but not the ways in which they influence each other. Lipman (2003) may have developed the most complete theory of critical and creative thinking, along Paul and his group, in second place, with their universal thought structures ( Paul and Elder, 2006 ). However, a proposal for the relation between the elements is lacking.

To try to explain the relation between the components of thought, we will use Figure 2 as an aid.

The ultimate goal of critical thinking is change that is, passing from one state of wellbeing into a better state. This change is only the fruit of results, which must be the best. Effectiveness is simple achieving our goals in the best way possible. There are many possible results, but for our ends, there are always some which are better than others. Our position must be for effectiveness, the best response, the best solution. Reaching a goal is resolving or achieving something, and for this, we have mechanisms available which tell us which are the best course of action. Making decisions and solving problems are fundamental skills which are mutually interrelated. Decision strategies come before a solution. Choosing a course of action always comes before its execution, so it is easy to understand that decisions contribute to solutions.

Decisions must not come before reflection, although this often can and does happen. As we have already mentioned, the fundamental skills of critical thinking, in most cases, have been reduced to reasoning, and to a certain degree, this is justified. There is an entire important epistemological current behind this, within which the theory of argumentation makes no distinction, at least syntactically, between argumentation and explanation. However, for us this distinction is essential, especially in practice ( Saiz, 2020 ). We will only center on an essential difference for our purpose. Argumentation may have to do with values and realities, but explanation only has to do with the latter. We can argue about beliefs, convictions, and facts, but we can only explain realities. Faced with an explanation of reality, any argumentation would be secondary. Thus, explanation will always be the central skill in critical thinking.

The change which is sought is always expressed in reality. Problems always are manifested and resolved with actions, and these are always a reality. An argument about realities aids in explaining them. An argument about values upholds a belief or a conviction. However, beliefs always influence behavior; thus, indirectly, the argument winds up being about realities. One may argue, for example, only for or against the death penalty, and reach the conviction that it is good or bad and ultimately take a position for or against allowing it. This is why we say that deciding always comes before resolving; furthermore, resolution always means deciding about something in a particular direction—it always means choosing and taking an option; furthermore, deciding is often only from two possibilities, the better or that which is not better, or which is not as good. Decisions are made based on the best option possible of all those which can be presented. Resolution is a dichotomy. Since our basic end lies within reality, explanation must be constituted as the basic pillar to produce change. Argumentation must therefore be at the service of causality (explanation), and both must be in the service of solid decisions leading us to the best solution or change of situation. We now believe that the relation established in Figure 2 can be better understood. From this relation, we propose that thinking critically means reaching the best explanation for an event, phenomenon, or problem in order to know how to effectively resolve it ( Saiz, 2017 , p.19). This idea, to our judgment, is the best summary of the nature of critical thinking. It clarifies details and makes explicit the components of critical thinking.

Classroom Activities to Develop Metacognition

We will present a set of strategies to promote metacognitive work in the classroom in this section, aimed at improving critical thinking skills. These strategies can be applied both at the university level and the secondary school level; we will thus focus on these two levels, although metacognitive strategies can be worked on from an earlier age ( Jaramillo and Osses, 2012 ; Tamayo-Alzate et al., 2019 ) and some authors have indicated that psychological maturity has a greater impact on effectively achieving metacognition ( Sastre-Riba, 2012 ; García et al., 2016 ).

At the individual level, metacognition can be worked on via applying questions aimed at the relevant tasks which must be undertaken regarding a task (meta-knowledge questions), for example:

- Do I know how much I know about this subject?

- Do I have clear instructions and know what action is expected from me?

- How much time do I have?

- Am I covering the proper and necessary subjects, or is there anything important left out?

- How do I know that my work is right?

- Have I covered every point of the rubric for the work to gain a good grade or a sufficient level?

These reflective questions facilitate supervising knowledge level, resource use, and the final product achieved, so that the decisions taken for said activities are the best and excellent learning results are achieved.

Graphs or decision diagrams can also be used to aid in organizing these questions during the different phases of executing a task (planning, progress, and final evaluation), which is clearly linked with the knowledge and control processes of metacognition ( Mateos, 2001 ). These diagrams are more complex and elaborate strategies than the questions, but are effective when monitoring the steps considered in the activity ( Ossa et al., 2016 ). Decision diagrams begin from a question or task, detailing the principal steps to take, and associating an alternative (YES or NO) to each step, which leads to the next step whenever the decision is affirmative, or to improve or go further into the step taken if the decision is negative.

Finally, we can work on thinking aloud, a strategy which facilitates making the thoughts explicit and conscious, allowing us to monitor their knowledge, decisions, and actions to promote conscious planning, supervision and evaluation ( Ávila et al., 2017 ; Dahik et al., 2019 ). For example:

- While asking a question, the student thinks aloud: I am having problems with this part of the task, and I may have to ask the teacher to know whether I am right.

Thinking aloud can be done individually or in pairs, allowing for active monitoring of decisions and questions arising from cognitive and procedural work done by the student.

Apart from the preceding strategies, it is also possible to fortify metacognitive development via personal interactions based on dialogue between both the students themselves and between the teacher and individual students. One initial strategy, similar to thinking out loud in pairs, is reflective dialogue between teacher and student, a technique which allows for exchanging deep questions and answers, where the student becomes conscious of their knowledge and practice thanks to dialogical interventions by the teacher ( Urdaneta, 2014 ).

Reflective dialogue can also be done via reflective feedback implemented by the teacher for the students to learn by themselves about the positive and negative aspects of their performance on a task.

Finally, another activity based on dialogue and interaction is related to metacognitive argumentation ( Sánchez-Castaño et al., 2015 ), a strategy which uses argumentative resources to establish a valid argumentative structure to facilitate responding to a question or applying it to a debate. While argumentative analysis is based on logic and the search for solid reasons, these can have higher or lower confidence and reliability as a function of the data which they provide. Thus, if a reflective argumentative process is performed, via questioning reasons or identifying counterarguments, there is more depth and density in the argumentative structure, achieving greater confidence and validity.

We can note that metacognition development strategies are based on reflective capacity, which allow thought to repeatedly review information and decisions to consider, without immediately taking sides or being carried away by superficial or biased ideas or data. Critical thought benefits strongly from applying this reflective process, which guides both data management and cognitive process use. These strategies can also be developed in various formats (written, graphic, oral, individual, and dialogical), providing teachers a wide range of tools to strengthen learning and thinking.

Metacognitive Strategies to Improve Critical Thinking

In this section, we will describe the fundamental metacognitive strategies addressed in our critical thinking skills development program ARDESOS-DIAPROVE.

First, one of the active learning methodologies applied is Problem-Based Learning (PBL). This pedagogical strategy is student-centered and encourages autonomous and participative learning, orienting students toward more active and decisive learning. In PBL each situation must be approached as a problem-solving task, making it necessary to investigate, understand, interpret, reason, decide, and resolve. It is presented as a methodology which facilitates joint knowledge acquisition and skill learning. It is also good for working on daily problems via relevant situations, considerably reducing the distance between learning context and personal/professional life and aiding the connection between theory and practice, which promote the highly desired transference. It favors organization and the capacity to decide about problem-solving, which also improves performance and knowledge about the students’ own learning processes. Because of all this, this methodology aids in reflection and analysis processes, which in turn promotes metacognitive skill development.

The procedure which we carried out in the classroom with all the activities is based on the philosophy of gradual learning control transference ( Mateos, 2001 ). During instruction, the teacher takes on the role of model and guide for students’ cognitive and metacognitive activity, gradually bringing them into participating in an increasing level of competency, and slowly withdrawing support in order to attain control over the students’ learning process. This methodology develops in four phases: (1) explicit instruction, where the teacher directly explains the skills which will be worked on; (2) guided practice, where the teacher acts as a collaborator to guide and aid students in self-regulation; and (3) cooperative practice, where cooperative group work facilitates interaction with a peer group collaborating to resolve the problem. By explaining, elaborating, and justifying their own points of view and alternative solutions, greater consciousness, reflection, and control over their own cognitive processes is promoted. Finally, (4) individual practice is what allows students to place their learning into practice in individual evaluation tasks.

Regarding the tasks, it is important to highlight that the activities must be aimed not only at acquiring declarative knowledge, but also at procedural knowledge. The objective of practical tasks, apart from developing fundamental knowledge, is to develop CT skills among students in both comprehension and expression in order to favor their learning and its transference. The problems used must be common situations, close to our students’ reality. The important thing in our task of teaching critical thinking is its usefulness to our students, which can only be achieved during application since we only know something when we are capable of applying it. We are not interested in students merely developing critical skills; they must also be able to generalize their intellectual skills, for which they must perceive them as useful in order to want to acquire them. Finally, they will have to actively participate to apply them to solving problems. Furthermore, if we study the different ways of reasoning without context, via overly academic problems, their application to the personal sphere becomes impossible, leading them to be considered hardly useful. This makes it important to contextualize skills within everyday problems or situations which help us get students to use them regularly and understand their usefulness.

Reflecting on how one carries things out in practice and analyzing mistakes are ways to encourage success and autonomy in learning. These self-regulation strategies are the properly metacognitive part of our study. The teacher has various resources to increase these strategies, particularly feedback oriented toward task resolution. Similarly, one of the most effective instruments to achieve it is using rubrics, a central tool for our methodology. These guides, used in student performance evaluations, describe the specific characteristics of a task at various performance levels, in order to clarify expectations for students’ work, evaluate their execution, and facilitate feedback. This type of technique also allows students to direct their own activity. We use them with this double goal in mind; on the one hand, they aid students in carrying out tasks, since they help divide the complex tasks they have to do into simpler jobs, and on the other, they help evaluate the task. Rubrics guide students in the skills and knowledge they need to acquire as well as facilitating self-evaluation, thereby favoring responsibility in their learning. Task rubrics are also the guide for evaluation which teachers carry out in classrooms, where they specify, review, and correctly resolve the tasks which students do according to the rubric criteria. Providing complete feedback to students is a crucial aspect for the learning process. Thus, in all sessions time is dedicated to carrying it out. This is what will allow them to move ahead in self-regulated skill learning.

According to what we have seen, there is a wide range of positions when it comes to defining critical thinking. However, there is consensus in the fact that critical thinking involves cognitive, attitudinal, and metacognitive components, which together favor proper performance in critical thinking ( Ennis, 1987 ; Facione, 1990 ). This important relation between metacognition and critical thinking has been widely studied in the literature ( Berardi-Coletta et al., 1995 ; Antonietti et al., 2000 ; Kuhn and Dean, 2004 ; Black, 2005 ; Coutinho et al., 2005 ; Orion and Kali, 2005 ; Schroyens, 2005 ; Akama, 2006 ; Choy and Cheah, 2009 ; Magno, 2010 ; Arslan, 2014 ) although not always in an applied way. Field studies indicate the existence of relations between teaching metacognitive strategies and progress in students’ higher-order thinking processes ( Schraw, 1998 ; Kramarski et al., 2002 ; Van der Stel and Veenman, 2010 ). Metacognition is thus considered one of the most relevant predictors of achieving a complex higher-order thought process.

Along the same lines, different studies show the importance of developing metacognitive skills among students as it is related not only with developing critical thinking, but also with academic achievement and self-regulated learning ( Klimenko and Alvares, 2009 ; Magno, 2010 ; Doganay and Demir, 2011 ; Özsoy, 2011 ). Klimenko and Alvares (2009) indicated that one way for students to acquire necessary tools to encourage autonomous learning is making cognitive and metacognitive strategies explicit and well-used and that teachers’ role is to be mediators and guides. Inspite of this evidence, there is less research about the use of metacognitive strategies in encouraging critical thinking. The principal reason is probably that it is methodologically difficult to gather direct data about active metacognitive processes which are complex by nature. Self-reporting is also still very common in metacognition evaluation, and there are few studies which have included objective measurements aiding in methodological precision for evaluating metacognition.

However, in recent years, greater importance has been assigned to teaching metacognitive skills in the educational system, as they aid students in developing higher-order thinking processes and improving their academic success ( Flavell, 2004 ; Larkin, 2009 ). Because of this, classrooms have seen teaching and learning strategies emphasizing metacognitive knowledge and regulation. Returning to our objective, which is to improve critical thinking via the ARDESOS-DIAPROVE program, we have achieved our goal in an acceptable way ( Saiz and Rivas, 2011 , 2012 , 2016 ).

However, we need to know which specific factors contribute to this improvement. We have covered significant ground through different studies, one of which we present here. In this one, we attempt to find out the role of metacognition in critical thinking. This is the central objective of the study. Our program includes motivational and metacognitive variables. Therefore, we seek to find out whether metacognition improves after this instruction program focused on metacognition. Therefore, our hypothesis is simple: we expect that the lesson will improve our students’ metacognition. The idea is to know whether applying metacognition helps us achieve improved critical thinking and whether after this change metaknowledge itself improves. In other words, improved critical thinking performance will make us think better about thinking processes themselves. If this can be improved, we can expect that in the future it will have a greater influence on critical thinking. The idea is to be able to demonstrate that applying specifically metacognitive techniques, the processes themselves will subsequently improve in quality and therefore contribute better volume and quality to reasoning tasks, decision-making and problem-solving.

Materials and Methods

Participants.

In the present study, we used a sample of 89 students in a first-year psychology course at Public University of the North of Spain. 82% (73) were women, and the other 18% (16) were men. Participants’ median age was 18.93 ( SD 1.744).

Instruments

Critical thinking test.

To measure critical thinking skills, we applied the PENCRISAL test ( Saiz and Rivas, 2008 ; Rivas and Saiz, 2012 ). The PENCRISAL is a battery consisting of 35 production problem situations with an open-answer format, composed of five factors: Deductive Reasoning , Inductive Reasoning , Practical Reasoning , Decision-Making , and Problem-Solving , with seven items per factor. Items for each factor gather the most representative structures of fundamental critical thinking skills.

The items’ format is open, so that the person has to answer a concrete question, adding a justification for the reasons behind their answer. Because of this, there are standardized correction criteria assigning values between 0 and 2 points as a function of answer quality. This test offers us a total score of critical thinking skills and another five scores referring to the five factors. The value range is located between 0 and 72 points as a maximum limit for total test scoring, and between 0 and 14 for each of the five scales. The reliability measures present adequate precision levels according to the scoring procedures, with the lowest Cronbach’s alpha values at 0.632, and the test–retest correlation at 0.786 ( Rivas and Saiz, 2012 ). PENCRISAL administration was done over the Internet via the evaluation platform SelectSurvey.NET V5: http://24.selectsurvey.net/pensamiento-critico/Login.aspx .

Metacognitive Skill Inventory

Metacognitive skill evaluation was done via the metacognitive awareness inventory from Schraw and Dennison (1994) (MAI; Huertas Bustos et al., 2014 ). This questionnaire has 52 Likert scale-type items with five points. The items are distributed in two general dimensions: cognitive knowledge (C) and regulation of cognition (R). This provides ample coverage for the two aforementioned ideas about metaknowledge. There are also eight defined subcategories within each general dimension. For C, these are: declarative knowledge (DK), procedural knowledge (PK), and conditional knowledge (CK). In R, we find: organization (O), monitoring (M), and evaluation (E). This instrument comprehensively, and fairly clearly, brings together essential aspects of metacognition. On one side, there is the level of consciousness, containing types of knowledge—declarative, procedural, and strategic. On the other, it considers everything important in the processes of self-regulation, planning, organization, direction or control (monitoring), adjustment (troubleshooting), and considering the results achieved (evaluation). It provides a very complete vision of everything important in this dimension. Cronbach’s alpha for this instrument is 0.94, showing good internal consistency.

Intervention Program

As previously mentioned, in this study, we applied the third version of the ARDESOS_DIAPROVE program ( Saiz and Rivas, 2016 ; Saiz, 2020 ), with the objective of improving thinking skills. This program is centered on directly teaching the skills which we consider essential to develop critical thinking and for proper performance in our daily affairs. For this, we must use reasoning and good problem-solving and decision-making strategies, with one of the most fundamental parts of our intervention being the use of everyday situations to develop these abilities.

DIAPROVE methodology incorporates three new and essential aspects: developing observation, the combined use of facts and deduction, and effective management of de-confirmation procedures, or discarding hypotheses. These are the foundation of our teaching, which requires specific teaching–learning techniques.

The intervention took place over 16 weeks and is designed to be applied in classrooms over a timeframe of 55–60 h. The program is applied in classes of around 30–35 students divided into groups of four for classwork in collaborative groups, and organized into six activity blocks: (1) nature of critical thinking, (2) problem-solving and effectiveness, (3) explanation and causality, (4) deduction and explanation, (5) argumentation and deduction, and (6) problem-solving and decision-making. These blocks are assembled maintaining homogeneity, facilitating a global integrated skill focus which helps form comprehension and use of the different structures in any situation as well as a greater degree of ability within the domain of each skill.

Our program made an integrated use of problem-based learning (PBL) and cooperative learning (CL) as didactic teaching and learning strategies in the critical thinking program. These methodologies jointly exert a positive influence on the students, allowing them to participate more actively in the learning process, achieve better results in contextualizing content and developing skills and abilities for problem-solving, and improve motivation.

To carry out our methodology in the classrooms, we have designed a teaching system aligned with these directives. Two types of tasks are done: (1) comprehension and (2) production. The materials we used to carry out these activities are the same for all the program blocks. One key element in our aim of teaching how to think critically must be its usefulness to our students, which is only achieved through application. This makes it important to contextualize reasoning types within common situations or problems, aiding students to use them regularly and understand their usefulness. Our intention with the materials we use is to face the problems of transference, usefulness, integrated skills, and how to produce these things. Accordingly, the materials used for the tasks are: (1) common situations and (2) professional/personal problems.

The tasks which the students perform take place over a week. They work in cooperative groups in class, and then review, correct, and clarify together, promoting reflection on their achievements and errors, which fortifies metacognition. Students get the necessary feedback on the work performed which will help them progressively acquire fundamental procedural contents. Our goal here is that students become conscious of their own thought processes in order to improve them. In this way, via the dialogue achieved between teachers and students as well as between the students themselves in their cooperative work, metacognition is developed. For conscious performance of tasks, the students will receive rubrics for each and every task to guide them in their completion.

Application of the ARDESOS-DIAPROVE program was done across a semester in the Psychology Department of the Public University of the North of Spain. One week before teaching began; critical thinking and metacognition evaluations were done. This was also done 1 week after the intervention ended, in order to gather the second measurement for PENCRISAL and MAI. The timelapse between the pre-treatment and post-treatment measurements was 4 months. The intervention was done by instructors with training and good experience in the program.

To test our objective, we used a quasi-experimental pre-post design with repeated measurements.

Statistical Analysis

For statistical analysis, we used the IBM SPSS Statistics 26 statistical packet. The statistical tools and techniques used were: frequency and percentage tables for qualitative variables, exploratory and descriptive analysis of quantitative variables with a goodness of fit test to the normal Gaussian model, habitual descriptive statistics (median, SD, etc.) for numerical variables, and Student’s t -tests for significance of difference.

To begin, a descriptive analysis of the study variables was carried out. Tables 1 , 2 present the summary of descriptions for the scores obtained by students in the sample, as well as the asymmetry and kurtosis coefficients for their distribution.

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Table 1 . Description of critical thinking measurement (PENCRISAL).

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Table 2 . Description of metacognition measurement (MAI).

As we see in the description of all study variables, the evidence is that the majority of them adequately fit the normal model, although some present significant deviations which can be explained by sample size.

Next, to verify whether there were significant differences in the metacognition variable based on measurements before and after the intervention, we contrasted medians for samples related with Student’s t -test (see Table 3 ).

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Table 3 . Comparison of the METAKNOWLEDGE variable as a function of PRE-POST measurements.

The results show that there are significant differences in the metaknowledge scale total and in most of its dimensions, where all the post medians for both the scale overall and for the three dimensions of the knowledge factor (declarative, procedural, and conditional) are higher than the pre-medians. However, in the cognition regulation dimension, there are only significant differences in the total and in the planning, organization, and monitoring dimensions. The medians are also greater in the post-test than the pre-test. However, the troubleshooting and evaluation dimensions do not differ significantly after intervention.

Finally, for critical thinking skills, the results show significant differences in the scale total and in the five factors regarding the measurement time, where performance medians rise after intervention (see Table 4 ).

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Table 4 . Comparison of the CRITICAL THINKING variable as a function of PRE-POST measurements.

These results show how metacognition improves due to CT intervention, as well as how critical thinking also improves with metacognitive intervention and CT skills intervention. Thus, it improves how people think about thinking as well as about the results achieved, since metacognition supports decision-making and final evaluation about proper strategies to solve problems.

Discussion and Conclusions

The general aim of our study was to know whether a critical thinking intervention program can also influence metacognitive processes. We know that our teaching methodology improves cross-sectional skills in argumentation, explanation, decision-making, and problem-solving, but we do not know if this intervention also directly or indirectly influences metacognition. In our study, we sought to shed light on this little-known point. If we bear in mind the centrality of how we think about thinking for our cognitive machinery to function properly and reach the best results possible in the problems we face, it is hard to understand the lack of attention given to this theme in other research. Our study aimed to remedy this deficiency somewhat.

As said in the introduction, metacognition has to do with consciousness, planning, and regulation of our activities. These mechanisms, as understood by many authors, have a blended cognitive and non-cognitive nature, which is a conceptual imprecision; what is known, though, is the enormous influence they exert on fundamental thinking processes. However, there is a large knowledge gap about the factors which make metacognition itself improve. This second research lacuna is what we have partly aimed to shrink here as well with this study. Our guide has been the idea of knowing how to improve metacognition from a teaching initiative and from the improvement of fundamental critical thinking skills.

Our study has shed light in both directions, albeit in a modest way, since its design does not allow us to unequivocally discern some of the results obtained. However, we believe that the data provide relevant information to know more about existing relations between skills and metacognition, something which has seen little contrast. These results allow us to better describe these relations, guiding the design of future studies which can better discern their roles. Our data have shown that this relation is bidirectional, so that metacognition improves thinking skills and vice versa. It remains to establish a sequence of independent factors to avoid this confusion, something which the present study has aided with to be able to design future research in this area.

As the results show, total differences in almost all metaknowledge dimensions are higher after intervention; specifically, we see how in the knowledge factor the declarative, procedural, and conditional dimensions improve in post-measurements. This improvement moves in the direction we predicted. However, the cognitive regulation dimension only shows differences in the total, and in the planning, organization, and regulation dimensions. We can see how the declarative knowledge dimensions are more sensitive than the procedural ones to change, and within the latter, the dimensions over which we have more control are also more sensitive. With troubleshooting and evaluation, no changes are seen after intervention. We may interpret this lack of effects as being due to how everything referring to evaluating results is highly determined by calibration capacity, which is influenced by personality factors not considered in our study. Regarding critical thinking, we found differences in all its dimensions, with higher scores following intervention. We can tentatively state that this improved performance can be influenced not only by interventions, but also by the metacognitive improvement observed, although our study was incapable of separating these two factors, and merely established their relation.

As we know, when people think about thinking they can always increase their critical thinking performance. Being conscious of the mechanisms used in problem-solving and decision-making always contributes to improving their execution. However, we need to go into other topics to identify the specific determinants of these effects. Does performance improve because skills are metacognitively benefited? If so, how? Is it only the levels of consciousness which aid in regulating and planning execution, or do other factors also have to participate? What level of thinking skills can be beneficial for metacognition? At what skill level does this metacognitive change happen? And finally, we know that teaching is always metacognitive to the extent that it helps us know how to proceed with sufficient clarity, but does performance level modify consciousness or regulation level of our action? Do bad results paralyze metacognitive activity while good ones stimulate it? Ultimately, all of these open questions are the future implications which our current study has suggested. We believe them to be exciting and necessary challenges, which must be faced sooner rather than later. Finally, we cannot forget the implications derived from specific metacognitive instruction, as presented at the start of this study. An intervention of this type should also help us partially answer the aforementioned questions, as we cannot obviate what can be modified or changed by direct metacognition instruction.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material; further inquiries can be directed to the corresponding author.

Ethics Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

SR and CS contributed to the conception and design of the study. SR organized the database, performed the statistical analysis, and wrote the first draft of the manuscript. SR, CS, and CO wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.

This study was partly financed by the Project FONDECYT no. 11220056 ANID-Chile.

Conflict of Interest

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.

Publisher’s Note

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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Keywords: critical thinking, instruction, evaluation, metacognition, problem-solving

Citation: Rivas SF, Saiz C and Ossa C (2022) Metacognitive Strategies and Development of Critical Thinking in Higher Education. Front. Psychol . 13:913219. doi: 10.3389/fpsyg.2022.913219

Received: 05 April 2022; Accepted: 19 May 2022; Published: 15 June 2022.

Reviewed by:

Copyright © 2022 Rivas, Saiz and Ossa. 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) and the copyright owner(s) 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: Silvia F. Rivas, [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: Creating Job-Proof Skills for the Future of Work

Daniela dumitru.

1 Teacher Training Department, Bucharest University of Economic Studies, 010374 Bucharest, Romania

2 Doctoral School of Psychology and Educational Sciences, University of Bucharest, 050663 Bucharest, Romania

Diane F. Halpern

3 Department of Psychology, Claremont McKenna College, Claremont, CA 91711, USA; moc.liamg@nreplahfenaid

In this study, we explore the transformative impact of artificial intelligence (AI) on the job market and argue for the growing importance of critical thinking skills in the face of job automation and changing work dynamics. Advancements in AI have the potential to disrupt various professions, including, for example, programming, legal work, and radiology. However, solely relying on AI systems can lead to errors and misjudgments, emphasizing the need for human oversight. The concept of “job-proof skills” is introduced, highlighting the importance of critical thinking, problem-solving, empathy, ethics, and other human attributes that machines cannot replicate with the same standards and agility. We maintain that critical thinking can be taught and learned through appropriate classroom instruction and transfer-focused approaches. The need for critical thinking skills is further reinforced by the influx of information and the spread of misinformation in the age of social media. Moreover, employers increasingly value critical thinking skills in their workforce, yet there exists a gap between the demand for these skills and the preparedness of college graduates. Critical thinking is not only essential for the future of work, but also for informed citizenship in an increasingly complex world. The potential impact of AI on job disruption, wages, and employment polarization is discussed, highlighting the correlation between jobs requiring critical thinking skills and their resistance to automation. We conclude by discussing collaborative efforts between universities and labor market organizations to adapt curricula and promote the development of critical thinking skills, drawing on examples from European initiatives. The need to prioritize critical thinking skills in education and address the evolving demands of the labor market is emphasized as a crucial step for navigating the future of work and opportunities for workers.

1. Introduction: Critical Thinking: Creating Job-Proof Skills for the Future of Work

The rapid evolution of online technologies has ushered in a paradigm shift in employment, redefining the nature of work and the skills required to succeed in the digital age. This transformative landscape, characterized by the ubiquitous presence of the Internet, social media platforms, and advanced artificial intelligence systems, has created a plethora of new opportunities and challenges in the labor market. As we navigate this digital frontier, it is becoming increasingly clear that traditional employment paradigms are undergoing a profound transformation. The convergence of online technologies with the demands of a networked world has not only created new job opportunities, but it has also disrupted established industries, rendering some job roles obsolete while creating demand for previously unforeseen skills. In this era of unprecedented connectivity and innovation, examining the intricate interplay between online technologies and jobs is paramount as it holds the key to understanding the dynamics of our rapidly evolving workforce.

Artificial intelligence (AI) is disrupting many jobs and promises “to change the way the world works” ( adminGPT 2023, para. 13 ). The number and range of AI programs are increasing at a rapid pace, and they are likely to continually improve to meet user demands. Consider, for example, ChatGPT, which can respond to questions and requests in a way that seems to come from a human rather than a computer program. GPT stands for “generative pretrained transformer”. It is generative in that it can provide responses that it never “learned”; it is pretrained with a large language model ( Bushwick et al. 2023 ). Newer versions can describe visual images, although thus far, they cannot create visual images. Its uses are seemingly endless. It is easy to imagine how such programs can change the lives of blind individuals. In fact, it can and will change the lives of all of us.

In this paper, we argue that these advances in online technologies will make critical thinking (CT) more important than ever before. Many who are preparing to enter the job market, and many who are already employed, will need to adapt to new forms of job automation and different ways of working.

Consider, for example, that an early achievement of ChatGPT was its generation of Python code (a computer language) to compute various tasks, such as data analysis. Apparently, getting ChatGPT to generate code is so easy that several YouTube videos have popped up claiming that they can teach novice users to use ChatGPT to generate code in 90 s. ( Data Professor 2023 ). The benefits are obvious, but so are the potential job losses for people who work in Python. Python coders will need to upgrade their skills, perhaps first becoming experts in the use of ChatGPT and similar programs, but this also has a positive side--they can spend more time working on larger questions such as which analyses are needed, and, of course, carefully reviewing the work produced by AI to ensure that it is accurate and understandable. Early versions of ChatGPT responses often contained errors. A New York lawyer learned the hard way: Steven A. Schwartz, a lawyer for 30 years, used ChatGPT to create a legal document ( Weiser and Schweber 2023 ). It was filled with fake citations and bogus judicial opinions. Sadly, Mr. Schwartz never checked the accuracy of the document he filed in court. The judge was not amused. This highly public and embarrassing event should be a lesson for all of us. Current AI programs cannot be trusted to take over our work, though they may be able to aid or supplement it. However, other AI programs can “read” radiographs more accurately than human radiologists, which provides a benefit to both radiologists and patients. There is an immediate positive effect for this advancement: Radiologists will have more time to directly work with patients, and yes, they must also check the accuracy of the outputs from their programs when presenting diagnoses.

For the rest of us, whether we are students or early or late in our careers, we need to focus on the development of “job-proof skills” in the face of AI advances. A report from the United Nations defines job-proof skills as “conceptual and strategic thinking, problem-solving, empathy, optimism, ethics, emotional intelligence, and judgments are the future-proof skills and attributes that machines will not be able to replicate with the same standards and agility as qualified human beings” ( Elkeiy 2022, para. 5 ). In other words, critical thinking skills will always be needed.

2. What Is Critical Thinking?

Although some scholars in the field of critical thinking have emphasized differences among various definitions, we believe that the commonalities are evident (c.f., Dwyer 2017 ; Nisbett 2015 ; Lipman 1991 ; Fisher 2001 ). There are some differences in the use of terms and several skills might be more important, but all of the definitions (more or less) conform to our preferred definition: “Critical thinking is the use of those cognitive skills and abilities that increase the probability of a desirable outcome. It is purposeful, reasoned, and goal directed. It is the kind of thinking involved in solving problems, formulating inferences, calculating likelihoods, and making decisions. Critical thinkers use these skills appropriately, without prompting, and usually with conscious intent, in a variety of settings. That is, they are predisposed to think critically. When we think critically, we are evaluating the outcomes of our thought processes--how good a decision is or how well a problem is solved. Critical thinking also involves evaluating the thinking process--the reasoning that went into the conclusion we’ve arrived at, or the kinds of factors considered in making a decision” ( Halpern and Dunn 2023, pp. 6–7 ). The reason we need a common definition of critical thinking is that, without it, instructors can and have passed almost anything off as instruction in critical thinking. However, common ground is to be found concerning CT definitions. In a European project, which we shall refer to in Section 4.3 , the critical thinking definition is based on the works of Halpern and Dunn ( 2023 ), Facione ( 1990 ), Paul and Elder ( 2008 ), and Kuhn ( 1999 ). During two debate sessions, 33 international participants from higher education and the labor market defined critical thinking as a deliberate cognitive process guided by conscious, dynamic, self-directed, self-monitored, and self-correcting thought ( Rebelo et al. 2023 ). It relies on both disciplinary and procedural knowledge, along with metacognitive aspects (including metacognitive, meta-strategic, and epistemological dimensions). Critical thinking can be cultivated and enhanced through the development of competencies, and it is facilitated by various attitudes, such as systematic thinking, open-mindedness, empathy, flexibility, and cognitive maturity. Additionally, it encompasses intellectual skills such as reflection, self-regulation, analysis, inference, explanation, synthesis, and systematic thought. Critical thinking not only stimulates problem-solving capabilities but also facilitates effective communication, fosters independent and holistic thinking, and bolsters decision-making and active citizenship ( Pnevmatikos et al. 2021 ).

2.1. Can Critical Thinking Be Learned?

We teach writing, oral communication, and mathematics with the (often implicit) belief that these skills will be learned and transferred to multiple settings both inside and outside of the classroom. There is a large and growing research literature showing that, with appropriate classroom instruction in critical thinking, including specific instruction designed for transfer, the skills will spontaneously transfer and in uncued (i.e., there are no reminders to use the critical thinking skill that was learned in class) situations ( Dumitru 2012 ; Heijltjes et al. 2014 ; Tiruneh 2019 ). Several such studies were presented by Dwyer ( 2017 ) and Halpern and Dunn ( 2023 ). For the sake of brevity, we review just one recent study. The study was designed to counteract the effects of conspiracy theories. When people believe conspiracy theories, they often act in harmful ways–such as refusing to get the COVID-19 vaccine, which resulted in the death of large numbers of people around the world, or attacking the United State Capitol Building on 6 January 2021 in the belief that there was a conspiracy afoot designed to steal the United States 2020 presidential election from Donald Trump. In a review of the research literature on the efficacy of interventions, the researchers found “there was one intervention which was characteristically different to the rest” ( O’Mahony et al. 2023, para. 23 ). It was a semester-long university course in critical thinking that was designed to teach students the difference between good scientific practices and pseudoscience. These courses require effort and commitment, but they are effective. The same conclusion applies to all interventions designed to enhance critical thinking. There are no fast and easy “once and done” strategies that work. This is why we recommend continuous and pervasive coursework to make sure that the learning of CT skills “sticks.”

2.2. The Need for Critical Thinking Skills

Online technologies-related (including AI) job loss and redesign are not the only reasons why we need to concentrate on teaching and learning the skills of critical thinking. COVID-19 left 140 million people out of work, and many of their jobs will never return ( Roslansky 2021 ). We are drowning in a tsunami of information, confronted with advertisements online, in news reports, social media, podcasts, and more. The need to be able to distinguish good information from bad is critical. In addition, employers want to hire people with critical thinking skills. In a recent report by Hart Research Associated ( 2018 ), they found that in an employer survey of 501 business executives, 78% said that critical thinking/analytic reasoning is the most important skill they want in their employees, but they also added that only 34% of college graduates arrive well prepared in critical thinking. This gap between what employers want and their perception of the preparedness of the workforce was larger for critical thinking than for any other area. In fact, every report on the future of work made this same point. Consider this quote from The World Economic Forum ( 2020 ) on the future of jobs: “Skills gaps continue to be high as in-demand skills across jobs change in the next five years. The top skills and skill groups which employers see as rising in prominence in the lead up to 2025 include groups such as critical thinking and analysis as well as problem-solving.” (p. 5). In a report from the Office of the European Union: Key Competences for Lifelong Learning, the commissioner wrote “Critical thinking, media literacy, and communication skills are some of the requirements to navigate our increasingly complex world” ( Navracsics 2019, p. 3 ). Of course, critical thinking is not just needed in the world of work. A true democracy requires an educated citizenry with citizens who can think critically about world social issues, such as the use/threat of AI, war, poverty, climate change, and so much more. Irrational voters are a threat to all of us—and to themselves.

The need to think critically is not new, but it has taken on a new urgency as social media and other forms of communication have made the deliberate spread of misinformation move at the speed of light. There is nothing new about the use of lies, half-truths, and innuendos to get people to believe something that is not true. Anyone can post anything on popular media sites, and this “fake news” is often copied and shared thousands of times. Sometimes the information is spread with a deliberate attempt to mislead; other times, it is copied and spread by people who believe it is true. These messages are often used to discredit political adversaries, create social unrest, and incite fear. It can be a difficult task to determine what to believe and what to discard. Vosoughi et al. ( 2018 ) analyzed data from 126,000 tweets that were spread by approximately 3 million people. How did the researchers discriminate true data from false data? The same way we all should. They used several different fact-checking sites and found 95% to 98% agreement regarding the truth or falsehood of information. They found that false data spread more quickly and more widely than true data because the false data tended to be novel and sensational, rendering it salient and seductive.

In today’s landscape, the imperative to foster critical thinking skills is becoming increasingly apparent as we grapple with the rapid rise of social media and artificial intelligence technologies and their profound impact on the future of work. The confluence of these transformative forces has ushered in a new era characterized by the potential for significant job disruption. As online technologies advance and automation becomes more widespread, certain traditional job roles may become obsolete, requiring the development of innovative skills and adaptability in the workforce. In this context, critical thinking emerges as a central element in preparing individuals to navigate the evolving job market. It equips individuals with the ability to analyze complex information, discern credible sources from the proliferation of social media information, and make informed decisions in an era of blurring boundaries between human and machine contributions to the workforce. Cultivating critical thinking skills will be essential to ensuring that individuals can take advantage of the opportunities presented by new technologies while mitigating the challenges of job disruption in this AI-driven future.

3. Critical Thinking Skills and Job Disruption and Replacement

Eloundou et al. in 2023 estimated that about 15% of all U.S. workers’ jobs could be accomplished much faster and at the same level of quality with currently available AI. There are large differences in the extent to which various occupations and industries will be affected by advancements in AI. For example, tasks that require a high degree of human interaction, highly specialized domain knowledge, or creating innovative technologies will be minimally affected; whereas, other occupations such as providing captions for images or answering questions about a text or document are more likely to be affected. Routine-based jobs in general are more likely to be dislodged by advanced technologies ( Acemoglu 2002 ). Using the basic definitions of skills that are standard in O*Net, Eloundou et al. ( 2023 ) found a clear negative correlation between jobs requiring knowledge of science and critical thinking skills and the likelihood that AI will “take over” the job. These findings reinforce our main point—the best way to gain job-proof skills is with critical thinking.

The effect of online technologies on wages is complicated because of the large number of factors that come together to determine earnings. Acemoglu and Autor ( 2011 ) advocated for a model that simultaneously considers the level of the tasks required for any job (low, medium, and high), where a high level of skill is defined as one that allows employees to perform a variety of tasks, the demand for the tasks, and technological changes that can complement a task or replace it. They assert that employment has become increasingly polarized with the growth in both high education, high wage occupations and low education, and low wage occupations in the United States and the European Union. To understand and predict which occupations will be most disrupted by AI (and other developing technologies), an investigator will need to simultaneously consider all of these variables. Technological advancements can generate shifts in demand, favoring either high- or low-skilled workers. According to Acemoglu and Autor ( 2011 ), we can expect some of the largest disruptive effects at the middle level of skills, where some of the tasks performed at this level can be more easily replaced by new technologies, with widespread employment growth in high- and low-skilled occupations.

4. Business-University Collaborations

The pursuit of promoting high standards of critical thinking in university students across various academic disciplines is a challenging endeavor that should be leveraged through collaboration with stakeholders. In such collaborations, stakeholders can contribute to refining the skills required by learners and bring their own perspectives to academic instruction. This close partnership between universities and stakeholders helps minimize gaps and mismatches in the transition to the labor market, facilitates research collaboration, and increases student motivation.

Collaborations between businesses and universities have gained increasing importance in today’s rapidly evolving educational and economic landscape. These partnerships are instrumental in bridging the gap between academic learning and the real-world skills demanded by the job market. One key aspect of business-university collaboration (BUC) is the alignment of curricula with the dynamic needs of industries. This entails the joint effort of higher education institutions (HEIs) and industry experts to design, develop, and deliver educational programs that equip students with practical, job-ready skills. The curriculum design phase involves tailoring study programs, courses, and modules to address skills gaps and align with the specific requirements of employers.

Moreover, BUC extends beyond the classroom. Collaborations often involve business engagement in educational activities, including guest lectures, internships, co-op programs, and research projects. These interactions provide students with invaluable exposure to real-world scenarios, allowing them to apply theoretical knowledge in practical settings.

In essence, BUC is a multifaceted partnership that benefits both students and businesses. It ensures that educational programs remain relevant, fostering a seamless transition from academia to the workforce. This collaborative approach not only enhances students’ employability but also contributes to the overall growth and innovation of industries.

Operationalizing the collaboration implicates a particular focus on curriculum design, development, and delivery. These involve the collaboration between higher education institutions and labor market partners to create or enhance undergraduate or postgraduate study programs, courses, or modules. This collaborative effort aims to address skills gaps, align curricula with employers’ needs, integrate training initiatives, and improve graduates’ employability. Additionally, curriculum delivery includes various forms of business involvement, such as guest lectures, placements, supervision, mentoring, and work-based learning activities.

While the existing literature often discusses the barriers and motivations for university-business collaboration ( Healy et al. 2014 ; Orazbayeva et al. 2020 ), there is a need for more empirical insights into the roles and responsibilities of each party engaged in joint curriculum design, development, and delivery, as well as lessons learned from these collaborations ( Rebelo et al. 2023 ).

4.1. Why Do We Need Higher Education’s Help?

In the preceding sections of this paper, we delved into the disruptive forces of artificial intelligence (AI) on the job market and the critical need for individuals to adapt to these changes by developing “job-proof skills”. The rise of online technologies such as ChatGPT presents both opportunities and challenges, particularly in fields where middle-level skills are required. To effectively tackle these challenges, we must turn our attention to the pivotal role of education and the cultivation of essential skills such as critical thinking.

We highlighted how AI is rapidly transforming various industries and the need for individuals to adapt to these changes. Moreover, we explored the question of whether critical thinking can be learned, showcasing research evidence that supports the teachability of this skill. Now, we shall explore practical strategies for fostering critical thinking skills through collaborations between universities and businesses. The idea here is to create an educational framework that equips students with the capabilities needed to thrive in the evolving workforce.

Building upon the success of two European projects, “Critical thinking across higher education curricula—CRITHINKEDU” and “Critical thinking for successful jobs—THINK4JOBS”, we argue that incorporating practical experience and CT development through apprenticeships is a possible action for better higher education classes. This collaborative approach between HEI and LMO designed to address the differing perspectives and terminologies used by these two entities regarding critical thinking could be an important curriculum design for the better adaptation of job market technology disruptions.

Research conducted by Eloundou et al. ( 2023 ), which shows that critical thinking skills and science skills are less likely to be taken by AI, compels us to sustain the THINK4JOBS apprenticeship curricula as a possible teaching protocol for critical thinking enhancement to face challenges posed by AI at work.

The results from these projects demonstrate significant progress in students’ critical thinking skills and dispositions. These improvements, as highlighted below in Section 4.3 , underscore the effectiveness of embedding critical thinking in the curriculum. The guidelines formulated for implementing Critical Thinking Blended Apprenticeship Curricula provide a roadmap for educators to follow when effectively integrating critical thinking into their courses.

As we ponder the possibility of a world where critical thinking is widespread, we can envision a future where individuals are equipped to confront the ideological fanaticism that threatens global stability. Critical thinking, as both a cognitive skill and a disposition, has the potential to shape a workforce capable of adapting to the ever-changing landscape of work, making informed decisions, and contributing to a more rational and democratic world. The THINK4JOBS project emphasizes the practical steps taken to prepare students for the future job market and sets the stage for further exploration of the role of critical thinking in addressing global challenges, including AI presence in the job market.

4.2. CRITHINKEDU Proctocol for Critical Thinking Education across Curricula

Given that the best education for the future of work is the acquisition of critical thinking skills, how can we facilitate this sort of education? One way to obtain a job-proof education is to create classes with the help of labor market organizations. Two projects funded by the European Union were designed to bring to life the idea that better communication and collaboration between universities and employers result in a better adaptation of the curriculum, especially a curriculum involving critical thinking skill development.

Between 2016 and 2019, the project “Critical thinking across the European higher education curriculum—CRITHINKEDU” focused on how CT is taught in various academic domains. The CRITHINKEDU project, involving universities across Europe, exemplifies how academia and industry can join forces to bridge the gap between classroom learning and real-world job demands. This initiative aimed to enhance the curriculum by explicitly emphasizing critical thinking skill development. It revealed that employers across various fields value critical thinking, and they perceive it as essential for recent graduates entering the workforce.

The participants were eleven universities from nine European countries (Belgium, Czech Republic, Greece, Italy, Spain, Portugal, Romania, Lithuania, and Ireland; Dominguez 2018). Qualitative research was conducted with 32 focus groups comprised of professionals from various European countries and fields. The findings align with previous studies: “CT is a set of interconnected skills (interpretation, inference, analysis, explanation, evaluation, self-regulation”, see Payan-Carreira et al. ( 2023, p. 16 ), and dispositions (open-mindedness, refection, attentiveness, organization, perseverance, intrinsic goal motivation ( Payan-Carreira et al. 2023 ), essential for recent graduates in response to labor market demands. However, an important consideration is that the practical application of CT varies across professional fields. The participants in this study defined the ideal critical thinker as someone with a cultivated mindset, motivated to learn and improve, and equipped with cognitive and behavioral tools to anticipate, regulate, and monitor their thinking. CT is associated with problem-solving and decision-making and is intertwined with other skills such as proactivity, adaptability, creativity, emotional intelligence, communication, and teamwork. The report from this project also introduced “a European collection of the Critical Thinking skills and dispositions needed in different professional fields for the 21st century” ( Dominguez 2018 ), which categorizes CT skills and dispositions based on professional fields and offers a basis for defining learning objectives and adapting university curricula. This study provides valuable insights from 189 European employers into CT needs in the labor market for new graduates. The interviewed professionals had an obvious preference for CT skills in STEM fields and an obvious preference for dispositions in the Humanities. Social Sciences and bio-medical sciences professionals were equally interested in CT skills and dispositions, with a slight preference for dispositions ( Dominguez 2018, p. 28 ).

4.3. Next Steps: THINK4JOBS Blended Appreticeship Curricula

After the termination of the CRITHINKEDU project, partners from Romania, Greece, Lithuania, and Portugal, with the addition of a new partner from Germany, proposed a new research application: “Critical Thinking for Successful Jobs—THINK4JOBS” ( www.think4jobs.uowm.gr ). The idea was to utilize the results from the previous project and, together with labor market organizations, create new courses that are more adapted to the reality of the future of work. The core element of the classes was explicit teaching of critical thinking, using real-life cases and methods. In an apprenticeship model, critical thinking skills are embedded in a relevant context. The value of realistic contexts is that students can see the need for the skills being taught in a workplace scenario. Relevant contexts enhance student engagement and motivation to learn. Dumitru et al. ( 2021 ) focused on improving students’ critical thinking skills and dispositions through collaboration between Higher Education Institutions (HEIs) and Labor Market Organizations (LMOs). The aim was to bridge the gap between HEI curricula and the expectations of the labor market by incorporating apprenticeships that provide practical experience and CT development.

The process of mapping responses from those in the labor market organizations onto college curricula involved the use of research methods such as observation, focus groups, and documentary analysis, with stakeholders from HEIs and LMOs participating. The findings indicated that while there were no definitive “gaps” between HEIs and LMOs, there were contextual differences in the approach to CT. HEIs focus on long-term career preparation, while LMOs emphasize short-term learning strategies. The terminology and expression of CT also differed between the two contexts. Based on the findings, ten work-based scenarios were created, with one from each discipline involved in the project. Overall, the report ( Dumitru et al. 2021 ) highlighted the different goals and perspectives of HEIs and LMOs regarding CT, emphasizing the need for collaboration and a common understanding of which skills should be included in the college curriculum.

There is a different context in the approach to CT, since HEIs usually use different learning activities, focusing more on career preparation with long-term goals, while LMOs follow compact and short-term learning and teaching strategies. Furthermore, the findings suggest that CT is a new workplace requirement and that HEIs and LMOs do not choose the same terminology when referring to the concept, with HEIs usually choosing scientific terms. Another element that emerged is that CT is generally expressed in a declarative way in higher education institutions, while in LMOs the application to specific cases follows a more procedural approach. Put another way, LMOs are focused on making a profit, while HEI is focused on being socially responsible.

In the second phase of the project, partners ( Pnevmatikos et al. 2021 ) focused on the development of a collaborative training curriculum for Higher Education Instructors and LMO tutors. The purpose of the training was to enhance comprehension and knowledge of critical thinking for both sides of this collaboration, since previous research indicated a potential lack of conceptual and procedural understanding between these two entities. Additionally, the training aimed to facilitate the promotion, support, and evaluation of students’ CT skills within apprenticeship curricula, as well as the creation of blended curricula utilizing an open-source learning platform. The training course encompassed workshops that delved into various aspects of CT, including analyzing and reassembling ideas about CT, formulating a working definition of CT, instructional methodologies, blended learning techniques, usage of a learning platform, CT assessment, and the development of a Memorandum of Understanding (MoU) between higher education institutions and LMOs. The participants’ knowledge about these topics was assessed through pre- and post-training online questionnaires. Although data analysis showed various predicted trends, only perceived self-confidence in the topics covered during the training obtained statistical significance ( Pnevmatikos et al. 2021 ).

In the final report from this project, Payan-Carreira et al. ( 2023 ) presented the results of the implementation of the critical thinking Blended Apprenticeships Curricula (CTBAC) and discussed the improvements in critical thinking skills and dispositions observed in students. The study involved cross-disciplinary analysis and assessed changes before and after the piloting activities. A total of 609 students participated, and their critical thinking skills and dispositions were evaluated.

The consortium chose the Critical Thinking Self-Assessment Scale (CTSAS) developed by Nair ( 2011 ) as an instrument to assess CT skills based on an earlier conceptualization ( Facione 1990 ). The questionnaire has been tested in various geographic and cultural contexts, demonstrating good reliability, internal consistency, and confirmatory factor analysis results. However, the original CTSAS was considered too long to complete, consisting of 115 items, so a shorter version was specifically developed for this project. The short form of the questionnaire (CTSAS-SF) was created through a two-step process. Items with loading weights below .500 were eliminated, resulting in 84 remaining items. Redundant and non-cognitive-focused items were marked for elimination, leaving 60 items. The short form maintained the original scale’s framework and utilized a seven-point Likert scale ranging from 0 (Never) to 6 (Always) for students to respond to items assessing various dimensions and subdimensions of CT skills.

The CTSAS-SF validation process, with confirmatory factor analysis, resulted in two models with equivalent satisfactory goodness-of-fit indices. Model 4, the second-order factor model (RMSEA = .051; TLI = .924; CFI = .927), had a chi-square/df ratio of 2.33. The Cronbach alpha of the overall instrument was excellent (α = .969). Sample items are shown in Table 1 .

Sample items forming Critical Thinking Self-Assessment Scale (CTSAS), Nair ( 2011 ).

NO. of ItemItemSkill
1 Interpretation
10 Analysis
22 Evaluation
31 Inference

Compared to instruments for assessing CT skills, the availability of instruments for measuring critical thinking (CT) dispositions is limited. However, one of the instruments adopted by the consortium to assess CT dispositions is the Student-Educator Negotiated Critical Thinking Dispositions Scale (SENCTDS), which was developed by Quinn et al. ( 2020 ). The scale was validated with a mixed population of Irish and American undergraduate students. The scale considers a variety of CT dispositions that the authors consider important for the labor market and real-world decision-making. Some of the items in the scale combine Facione ’s ( 1990 ) original CT dispositions into new dimensions that are relevant to academic and labor market success, such as organization, perseverance, and intrinsic goal motivation. The scale consists of six dimensions (Reflection, Attentiveness, Open-mindedness, Organization, Perseverance, and Intrinsic Goal Motivation) and presents statements for students to respond to using a 7-point Likert scale. The Likert scale ranges from 1 (strongly disagree) to 7 (strongly agree). The original version of the SENCTDS contains 21 items. The validation process, with confirmatory factor analysis, identified only one model presenting a satisfactory goodness-of-fit index—model 3, comprised of six correlated factors (RMSEA = .054; TLI = .974; CFI = .969) with a chi-square/df ratio of 2.57. The instrument presented a high Cronbach alpha (α = .842), suggesting a strong internal consistency of the instrument. Sample items are presented in Table 2 .

Sample items from Student-Educator Negotiated Critical Thinking Dispositions Scale (SENCTDS), developed by Quinn et al. ( 2020 ).

No. of ItemItemDisposition
2 Reflection
6 Attentiveness
11 Open-mindedness
13 Organization
21 Intrinsic goal motivation

The analysis showed gains in critical thinking skills and indicated that changes were more prominent in skills than dispositions. All skills (interpretation, analysis, inference, explanation, self-regulation, and evaluation) obtained significant differences between the pretest and posttest, with p ≤ .0001 to all skills, plus the integrated critical thinking skills score was t = 9.705 and p ≤ .0001, which demonstrates strong significant difference between pre- and the posttest. Dispositions displayed no significant differences regarding the integrated score, but showed significant differences in reflection (t = 1.766, p = .079), open-mindedness (t = 2.636, p = .009), organization (t = 2.568, p = .011), and intrinsic goal motivation (t = 1.712, p = .088).

Based on the findings from the implementation of the blended apprenticeship curricula, the following guidelines were formulated for implementing Critical Thinking Blended Apprenticeship Curricula ( Payan-Carreira et al. 2023 ):

  • Provide an explanation of the importance of critical thinking—Clearly communicate to students why critical thinking is a vital skill in today’s workforce and how it is valued in specific professions. Explicitly incorporate the development of critical thinking as an outcome of the course.
  • Emphasize continuous and pervasive CT training—To achieve success, there should be a concerted effort across disciplinary curricula to foster students’ critical thinking skills and dispositions. Skills require training, and dispositions necessitate the internalization of desired attitudes. Therefore, sufficient time and a collaborative approach at the disciplinary level are necessary for consistent and significant progress.
  • Allocate dedicated time—Building on the previous point, it is essential to allocate specific time within the course to work on the proposed critical thinking goals. Students and educators need to schedule activities and create opportunities for preparation, development, and feedback exchange. This ensures that the intervention leads to meaningful, lasting learning.
  • Establish connections with real-world scenarios—Foster student engagement and improve their perception of learning experiences by incorporating case studies that reflect situations professionals encounter in their daily work. By grounding the learning content in reality, students are more likely to be motivated and actively participate in the educational process.

Foster reflection on CT skills and dispositions—Offer students the chance to reflect on their reasoning processes and the attitudes they have developed throughout their learning experiences. Encouraging reflective thinking enhances the effectiveness of learning interventions and helps cultivate a deeper understanding of one’s experiences.

These steps aim to guide educators in effectively implementing the critical thinking blended apprenticeship curricula while also maximizing the impact of critical thinking development in students.

The two European projects made a great start in integrating the skills that employers want employees to learn from university curricula, but the results are nonetheless provisional. There is not a clear agreement among participating universities regarding how best to teach critical thinking, nor any regarding its importance for future jobs. We urge that more work should be done to nurture critical thinking within university curricula in order to provide our current students—who represent the future of the workforce—the much-wanted job-proof skills they need.

5. European Recommendations and Good Practices

Critical thinking stands as a pivotal goal for European Higher Education Institutions. To facilitate the attainment of this objective, we present an educational protocol that draws from comprehensive research and practical experiences, including insights from the CRITHINKEDU project. This protocol amalgamates insights from both theoretical and empirical studies on critical thinking with practical strategies for its cultivation.

Recommendations go toward signing memorandums of understanding between universities and labor market organizations to cultivate strong partnerships ( Rebelo et al. 2023 ). Effective collaboration between universities and businesses is crucial in fostering critical thinking. This partnership thrives on the synergy that results when academic institutions and businesses combine their expertise, resources, and perspectives. Strategies such as aligning goals, fostering long-term commitment, and promoting a culture of collaboration can strengthen these partnerships and ensure that academic research is harmoniously aligned with real-world needs.

Another recommendation relates to the formulation of compelling goals . Accurate and transparent goals are fundamental to the successful implementation of university-industry collaborations to promote critical thinking. These goals must be clearly defined and easily understood at multiple levels, from the institutional to the program and course levels. Recognition of critical thinking as an overarching goal implies its integration into assessment and evaluation processes.

Another recommendation is to develop flexible curricula . To effectively foster critical thinking, curricula must demonstrate adaptability and responsiveness to emerging trends and market demands. The use of agile curriculum design methodologies and the involvement of business partners in curriculum development is of great value. Approaches such as problem-based and case-based learning facilitate rapid adaptation to evolving market needs, such as the use of AI-powered software to solve work tasks better and faster. Regular feedback mechanisms and ongoing collaboration with business partners ensure that curricula remain relevant and flexible.

Incorporating real-world challenges and case studies into curricula bridges the gap between academia and the business world, creating an environment that encourages experiential learning. The active involvement of business stakeholders in providing relevant challenges plays a key role. Students’ problem-solving skills are enhanced by shifting from traditional teaching methods to project-based, problem-based, or case-based learning. Engaging students through apprenticeships, internships, guest lectures, and seminars immerses them in authentic work environments and fosters their professional development.

Ongoing, multi-faceted evaluation is a cornerstone of the collaboration between higher education and the business community to cultivate critical thinking. Assessment includes measuring learners’ progress in critical thinking, the effectiveness of curricula, and the impact of partnerships through the use of key performance indicators.

Regarding how to implement a critical thinking curriculum, pedagogical research ( Elen et al. 2019 ) suggests that in the development of critical thinking, whether it is regarded as a skill, disposition, or a combination of both, three categories of supportive measures can be identified: modeling, induction, and declaration.

Modeling: Support the development of critical thinking skills by demonstrating what it means to think critically at the institutional, programmatic, and course levels, considering multiple perspectives and alternative viewpoints.

Induction: Support critical thinking development by provoking critical thinking through the presentation of open-ended questions, unstructured tasks, complex problems, and real-world issues. The exact nature of “induction” and how it is implemented may vary across fields and disciplines. Induction can be carried out in a variety of ways; for example, presenting unstructured problems, providing authentic tasks, encouraging constructive controversy, asking “why” questions, or encouraging student autonomy.

Explanation: Promote the development of critical thinking by articulating or explicitly stating what is at stake, what strategies can be used, and what criteria must be met. This explanation can take the form of oral or written communication and should always be explicit and specific. Declaring and making things explicit can be accomplished in a variety of ways, including using critical thinking rubrics, developing elaborate concept maps, providing feedback on critical thinking, and engaging in discussion and reflection on critical issues.

This integrated approach, encompassing university-business collaboration and an educational protocol, underscores the significance of critical thinking in higher education. It provides a structured framework for nurturing this essential skill by aligning objectives, fostering partnerships, adapting curricula, and implementing ongoing evaluation practices. In doing so, educational institutions are better poised to equip students with the critical thinking skills needed to thrive in a rapidly evolving world.

6. Concluding Remarks or Can Critical THINKING Save the World?

In summary, the dynamic interaction between universities, businesses, and the evolving technology landscape, including the rise of artificial intelligence (AI) and online technologies, underscore the critical need to nurture and develop students’ critical thinking skills. As we navigate the challenges posed by AI and the ever-expanding digital realm, collaborative efforts between academia and industry have proven to be instrumental in preparing students for the future job market.

Incorporating real-world experiences, such as apprenticeships, into the curriculum is an important step toward improving students’ critical thinking skills in real-world contexts. Projects such as “Critical thinking across higher education curricula—CRITHINKEDU” and “Critical thinking for successful jobs—THINK4JOBS” have demonstrated the potential of these collaborations to bridge the gap between classroom learning and industry needs. In addition, the development of flexible curricula that can adapt to the evolving needs of the job market, especially considering online technologies, is essential. By integrating real-world challenges and case studies into the curriculum, students gain valuable problem-solving skills and are better prepared to navigate the complexities of the digital age.

Ongoing assessment and evaluation are critical components of this collaborative effort, ensuring that critical thinking remains a central focus and that students are making meaningful progress in acquiring this essential skill.

With the disruption of AI and the ubiquity of online technologies, the integration of critical thinking into higher education curricula is more important than ever. It enables students not only to thrive in a technology-driven world, but also to contribute to a rational, democratic, and globally interconnected society. The partnerships forged between universities and businesses, along with a well-defined educational protocol, provide a roadmap for cultivating these essential skills and preparing students for the challenges and opportunities of the future job market. The imperative to foster critical thinking in university curricula remains a fundamental step in equipping tomorrow’s workforce to navigate the complexities of an AI-influenced job market and a rapidly changing world.

Lilienfeld ( 2007, para. 3 ) said it well: “The greatest threat to the world is ideological fanaticism, by ideological fanaticism I mean the unshakeable conviction that one’s belief system and that of other in-group members is always right and righteous and that others’ belief systems are always wrong and wrong-headed”. Imagine a world where (most or even many) people use the skills of critical thinking. Just maybe, CT could save the world.

The job market will require a psychologically adaptable toolkit, and we propose that critical thinking is an essential component therein. The disruptions imposed by new technological advances such as AI will require students to learn new employable skills because we will need not just an engineer, but a critical thinking engineer; not just a programmer, but a critical thinking programmer; and not just a journalist, but a critical thinking journalist. The dignity of workers—their humanity and our collective survival—may well depend on CT, a very human creation.

Acknowledgments

We sincerely thank Dana Dunn, Moravian University, for comments on an earlier version of this manuscript.

Funding Statement

Daniela Dumitru received funding from European Commission/EACEA, through the ERASMUS+ Programme, “Critical Thinking for Successful Jobs—Think4Jobs” Project, with the reference number 2020-1-EL01-KA203-078797.

Author Contributions

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

Conflicts of Interest

The authors declare no conflict of interest.

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CRITICAL THINKING AS A 21st CENTURY SKILL: CONCEPTIONS, IMPLEMENTATION AND CHALLENGES IN THE EFL CLASSROOM

This qualitative research explores the conceptions, implementation and challenges of critical thinking in the FL classroom. 24 Libyan EFL university instructors participated in this study though completing an open-ended questionnaire sent via FB messenger. The content analysis applied to the participants’ answers revealed different conceptions and misconceptions of critical thinking. It also revealed that the majority of the participants implemented critical thinking in different aspects of their teaching. Some social, cultural and administrative barriers limited the effectiveness of this implementation. Nevertheless, the development of this kind of thinking for 21 st century EFL learners is a necessity, not an option.

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  • What Is Critical Thinking? | Definition & Examples

What Is Critical Thinking? | Definition & Examples

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

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

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

Critical thinking skills help you to:

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

Table of contents

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

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

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

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

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

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

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critical thinking research gate

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

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

Academic examples

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

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

Nonacademic examples

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

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

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

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

When encountering information, ask:

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

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

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

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

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

 Plagiarism

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

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

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

Critical thinking skills include the ability to:

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

Ask questions such as:

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

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

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

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

Being information literate means that you:

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

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

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

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

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COMMENTS

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  2. (PDF) Critical Thinking Skills

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    In recent decades, approaches to critical thinking have generally taken a practical turn, pivoting away from more abstract accounts - such as emphasizing the logical relations that hold between statements (Ennis, 1964) - and moving toward an emphasis on belief and action.According to the definition that Robert Ennis (2018) has been advocating for the last few decades, critical thinking is ...

  5. Revisiting the notion of critical thinking in higher education

    Critical thinking in higher education. The origin of the modern conception of critical thinking, according to Ritola (Citation 2021), can be attributed to John Dewey's (Citation 1933) philosophy about reflective thinking, which is understood as an active consideration of a belief that leads to knowledge based on grounds.In other words, reflective thinking is a conscious effort involving ...

  6. (PDF) Defining Critical Thinking

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  8. Metacognitive Strategies and Development of Critical Thinking in Higher

    We understand that "critical thinking is a knowledge-seeking process via reasoning skills to solve problems and make decisions which allows us to more effectively achieve our desired results" (Saiz and Rivas, 2008, p. 131). Thinking effectively is desirable in all areas of individual and collective action. Currently, the background of the ...

  9. Critical Thinking and it's Importance in Education

    Critical thinking occurs when students are. analyzing, evaluating, in terpreting, or synthesizing information and applying. creative thought to form an argument, solve a problem, or reach a ...

  10. Critical Thinking: Creating Job-Proof Skills for the Future of Work

    Critical thinking, as both a cognitive skill and a disposition, has the potential to shape a workforce capable of adapting to the ever-changing landscape of work, making informed decisions, and contributing to a more rational and democratic world. The THINK4JOBS project emphasizes the practical steps taken to prepare students for the future job ...

  11. (PDF) Critical Thinking Skills in Education: A ...

    Email: [email protected], [email protected]. Abstract. Many educators' goals include preparing students to think critically, which is also a quality. sought by employers of university ...

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    Reed, J.H. 1998. Effect of a model for critical thinking on students' achievement in primary source document analysis and interpretation, argumentative reasoning, critical thinking disposition and history content in a community college course. (a PhD dissertation) University of south Florida. Retrieved April 28, 2018 from www.criticalthinking.org.

  13. What Is Critical Thinking?

    Critical thinking is the ability to effectively analyze information and form a judgment. To think critically, you must be aware of your own biases and assumptions when encountering information, and apply consistent standards when evaluating sources. Critical thinking skills help you to: Identify credible sources. Evaluate and respond to arguments.

  14. Thinking Critically about Critical Thinking in Higher Education

    According to Ennis (Nitko & Brookhart, 2011), critical thinking is defined as reasonable and reflective thinking, namely focusing on deciding what to believe and do. Llyod & Bahr (2010) state that ...

  15. (PDF) Exploring the Connection between Critical Thinking ...

    The teaching of critical thinking skills can be embedded in the teaching of writing in the classroom. This study explores the connection between critical thinking skills and academic writing. It ...

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  17. Critical Thinking: Theory, Research, Practice, and Possibilities

    PDF | On Oct 1, 1990, Novella Keith and others published Critical Thinking: Theory, Research, Practice, and Possibilities | Find, read and cite all the research you need on ResearchGate

  18. (PDF) The Importance of Critical Thinking on Teaching ...

    In short, critical thinking do es help you gain kno w-. ledge, and knowledge, as commonly obser ved, is a kind of power (Barry, 1984). Critical thinking does not entail nitpicking. Nitpicking is ...

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    Investigation of Critical Thinking Disposition in a University Hospital of Nurses Working in Turkey PhD RN, Assistant Professor, 2 (3), 143-149. Download Citation | On Jun 29, 2018, Purna Bayu ...

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    Critical thinking is a 21st-century skill that has a double function; it contributes to personal progress and social development. In line with the widespread attention critical thinking skills ...

  21. The Research on Critical Thinking Teaching Strategies in College

    Chart 3 showed the teachers' answers to the critical thinking skills that were. used in the English clas srooms. The most c ommon one was infere nces, followed. by evaluation, analy sis ...

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    Graph of the Average Initial Score, Final Score, and N-Gain Critical Thinking Note: (1) accurate and seeking accuracy, (2) clearly seeking clarity, (3) being open, (4) able to provide ideas, (5 ...

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