Share to: share facebook share twitter share wa share telegram print page

 

Metacognition

Metacognition and self directed learning

Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of".[1] Metacognition can take many forms, such as reflecting on one's ways of thinking, and knowing when and how oneself and others use particular strategies for problem-solving.[1][2] There are generally two components of metacognition: (1) cognitive conceptions and (2) cognitive regulation system.[3][4] Research has shown that both components of metacognition play key roles in metaconceptual knowledge and learning.[5][6][4] Metamemory, defined as knowing about memory and mnemonic strategies, is an important aspect of metacognition.[7]

Writings on metacognition date back at least as far as two works by the Greek philosopher Aristotle (384–322 BC): On the Soul and the Parva Naturalia.[8]

Definitions

Cognitive psychology
Perception
Attention
Memory
Metacognition
Language
Metalanguage
Thinking
Numerical cognition

This higher-level cognition was given the label metacognition by American developmental psychologist John H. Flavell (1976).[9]

The term metacognition literally means 'above cognition', and is used to indicate cognition about cognition, or more informally, thinking about thinking. Flavell defined metacognition as knowledge about cognition and control of cognition. For example, a person is engaging in metacognition if they notice that they are having more trouble learning A than B, or if it strikes them that they should double-check C before accepting it as fact. J. H. Flavell (1976, p. 232). Andreas Demetriou's theory (one of the neo-Piagetian theories of cognitive development) used the term hyper-cognition to refer to self-monitoring, self-representation, and self-regulation processes, which are regarded as integral components of the human mind.[10] Moreover, with his colleagues, he showed that these processes participate in general intelligence, together with processing efficiency and reasoning, which have traditionally been considered to compose fluid intelligence.[11][12]

Metacognition also involves thinking about one's own thinking process such as study skills, memory capabilities, and the ability to monitor learning.[citation needed] This concept needs to be explicitly taught along with content instruction.[13] A pithy statement from M.D. Gall et al. is often cited in this respect: "Learning how to learn cannot be left to students. It must be taught."[14]

Metacognition is a general term encompassing the study of memory-monitoring and self-regulation, meta-reasoning, consciousness/awareness and autonoetic consciousness/self-awareness. In practice these capacities are used to regulate one's own cognition, to maximize one's potential to think, learn and to the evaluation of proper ethical/moral rules. It can also lead to a reduction in response time for a given situation as a result of heightened awareness, and potentially reduce the time to complete problems or tasks.

In the context of student metacognition, D. N. Perkins and Gavriel Salomon observe that metacognition concerns students' ability to monitor their progress. During this process, students ask questions like “What am I doing now?”, “Is it getting me anywhere?", and “What else could I be doing instead?”. Perkins and Salomon argue that such metacognitive practices help students to avoid unproductive approaches.[15]

In the domain of experimental psychology, an influential distinction in metacognition (proposed by T. O. Nelson & L. Narens) is between Monitoring—making judgments about the strength of one's memories—and Control—using those judgments to guide behavior (in particular, to guide study choices). Dunlosky, Serra, and Baker (2007) covered this distinction in a review of metamemory research that focused on how findings from this domain can be applied to other areas of applied research.

In the domain of cognitive neuroscience, metacognitive monitoring and control has been viewed as a function of the prefrontal cortex, which receives (monitors) sensory signals from other cortical regions and implements control using feedback loops (see chapters by Schwartz & Bacon and Shimamura, in Dunlosky & Bjork, 2008).[7]

Metacognition is studied in the domain of artificial intelligence and modelling.[16] Therefore, it is the domain of interest of emergent systemics.

Concepts and models

Metacognition has two interacting phenomena guided by a person's cognitive regulation:[2]

  1. Metacognitive knowledge (also called metacognitive awareness) is what individuals know about themselves and others like beliefs about thinking and such, as cognitive processors.
  2. Metacognitive experiences are those experiences that have something to do with the current, on-going cognitive endeavor.

Metacognition refers to a level of thinking and metacognitive regulation, the regulation of cognition and subsequent learning experiences that help people enhance their learning through a set of activities. It involves active metacognitive control or attention over the process in learning situations. The skills that aid in regulation involve planning the way to approach a learning task, monitoring comprehension, and evaluating progress towards the completion of a task.

Metacognition includes at least three different types of metacognitive awareness when considering metacognitive knowledge:[17]

  1. Declarative knowledge: refers to knowledge about oneself as a learner and about what factors can influence one's performance.[3] Declarative knowledge can also be referred to as "world knowledge".[18]
  2. Procedural knowledge: refers to knowledge about doing things. This type of knowledge is displayed as heuristics and strategies.[3] A high degree of procedural knowledge can allow individuals to perform tasks more automatically. This is achieved through a large variety of strategies that can be accessed more efficiently.[19]
  3. Conditional knowledge: refers to knowing when and why to use declarative and procedural knowledge.[20] It allows students to allocate their resources when using strategies. This in turn allows the strategies to become more effective.[21]

These types of metacognitive knowledge also include:

  • Content knowledge (declarative knowledge) which is understanding one's own capabilities, such as a student evaluating their own knowledge of a subject in a class. It is notable that not all metacognition is accurate. Studies have shown that students often mistake lack of effort with understanding in evaluating themselves and their overall knowledge of a concept.[22] Also, greater confidence in having performed well is associated with less accurate metacognitive judgment of the performance.[23]
  • Task knowledge (procedural knowledge), which is how one perceives the difficulty of a task which is the content, length, and the type of assignment. The study mentioned in Content knowledge also deals with a person's ability to evaluate the difficulty of a task related to their overall performance on the task. Again, the accuracy of this knowledge was skewed as students who thought their way was better/easier also seemed to perform worse on evaluations, while students who were rigorously and continually evaluated reported to not be as confident but still did better on initial evaluations.
  • Strategic knowledge (conditional knowledge) is one's own capability for using strategies to learn information. Young children are not particularly good at this; it is not until students are in upper elementary school that they begin to develop an understanding of effective strategies.

In short, strategic knowledge involves knowing what (factual or declarative knowledge), knowing when and why (conditional or contextual knowledge) and knowing how (procedural or methodological knowledge).

Similar to metacognitive knowledge, metacognitive regulation or "regulation of cognition" contains three skills that are essential.[3][24]

  1. Planning: refers to the appropriate selection of strategies and the correct allocation of resources that affect task performance.
  2. Monitoring: refers to one's awareness of comprehension and task performance
  3. Evaluating: refers to appraising the final product of a task and the efficiency at which the task was performed. This can include re-evaluating strategies that were used.

Metacognitive control is an important skill in cognitive regulation, it is about focusing cognitive resources on relevant information.[25] Similarly, maintaining motivation to see a task to completion is also a metacognitive skill that is closely associated with the attentional control. The ability to become aware of distracting stimuli – both internal and external – and sustain effort over time also involves metacognitive or executive functions. Swanson (1990) found that metacognitive knowledge can compensate for IQ and lack of prior knowledge when comparing fifth and sixth grade students' problem solving. Students with a better metacognition were reported to have used fewer strategies, but solved problems more effectively than students with poor metacognition, regardless of IQ or prior knowledge.[26]

A lack of awareness of one's own knowledge, thoughts, feelings, and adaptive strategies leads to inefficient control over them. Hence, metacognition is a necessary life skill that needs nurturing to improve one's quality of life. Maladaptive use of metacognitive skills in response to stress can strengthen negative psychological states and social responses, potentially leading to psychosocial dysfunction. Examples of maladaptive metacognitive skills include worry based on inaccurate cognitive conceptions, rumination, and hypervigilance. Continuous cycles of negative cognitive conceptions and the associated emotional burden often lead to negative coping strategies such as avoidance and suppression. These can foster pervasive learned helplessness and impair the formation of executive functions, negatively affecting an individual's quality of life.[27]

The theory of metacognition plays a critical role in successful learning, and it's important for both students and teachers to demonstrate understanding of it. Students who underwent metacognitive training including pretesting, self evaluation, and creating study plans performed better on exams.[28] They are self-regulated learners who utilize the "right tool for the job" and modify learning strategies and skills based on their awareness of effectiveness. Individuals with a high level of metacognitive knowledge and skill identify blocks to learning as early as possible and change "tools" or strategies to ensure goal attainment. A broader repertoire of "tools" also assists in goal attainment. When "tools" are general, generic, and context independent, they are more likely to be useful in different types of learning needs. In one study examining students who received text messages during college lectures, it was suggested that students with higher metacognitive self-regulation were less likely than other students to have their learning affected by keeping mobile phones switched on in classes.[29]

Finally, there is no distinction between domain-general and domain-specific metacognitive skills. This means that metacognitive skills are domain-general in nature and there are no specific skills for certain subject areas. The metacognitive skills that are used to review an essay are the same as those that are used to verify an answer to a math question.[30]

A number of theorists have proposed a common mechanism behind theory of mind, the ability to model and understand the mental states of others, and metacognition, which involves a theory of one's own mind's function. Direct evidence for this link is limited.[31]

Several researchers have related mindfulness to metacognition. Mindfulness includes at least two mental processes: a stream of mental events and a higher level awareness of the flow of events.[32] Mindfulness can be distinguished from some metacognition processes in that it is a conscious process.[33]: 137 

Social metacognition

Although metacognition has thus far been discussed in relation to the self, recent research in the field has suggested that this view is overly restrictive.[34] Instead, it is argued that metacognition research should also include beliefs about others' mental processes, the influence of culture on those beliefs, and on beliefs about ourselves. This "expansionist view" proposes that it is impossible to fully understand metacognition without considering the situational norms and cultural expectations that influence those same conceptions. This combination of social psychology and metacognition is referred to as social metacognition.

Social metacognition can include ideas and perceptions that relate to social cognition. Additionally, social metacognition can include judging the cognition of others, such as judging the perceptions and emotional states of others.[34] This is in part because the process of judging others is similar to judging the self.[34] However, individuals have less information about the people they are judging; therefore, judging others tends to be more inaccurate; an effect called the fundamental attribution error.[34][35] Having similar cognitions can buffer against this inaccuracy and can be helpful for teams or organizations, as well as interpersonal relationships.

Social metacognition and the self concept

An example of the interaction between social metacognition and self-concept can be found in examining implicit theories about the self. Implicit theories can cover a wide range of constructs about how the self operates, but two are especially relevant here; entity theory and incrementalist theory.[36] Entity theory proposes that an individual's self-attributes and abilities are fixed and stable, while incrementalist theory proposes that these same constructs can be changed through effort and experience. Entity theorists are susceptible to learned helplessness because they may feel that circumstances are outside their control (i.e. there's nothing that could have been done to make things better), thus they may give up easily. Incremental theorists react differently when faced with failure: they desire to master challenges, and therefore adopt a mastery-oriented pattern. They immediately began to consider various ways that they could approach the task differently, and they increase their efforts. Cultural beliefs can act on this as well. For example, a person who has accepted a cultural belief that memory loss is an unavoidable consequence of old age may avoid cognitively demanding tasks as they age, thus accelerating cognitive decline.[37] Similarly, a woman who is aware of the stereotype that purports that women are not good at mathematics may perform worse on tests of mathematical ability or avoid mathematics altogether.[38] These examples demonstrate that the metacognitive beliefs people hold about the self - which may be socially or culturally transmitted - can have important effects on persistence, performance, and motivation.

Attitudes as a function of social metacognition

The way that individuals think about attitude greatly affects the way that they behave. Metacognitions about attitudes influence how individuals act, and especially how they interact with others.[39]

Some metacognitive characteristics of attitudes include importance, certainty, and perceived knowledge, and they influence behavior in different ways.[39] Attitude importance is the strongest predictor of behavior and can predict information seeking behaviors in individuals. Attitude importance is also more likely to influence behavior than certainty of the attitude.[39] When considering a social behavior like voting a person may hold high importance but low certainty. This means that they will likely vote, even if they are unsure whom to vote for. Meanwhile, a person who is very certain of who they want to vote for, may not actually vote if it is of low importance to them. This also applies to interpersonal relationships. A person might hold a lot of favorable knowledge about their family, but they may not maintain close relations with their family if it is of low importance.

Metacognitive characteristics of attitudes may be key to understanding how attitudes change. Research shows that the frequency of positive or negative thoughts is the biggest factor in attitude change.[40] A person may believe that climate change is occurring but have negative thoughts toward it such as "If I accept the responsibilities of climate change, I must change my lifestyle". These individuals would not likely change their behavior compared to someone that thinks positively about the same issue such as "By using less electricity, I will be helping the planet".

Another way to increase the likelihood of behavior change is by influencing the source of the attitude. An individual's personal thoughts and ideas have a much greater impact on the attitude compared to ideas of others.[40] Therefore, when people view lifestyle changes as coming from themselves, the effects are more powerful than if the changes were coming from a friend or family member. These thoughts can be re-framed in a way that emphasizes personal importance, such as "I want to stop smoking because it is important to me" rather than "quitting smoking is important to my family". More research needs to be conducted on culture differences and importance of group ideology, which may alter these results.

Social metacognition and stereotypes

People have secondary cognitions about the appropriateness, justifiability, and social judgability of their own stereotypic beliefs.[41] People know that it is typically unacceptable to make stereotypical judgments and make conscious efforts not to do so. Subtle social cues can influence these conscious efforts. For example, when given a false sense of confidence about their ability to judge others, people will return to relying on social stereotypes.[42] Cultural backgrounds influence social metacognitive assumptions, including stereotypes. For example, cultures without the stereotype that memory declines with old age display no age differences in memory performance.[37]

When it comes to making judgments about other people, implicit theories about the stability versus malleability of human characteristics predict differences in social stereotyping as well. Holding an entity theory of traits increases the tendency for people to see similarity among group members and utilize stereotyped judgments. For example, compared to those holding incremental beliefs, people who hold entity beliefs of traits use more stereotypical trait judgments of ethnic and occupational groups as well as form more extreme trait judgments of new groups.[43] When an individual's assumptions about a group combine with their implicit theories, more stereotypical judgments may be formed.[44] Stereotypes that one believes others hold about them are called metastereotypes.

Animal metacognition

In nonhuman primates

Chimpanzees

Beran, Smith, and Perdue (2013) found that chimpanzees showed metacognitive monitoring in the information-seeking task.[45] In their studies, three language-trained chimpanzees were asked to use the keyboard to name the food item in order to get the food. The food in the container was either visible to them or they had to move toward the container to see its contents. Studies shown that chimpanzees were more often to check what was in the container first if the food in the container was hidden. But when the food was visible to them, the chimpanzees were more likely to directly approach the keyboard and reported the identity of the food without looking again in the container. Their results suggested that chimpanzees know what they have seen and show effective information-seeking behavior when information is incomplete.

Rhesus macaques (Macaca mulatta)

Morgan et al. (2014) investigated whether rhesus macaques can make both retrospective and prospective metacognitive judgments on the same memory task.[46] Risk choices were introduced to assess the monkey's confidence about their memories. Two male rhesus monkeys (Macaca mulatta) were trained in a computerized token economy task first in which they can accumulate tokens to exchange food rewards. Monkeys were presented with multiple images of common objects simultaneously and then a moving border appearing on the screen indicating the target. Immediately following the presentation, the target images and some distractors were shown in the test. During the training phase, monkeys received immediate feedback after they made responses. They can earn two tokens if they make correct choices but lost two tokens if they were wrong.

In Experiment 1, the confidence rating was introduced after they completed their responses in order to test the retrospective metamemory judgments. After each response, a high-risk and a low-risk choice were provided to the monkeys. They could earn one token regardless of their accuracy if they choose the low-risk option. When they chose high-risk, they were rewarded with three tokens if their memory response was correct on that trial but lost three tokens if they made incorrect responses. Morgan and colleagues (2014) found a significant positive correlation between memory accuracy and risk choice in two rhesus monkeys. That is, they were more likely to select the high-risk option if they answered correctly in the working memory task but select the low-risk option if they were failed in the memory task.

Then Morgan et al. (2014) examine monkeys’ prospective metacognitive monitoring skills in Experiment 2. This study employed the same design except that two monkeys were asked to make low-risk or high-risk confidence judgment before they make actual responses to measure their judgments about future events. Similarly, the monkeys were more often to choose high-risk confidence judgment before answering correctly in working memory task and tended to choose the low-risk option before providing an incorrect response. These two studies indicated that rhesus monkeys can accurately monitor their performance and provided evidence of metacognitive abilities in monkeys.

In rats

In addition to nonhuman primates, other animals are also shown metacognition. Foote and Crystal (2007) provided the first evidence that rats have the knowledge of what they know in a perceptual discrimination task.[47] Rats were required to classify brief noises as short or long. Some noises with intermediate durations were difficult to discriminate as short or long. Rats were provided with an option to decline to take the test on some trials but were forced to make responses on other trials. If they chose to take the test and respond correctly, they would receive a high reward but no reward if their classification of noises was incorrect. But if the rats decline to take the test, they would be guaranteed a smaller reward. The results showed that rats were more likely to decline to take the test when the difficulty of noise discrimination increased, suggesting rats knew they do not have the correct answers and declined to take the test to receive the reward. Another finding is that the performance was better when they had chosen to take the test compared with if the rats were forced to make responses, proving that some uncertain trials were declined to improve the accuracy.

These responses pattern might be attributed to actively monitor their own mental states. Alternatively, external cues such as environmental cue associations could be used to explain their behaviors in the discrimination task. Rats might have learned the association between intermediate stimuli and the decline option over time. Longer response latencies or some features inherent to stimuli can serve as discriminative cues to decline tests. Therefore, Templer, Lee, and Preston (2017) utilized an olfactory-based delayed match to sample (DMTS) memory task to assess whether rats were capable of metacognitive responding adaptively.[48] Rats were exposed to sample odor first and chose to either decline or take the four-choice memory test after a delay. The correct choices of odor were associated with high reward and incorrect choices have no reward. The decline options were accompanied by a small reward.

In experiment 2, some “no-sample” trials were added in the memory test in which no odor was provided before the test. They hypothesized that rats would decline more often when there was no sample odor presented compared with odor presented if rats could internally assess the memory strength. Alternatively, if the decline option was motivated by external environmental cues, the rats would be less likely to decline the test because no available external cues were presented. The results showed that rats were more likely to decline the test in no-sample trials relative to normal sample trials, supporting the notion that rats can track their internal memory strength.

To rule out other potential possibilities, they also manipulated memory strength by providing the sampled odor twice and varying the retention interval between the learning and the test. Templer and colleagues (2017) found rats were less likely to decline the test if they had been exposed to the sample twice, suggesting that their memory strength for these samples was increased. Longer delayed sample test was more often declined than short delayed test because their memory was better after the short delay. Overall, their series of studies demonstrated that rats could distinguish between remembering and forgetting and rule out the possibilities that decline use was modulated by the external cues such as environmental cue associations.

In pigeons

Research on metacognition of pigeons has shown limited success. Inman and Shettleworth (1999) employed the delayed match to sample (DMTS) procedure to test pigeons’ metacognition.[49] Pigeons were presented with one of three sample shapes (a triangle, a square, or a star) and then they were required to peck the matched sample when three stimuli simultaneously appeared on the screen at the end of the retention interval. A safe key was also presented in some trials next to three sample stimuli which allow them to decline that trial. Pigeons received a high reward for pecking correct stimuli, a middle-level reward for pecking the safe key, and nothing if they pecked the wrong stimuli. Inman and Shettleworth's (1999) first experiment found that pigeons’ accuracies were lower and they were more likely to choose the safe key as the retention interval between presentation of stimuli and test increased. However, in Experiment 2, when pigeons were presented with the option to escape or take the test before the test phase, there was no relationship between choosing the safe key and longer retention interval. Adams and Santi (2011) also employed the DMTS procedure in a perceptual discrimination task during which pigeons were trained to discriminate between durations of illumination.[50] Pigeons did not choose the escape option more often as the retention interval increased during initial testing. After extended training, they learned to escape the difficult trials. However, these patterns might be attributed to the possibility that pigeons learned the association between escape responses and longer retention delay.[51]

In addition to DMTS paradigm, Castro and Wasserman (2013) proved that pigeons can exhibit adaptive and efficient information-seeking behavior in the same-different discrimination task.[52] Two arrays of items were presented simultaneously in which the two sets of items were either identical or different from one another. Pigeons were required to distinguish between the two arrays of items in which the level of difficulty was varied. Pigeons were provided with an “Information” button and a “Go” button on some trials that they could increase the number of items in the arrays to make the discrimination easier or they can prompt to make responses by pecking the Go button. Castro and Wasserman found that the more difficult the task, the more often pigeons chose the information button to solve the discrimination task. This behavioral pattern indicated that pigeons could evaluate the difficulty of the task internally and actively search for information when is necessary.

In dogs

Dogs have shown a certain level of metacognition that they are sensitive to information they have acquired or not. Belger & Bräuer (2018) examined whether dogs could seek additional information when facing uncertain situations.[53] The experimenter put the reward behind one of the two fences in which dogs can see or cannot see where the reward was hidden. After that, dogs were encouraged to find the reward by walking around one fence. The dogs checked more frequently before selecting the fence when they did not see the baiting process compared with when they saw where the reward was hidden. However, contrary to apes,[54] dogs did not show more checking behaviors when the delay between baiting the reward and selecting the fence was longer. Their findings suggested that dogs have some aspect of information-searching behaviors but less flexibly compared to apes.

In dolphins

Smith et al. (1995) evaluated whether dolphins have the ability of metacognitive monitoring in an auditory threshold paradigm.[55] A bottlenosed dolphin was trained to discriminate between high-frequency tones and low-frequency tones. An escape option was available on some trials associated with a small reward. Their studies showed that dolphins could appropriately use the uncertain response when the trials were difficult to discriminate.

Debate

There is consensus that nonhuman primates, especially great apes and rhesus monkeys, exhibit metacognitive control and monitoring behaviors.[56] But less convergent evidence was found in other animals such as rats and pigeons.[57] Some researchers criticized these methods and posited that these performances might be accounted for by low-level conditioning mechanisms.[58] Animals learned the association between reward and external stimuli through simple reinforcement models. However, many studies have demonstrated that the reinforcement model alone cannot explain animals’ behavioral patterns. Animals have shown adaptive metacognitive behavior even with the absence of concrete reward.[59][60]

Strategies

Metacognitive-like processes are especially ubiquitous when it comes to the discussion of self-regulated learning. Self-regulation requires metacognition by looking at one's awareness of their learning and planning further learning methodology.[61] Attentive metacognition is a salient feature of good self-regulated learners, but does not guarantee automatic application.[62] Reinforcing collective discussion of metacognition is a salient feature of self-critical and self-regulating social groups.[62] The activities of strategy selection and application include those concerned with an ongoing attempt to plan, check, monitor, select, revise, evaluate, etc.

Metacognition is 'stable' in that learners' initial decisions derive from the pertinent facts about their cognition through years of learning experience. Simultaneously, it is also 'situated' in the sense that it depends on learners' familiarity with the task, motivation, emotion, and so forth. Individuals need to regulate their thoughts about the strategy they are using and adjust it based on the situation to which the strategy is being applied. At a professional level, this has led to emphasis on the development of reflective practice, particularly in the education and health-care professions.

Recently, the notion has been applied to the study of second language learners in the field of TESOL and applied linguistics in general (e.g., Wenden, 1987; Zhang, 2001, 2010). This new development has been much related to Flavell (1979), where the notion of metacognition is elaborated within a tripartite theoretical framework. Learner metacognition is defined and investigated by examining their person knowledge, task knowledge and strategy knowledge.

Wenden (1991) has proposed and used this framework and Zhang (2001) has adopted this approach and investigated second language learners' metacognition or metacognitive knowledge. In addition to exploring the relationships between learner metacognition and performance, researchers are also interested in the effects of metacognitively-oriented strategic instruction on reading comprehension (e.g., Garner, 1994, in first language contexts, and Chamot, 2005; Zhang, 2010). The efforts are aimed at developing learner autonomy, interdependence and self-regulation.

Metacognition helps people to perform many cognitive tasks more effectively.[1] Strategies for promoting metacognition include self-questioning (e.g. "What do I already know about this topic? How have I solved problems like this before?"), thinking aloud while performing a task, and making graphic representations (e.g. concept maps, flow charts, semantic webs) of one's thoughts and knowledge. Carr, 2002, argues that the physical act of writing plays a large part in the development of metacognitive skills.[63]

Strategy Evaluation matrices (SEM) can help to improve the knowledge of cognition component of metacognition. The SEM works by identifying the declarative (Column 1), procedural (Column 2) and conditional (Column 3 and 4) knowledge about specific strategies. The SEM can help individuals identify the strength and weaknesses about certain strategies as well as introduce them to new strategies that they can add to their repertoire.[64]

A regulation checklist (RC) is a useful strategy for improving the regulation of cognition aspect of one's metacognition. RCs help individuals to implement a sequence of thoughts that allow them to go over their own metacognition.[64] King (1991) found that fifth-grade students who used a regulation checklist outperformed control students when looking at a variety of questions including written problem solving, asking strategic questions, and elaborating information.[65]

Examples of strategies that can be taught to students are word analysis skills, active reading strategies, listening skills, organizational skills and creating mnemonic devices.[66]

Walker and Walker have developed a model of metacognition in school learning termed Steering Cognition, which describes the capacity of the mind to exert conscious control over its reasoning and processing strategies in relation to the external learning task. Studies have shown that pupils with an ability to exert metacognitive regulation over their attentional and reasoning strategies used when engaged in maths, and then shift those strategies when engaged in science or then English literature learning, associate with higher academic outcomes at secondary school.

Metastrategic knowledge

"Metastrategic knowledge" (MSK) is a sub-component of metacognition that is defined as general knowledge about higher order thinking strategies. MSK had been defined as "general knowledge about the cognitive procedures that are being manipulated". The knowledge involved in MSK consists of "making generalizations and drawing rules regarding a thinking strategy" and of "naming" the thinking strategy.[67]

The important conscious act of a metastrategic strategy is the "conscious" awareness that one is performing a form of higher order thinking. MSK is an awareness of the type of thinking strategies being used in specific instances and it consists of the following abilities: making generalizations and drawing rules regarding a thinking strategy, naming the thinking strategy, explaining when, why and how such a thinking strategy should be used, when it should not be used, what are the disadvantages of not using appropriate strategies, and what task characteristics call for the use of the strategy.[68]

MSK deals with the broader picture of the conceptual problem. It creates rules to describe and understand the physical world around the people who utilize these processes called higher-order thinking. This is the capability of the individual to take apart complex problems in order to understand the components in problem. These are the building blocks to understanding the "big picture" (of the main problem) through reflection and problem solving.[69]

Action

Both social and cognitive dimensions of sporting expertise can be adequately explained from a metacognitive perspective according to recent research. The potential of metacognitive inferences and domain-general skills including psychological skills training are integral to the genesis of expert performance. Moreover, the contribution of both mental imagery (e.g., mental practice) and attentional strategies (e.g., routines) to our understanding of expertise and metacognition is noteworthy.[70] The potential of metacognition to illuminate our understanding of action was first highlighted by Aidan Moran who discussed the role of meta-attention in 1996.[71] A recent research initiative, a research seminar series called META funded by the BPS, is exploring the role of the related constructs of meta-motivation, meta-emotion, and thinking and action (metacognition).

Mental illness

Sparks of interest

In the context of mental health, metacognition can be loosely defined as the process that "reinforces one's subjective sense of being a self and allows for becoming aware that some of one's thoughts and feelings are symptoms of an illness".[72] The interest in metacognition emerged from a concern for an individual's ability to understand their own mental status compared to others as well as the ability to cope with the source of their distress.[73] These insights into an individual's mental health status can have a profound effect on overall prognosis and recovery. Metacognition brings many unique insights into the normal daily functioning of a human being. It also demonstrates that a lack of these insights compromises 'normal' functioning. This leads to less healthy functioning. In the autism spectrum, it is speculated that there is a profound deficit in theory of mind.[74] In people who identify as alcoholics, there is a belief that the need to control cognition is an independent predictor of alcohol use over anxiety. Alcohol may be used as a coping strategy for controlling unwanted thoughts and emotions formed by negative perceptions.[75] This is sometimes referred to as self medication.

Implications

Adrian Wells' and Gerald Matthews' theory proposes that when faced with an undesired choice, an individual can operate in two distinct modes: "object" and "metacognitive".[76] Object mode interprets perceived stimuli as truth, where metacognitive mode understands thoughts as cues that have to be weighted and evaluated. They are not as easily trusted. There are targeted interventions unique of each patient, that gives rise to the belief that assistance in increasing metacognition in people diagnosed with schizophrenia is possible through tailored psychotherapy. With a customized therapy in place, clients then have the potential to develop greater ability to engage in complex self-reflection.[77] This can ultimately be pivotal in the patient's recovery process. In the obsessive–compulsive spectrum, cognitive formulations have greater attention to intrusive thoughts related to the disorder. "Cognitive self-consciousness" are the tendencies to focus attention on thought. Patients with OCD exemplify varying degrees of these "intrusive thoughts". Patients also with generalized anxiety disorder also show negative thought process in their cognition.[78]

Cognitive-attentional syndrome (CAS) characterizes a metacognitive model of emotion disorder (CAS is consistent with the attention strategy of excessively focusing on the source of a threat).[79][80] This ultimately develops through the client's own beliefs. Metacognitive therapy attempts to correct this change in the CAS. One of the techniques in this model is called attention training (ATT).[81][82] It was designed to diminish the worry and anxiety by a sense of control and cognitive awareness. ATT also trains clients to detect threats and test how controllable reality appears to be.[83]

Following the work of Asher Koriat,[84] who regards confidence as central aspect of metacognition, metacognitive training for psychosis aims at decreasing overconfidence in patients with schizophrenia and raising awareness of cognitive biases. According to a meta-analysis,[85] this type of intervention improves delusions and hallucinations.

Works of art as metacognitive artifacts

The concept of metacognition has also been applied to reader-response criticism. Narrative works of art, including novels, movies and musical compositions, can be characterized as metacognitive artifacts which are designed by the artist to anticipate and regulate the beliefs and cognitive processes of the recipient,[86] for instance, how and in which order events and their causes and identities are revealed to the reader of a detective story. As Menakhem Perry has pointed out, mere order has profound effects on the aesthetical meaning of a text.[87] Narrative works of art contain a representation of their own ideal reception process. They are something of a tool with which the creators of the work wish to attain certain aesthetical and even moral effects.[88]

Mind wandering

There is an intimate, dynamic interplay between mind wandering and metacognition. Metacognition serves to correct the wandering mind, suppressing spontaneous thoughts and bringing attention back to more "worthwhile" tasks.[32][89]

Organizational metacognition

The concept of metacognition has also been applied to collective teams and organizations in general, termed organizational metacognition.

References

  1. ^ a b c Metcalfe, J., & Shimamura, A. P. (1994). Metacognition: knowing about knowing. Cambridge, MA: MIT Press.
  2. ^ a b Flavell, J.H. (1979). "Metacognition and cognitive monitoring. A new area of cognitive-development inquiry". American Psychologist. 34 (10): 906–911. doi:10.1037/0003-066X.34.10.906.
  3. ^ a b c d Schraw, Gregory (1998). "Promoting general metacognitive awareness". Instructional Science. 26: 113–125. doi:10.1023/A:1003044231033. S2CID 15715418.
  4. ^ a b Hartelt, T. & Martens, H. (2024). Influence of self-assessment and conditional metaconceptual knowledge on students' self-regulation of intuitive and scientific conceptions of evolution. Journal of Research in Science Teaching, 61(5), 1134–1180. https://doi.org/10.1002/tea.21938
  5. ^ Borkowski, J. G. (1992). "Metacognitive Theory: A Framework for Teaching Literacy, Writing, and Math Skills". Journal of Learning Disabilities. 25 (4). Hammill Institute on Disabilities: 253–257. doi:10.1177/002221949202500406. PMID 1573335. S2CID 10031331.
  6. ^ Gunstone, R. F. & Mitchell, I. I. (2005). Metacognition and conceptual change. In J. J. Mintzes, J. H. Wandersee & J. D. Novak (Eds.), Teaching science for understanding: A human constructivist view (pp. 133¬–163). Academic Press.
  7. ^ a b Dunlosky, J. & Bjork, R. A. (Eds.). Handbook of Metamemory and Memory. Psychology Press: New York, 2008.
  8. ^ Colman, Andrew M. (2001). "metacognition". A Dictionary of Psychology. Oxford Paperback Reference (4 ed.). Oxford: Oxford University Press (published 2015). p. 456. ISBN 9780199657681. Retrieved 17 May 2017. Writings on metacognition can be traced back at least as far as De Anima and the Parva Naturalia of the Greek philosopher Aristotle (384-322 BC) [...].
  9. ^ "What is Metacognition?". The Psychology Notes Headquarters. 19 April 2013. Retrieved 18 October 2020.
  10. ^ Demetriou, A., Efklides, A., & Platsidou, M. (1993). The architecture and dynamics of developing mind: Experiential structuralism as a frame for unifying cognitive developmental theories. Monographs of the Society for Research in Child Development, 58, Serial Number 234.
  11. ^ Demetriou, A.; Kazi, S. (2006). "Self-awareness in g (with processing efficiency and reasoning)". Intelligence. 34 (3): 297–317. doi:10.1016/j.intell.2005.10.002.
  12. ^ Shannon, Nick; Frischherz, Bruno (2020). Metathinking - The Art and Practice of Transformational Thinking. Springer Cham. p. 12. doi:10.1007/978-3-030-41064-3. ISBN 978-3-030-41064-3. S2CID 242428640.
  13. ^ Tanner, Kimberly D. (2012). "Promoting Student Metacognition". CBE—Life Sciences Education. 11 (2): 113–120. doi:10.1187/cbe.12-03-0033. ISSN 1931-7913.
  14. ^ Gall, MD; Gall, JP; Jacobsen, DR; Bullock, TL (1990). Tools for Learning: A Guide to Teaching Study Skills. Alexandria, VA: Association for Supervision and Curriculum Development.
  15. ^ PERKINS, DN; SALOMON, GAVRIEL (1989). "Are Cognitive Skills Context-Bound?". Educational Researcher. 18 (1): 16–25. doi:10.3102/0013189x018001016. ISSN 0013-189X.
  16. ^ Cox, Michael T. (2005). "Metacognition in computation: A selected research review". Artificial Intelligence. 169 (2): 104–141. doi:10.1016/j.artint.2005.10.009.
  17. ^ Jacobs, J.E.; Paris, S.G. (1987). "Children's metacognition about reading: Issues in definition, measurement, and instruction". Educational Psychologist. 22 (3–4): 225–278. doi:10.1080/00461520.1987.9653052.
  18. ^ Schneider, W; Artelt, C. (2010). "Metacognition and mathematics education". ZDM Mathematics Education. 42 (2): 149–161. doi:10.1007/s11858-010-0240-2. S2CID 143860648.
  19. ^ Pressley, M; Borkowski, J.G.; Schneider, W. (1987). "Cognitive strategies: Good strategy users coordinate metacognition and knowledge". Annals of Child Development. 5.
  20. ^ Garner, R (1990). "When children and adults do not use learning strategies: Toward a theory of settings". Review of Educational Research. 60 (4): 517–529. doi:10.3102/00346543060004517. S2CID 145625791.
  21. ^ Reynolds, R.E. (1992). "Selective attention and prose learning: Theoretical and empirical research". Educational Psychology Review. 4 (4): 345–391. doi:10.1007/BF01332144. S2CID 144502687.
  22. ^ Lai, Emily (April 2011). "Metacognition: A Literature Review" (PDF). Metacognition: A Literature Review PDF. Retrieved 23 April 2016.
  23. ^ Molenberghs, Pascal; Trautwein, Fynn-Mathis; Böckler, Anne; Singer, Tania; Kanske, Philipp (1 December 2016). "Neural correlates of metacognitive ability and of feeling confident: a large-scale fMRI study". Social Cognitive and Affective Neuroscience. 11 (12): 1942–1951. doi:10.1093/scan/nsw093. ISSN 1749-5024. PMC 5141950. PMID 27445213.
  24. ^ Jacobs, J.E.; Paris, S.G. (1987). "Children's metacognition about reading: Issues in definition, measurement, and instruction". Educational Psychologist. 22 (3–4): 255–278. doi:10.1080/00461520.1987.9653052.
  25. ^ Meidinger, Paul; K. Vijaykumar, Kausalya (18 October 2006). "Interrupted cognition in an undergraduate programming course". Proceedings of the American Society for Information Science and Technology. 42 (1). doi:10.1002/meet.14504201168. ISSN 0044-7870.
  26. ^ Swanson, H.L. (1990). "Influence of metacognitive knowledge and aptitude on problem solving". Journal of Educational Psychology. 82 (2): 306–314. doi:10.1037/0022-0663.82.2.306.
  27. ^ Wells, Adrian (12 December 2019). "Breaking the Cybernetic Code: Understanding and Treating the Human Metacognitive Control System to Enhance Mental Health". Frontiers in Psychology. 10: 2621. doi:10.3389/fpsyg.2019.02621. ISSN 1664-1078. PMC 6920120. PMID 31920769.
  28. ^ Casselman, Brock L.; Atwood, Charles H. (12 December 2017). "Improving General Chemistry Course Performance through Online Homework-Based Metacognitive Training". Journal of Chemical Education. 94 (12): 1811–1821. Bibcode:2017JChEd..94.1811C. doi:10.1021/acs.jchemed.7b00298. ISSN 0021-9584.
  29. ^ Rosen, L. D., Lim, A. F., Carrier, L. M., & Cheever, N. A. (2011). An empirical examination of the educational impact of message-induced task switching in the classroom: Educational implications and strategies to enhance learning. Psicología Educativa, 17(2), 163–177.
  30. ^ Gourgey, A.F. (1998). "Metacognition in basic skills instruction". Instructional Science. 26: 81–96. doi:10.1023/A:1003092414893. S2CID 141774919.
  31. ^ Feurer, Emanuel; Sassu, Raluca; Cimeli, Patricia; M. Roebers, Claudia (25 March 2015). "Development of Meta-Representations: Procedural Metacognition and the Relationship to Theory of Mind". Journal of Educational and Developmental Psychology. 5 (1): 8. doi:10.5539/jedp.v5n1p6. ISSN 1927-0534.
  32. ^ a b Kieran, C. R. Fox; Kalina Christoff (2014). "Metacognitive Facilitation of Spontaneous Thought Processes: When Metacognition Helps the Wandering Mind Find Its Way". The Cognitive Neuroscience of Metacognition. pp. 293–319. doi:10.1007/978-3-642-45190-4_13. ISBN 978-3-642-45189-8. S2CID 13484588.
  33. ^ Hussain, Dilwar (16 October 2015). "Meta-Cognition in Mindfulness: A Conceptual Analysis". Psychological Thought. 8 (2): 132–141. doi:10.5964/psyct.v8i2.139. ISSN 2193-7281.
  34. ^ a b c d Jost, J. T.; Kruglanski, A. W.; Nelson, T. O. (1998). "Social metacognition: an expansionist review". Personality and Social Psychology Review. 2 (2): 137–154. doi:10.1207/s15327957pspr0202_6. ISSN 1088-8683. PMID 15647141. S2CID 25938204.
  35. ^ Tullis, Jonathan G.; Fraundorf, Scott H. (August 2017). "Predicting others' memory performance: The accuracy and bases of social metacognition". Journal of Memory and Language. 95: 124–137. doi:10.1016/j.jml.2017.03.003. ISSN 0749-596X.
  36. ^ Dweck, Carol S.; Chiu, Chi-yue; Hong, Ying-yi (October 1995). "Implicit Theories and Their Role in Judgments and Reactions: A Word From Two Perspectives". Psychological Inquiry. 6 (4): 267–285. doi:10.1207/s15327965pli0604_1. hdl:10722/44536. ISSN 1047-840X.
  37. ^ a b Levy, B.; Langer, E. (June 1994). "Aging free from negative stereotypes: successful memory in China and among the American deaf". Journal of Personality and Social Psychology. 66 (6): 989–997. doi:10.1037/0022-3514.66.6.989. ISSN 0022-3514. PMID 8046582.
  38. ^ Steele, Jennifer R.; Ambady, Nalini (July 2006). ""Math is Hard!" The effect of gender priming on women's attitudes". Journal of Experimental Social Psychology. 42 (4): 428–436. doi:10.1016/j.jesp.2005.06.003. ISSN 0022-1031.
  39. ^ a b c Briñol, Pablo (27 April 2012). Briñol, Pablo; Demarree, Kenneth (eds.). Social Metacognition. Psychology Press. pp. 21–42. doi:10.4324/9780203865989. ISBN 9780203865989.
  40. ^ a b Briñol, Pablo (27 April 2012). Briñol, Pablo; Demarree, Kenneth (eds.). Social Metacognition. Psychology Press. pp. 43–62. doi:10.4324/9780203865989. ISBN 9780203865989.
  41. ^ Briñol, Pablo (27 April 2012). Briñol, Pablo; Demarree, Kenneth (eds.). Social Metacognition. Psychology Press. pp. 243–262. doi:10.4324/9780203865989. ISBN 9780203865989.
  42. ^ Yzerbyt, Vincent Y.; Schadron, Georges; Leyens, Jacques-Philippe; Rocher, Stephan (1994). "Social judgeability: The impact of meta-informational cues on the use of stereotypes". Journal of Personality and Social Psychology. 66 (1): 48–55. doi:10.1037/0022-3514.66.1.48. ISSN 0022-3514.
  43. ^ Plaks, Jason E.; Stroessner, Steven J.; Dweck, Carol S.; Sherman, Jeffrey W. (2001). "Person theories and attention allocation: Preferences for stereotypic versus counterstereotypic information". Journal of Personality and Social Psychology (Submitted manuscript). 80 (6): 876–893. doi:10.1037/0022-3514.80.6.876. ISSN 1939-1315. PMID 11414372.
  44. ^ Yzerbyt, Vincent; Corneille, Olivier; Estrada, Claudia (May 2001). "The Interplay of Subjective Essentialism and Entitativity in the Formation of Stereotypes". Personality and Social Psychology Review. 5 (2): 141–155. CiteSeerX 10.1.1.379.4076. doi:10.1207/s15327957pspr0502_5. ISSN 1088-8683. S2CID 17740957.
  45. ^ Beran, Michael J.; Smith, J. David; Perdue, Bonnie M. (18 March 2013). "Language-Trained Chimpanzees (Pan troglodytes) Name What They Have Seen but Look First at What They Have Not Seen". Psychological Science. 24 (5): 660–666. doi:10.1177/0956797612458936. PMC 3902479. PMID 23508741.
  46. ^ Morgan, Gin; Kornell, Nate; Kornblum, Tamar; Terrace, Herbert S. (March 2014). "Retrospective and prospective metacognitive judgments in rhesus macaques (Macaca mulatta)". Animal Cognition. 17 (2): 249–257. doi:10.1007/s10071-013-0657-4. ISSN 1435-9448. PMC 3883882. PMID 23812677.
  47. ^ Foote, Allison L.; Crystal, Jonathon D. (March 2007). "Metacognition in the Rat". Current Biology. 17 (6): 551–555. Bibcode:2007CBio...17..551F. doi:10.1016/j.cub.2007.01.061. ISSN 0960-9822. PMC 1861845. PMID 17346969.
  48. ^ Templer, Victoria L.; Lee, Keith A.; Preston, Aidan J. (1 July 2017). "Rats know when they remember: transfer of metacognitive responding across odor-based delayed match-to-sample tests". Animal Cognition. 20 (5): 891–906. doi:10.1007/s10071-017-1109-3. ISSN 1435-9448. PMC 5709207. PMID 28669115.
  49. ^ Inman, Alastair; Shettleworth, Sara J. (1999). "Detecting metamemory in nonverbal subjects: A test with pigeons". Journal of Experimental Psychology: Animal Behavior Processes. 25 (3): 389–395. doi:10.1037/0097-7403.25.3.389. ISSN 1939-2184.
  50. ^ Allison Adams, Angelo Santi (2011). "Pigeons exhibit higher accuracy for chosen memory tests than for forced memory tests in duration matching-to-sample". Learning & Behavior. 39 (1): 1–11. doi:10.1007/s13420-010-0001-7. PMID 21264568. S2CID 40008821.
  51. ^ Iwasaki, Sumie; Kuroshima, Hika; Fujita, Kazuo (1 November 2019). "Pigeons show metamemory by requesting reduced working memory loads". Animal Behavior and Cognition. 6 (4): 247–253. doi:10.26451/abc.06.04.04.2019. ISSN 2372-5052.
  52. ^ Castro, Leyre; Wasserman, Edward A. (March 2013). "Information-seeking behavior: exploring metacognitive control in pigeons". Animal Cognition. 16 (2): 241–254. doi:10.1007/s10071-012-0569-8. ISSN 1435-9448. PMID 23065186. S2CID 9730580.
  53. ^ Belger, Julia; Bräuer, Juliane (12 November 2018). "Metacognition in dogs: Do dogs know they could be wrong?". Learning & Behavior. 46 (4): 398–413. doi:10.3758/s13420-018-0367-5. ISSN 1543-4494. PMC 6276073. PMID 30421122.
  54. ^ Call, Josep (2010). "Do apes know that they could be wrong?". Animal Cognition. 13 (5): 689–700. doi:10.1007/s10071-010-0317-x. PMID 20306102. S2CID 14856244.
  55. ^ Smith, J. David; Schull, Jonathan; Strote, Jared; McGee, Kelli; Egnor, Roian; Erb, Linda (1995). "The uncertain response in the bottlenosed dolphin (Tursiops truncatus)". Journal of Experimental Psychology: General. 124 (4): 391–408. doi:10.1037/0096-3445.124.4.391. ISSN 1939-2222. PMID 8530911.
  56. ^ Smith, J. David; Couchman, Justin J.; Beran, Michael J. (2014). "Animal metacognition: A tale of two comparative psychologies". Journal of Comparative Psychology. 128 (2): 115–131. doi:10.1037/a0033105. ISSN 1939-2087. PMC 3929533. PMID 23957740.
  57. ^ Beran, Michael (1 November 2019). "Animal metacognition: A decade of progress, problems, and the development of new prospects". Animal Behavior and Cognition. 6 (4): 223–229. doi:10.26451/abc.06.04.01.2019. ISSN 2372-5052.
  58. ^ Smith, J. David; Zakrzewski, Alexandria C.; Church, Barbara A. (15 December 2015). "Formal models in animal-metacognition research: the problem of interpreting animals' behavior". Psychonomic Bulletin & Review. 23 (5): 1341–1353. doi:10.3758/s13423-015-0985-2. ISSN 1069-9384. PMC 4909597. PMID 26669600.
  59. ^ Beran, Michael J.; Smith, J. David; Coutinho, Mariana V. C.; Couchman, Justin J.; Boomer, Joseph (2009). "The psychological organization of "uncertainty" responses and "middle" responses: A dissociation in capuchin monkeys (Cebus apella)". Journal of Experimental Psychology: Animal Behavior Processes. 35 (3): 371–381. doi:10.1037/a0014626. ISSN 1939-2184. PMC 3901429. PMID 19594282.
  60. ^ Smith, J. David; Redford, Joshua S.; Beran, Michael J.; Washburn, David A. (13 June 2009). "Rhesus monkeys (Macaca mulatta) adaptively monitor uncertainty while multi-tasking". Animal Cognition. 13 (1): 93–101. doi:10.1007/s10071-009-0249-5. ISSN 1435-9448. PMC 3951156. PMID 19526256.
  61. ^ Cohen, Marisa (1 December 2012). "The Importance of Self-Regulation for College Student Learning". College Student Journal. 46 (4): 892–902. Retrieved 31 January 2020.
  62. ^ a b Miller, Tyler M.; Geraci, Lisa (1 December 2011). "Training metacognition in the classroom: the influence of incentives and feedback on exam predictions". Metacognition and Learning. 6 (3): 303–314. doi:10.1007/s11409-011-9083-7. ISSN 1556-1631. S2CID 16244272.
  63. ^ Gammil, D. (2006). "Learning the Write Way". The Reading Teacher. 59 (8): 754–762. doi:10.1598/RT.59.8.3.
  64. ^ a b Schraw, Gregory (1998). "Promoting general metacogntive awareness". Instructional Science. 26: 113–125. doi:10.1023/A:1003044231033. S2CID 15715418.
  65. ^ King, A (1991). "Effects of training in strategic questioning on children's problem solving performance". Journal of Educational Psychology. 83 (3): 307–317. doi:10.1037/0022-0663.83.3.307.
  66. ^ Thompson, L; Thompson, M. (1998). "Neurofeedback combined with training in metacognitive strategies: Effectiveness in students with ADD". Applied Psychophysiology and Biofeedback. 23 (4): 243–63. doi:10.1023/A:1022213731956. PMID 10457815. S2CID 8437512.
  67. ^ Zohar, A.; Ben David, A. (2009). "Paving a clear path in a thick forest: A conceptual analysis of a metacognitive component". Metacognition and Learning. 4 (3): 177–195. doi:10.1007/s11409-009-9044-6. hdl:20.500.12209/10722. S2CID 144214436.
  68. ^ Veenman, M. V. J. (2006). Metacognition: Definitions, constituents, and their intricate relation with cognition. Symposium organized by Marcel V. J. Veenman, Anat Zohar, and Anastasia Efklides for the 2nd conference of the EARLI SIG on Metacognition (SIG 16), Cambridge, UK, 19–21 July.
  69. ^ Beer, N., & Moneta, G. B. (2012). Coping and perceived stress as a function of positive metacognitions and positive meta-emotions. Individual Differences Research, 10(2), 105–116.
  70. ^ MacIntyre, TE; Igou, ER; Campbell, MJ; Moran, AP; Matthews, J (2014). "Metacognition and action: a new pathway to understanding social and cognitive aspects of expertise in sport". Front. Psychol. 5: 1155. doi:10.3389/fpsyg.2014.01155. PMC 4199257. PMID 25360126.
  71. ^ Moran A. P. (1996). The Psychology of Concentration in Sport Performers: A Cognitive Analysis. Hove, East Sussex: Psychology Press
  72. ^ Lysaker, P. H.; Dimaggio, G.; Buck, K. D.; Callaway, S. S.; Salvatore, G.; Carcione, A. & Stanghellini, G. (2011). "Poor insight in schizophrenia: Links between different forms of metacognition with awareness of symptoms, treatment needed, and consequences of illness". Comprehensive Psychiatry. 52 (3): 253–60. doi:10.1016/j.comppsych.2010.07.007. PMID 21497218.
  73. ^ Semerari, A.; Carcione, A.; Dimaggio, G.; Falcone, M.; Nicol, G.; Procacci, M.; Alleva, G. (2003). "How to evaluate Metacognitive function in psychotherapy? The Metacognition Assessment Scale and its applications". Clinical Psychology & Psychotherapy. 10 (4): 238–261. doi:10.1002/cpp.362.
  74. ^ Lysaker, P. H. & Dimaggio, G. (2011). "Metacognitive disturbances in people with severe mental illness: Theory, correlates with psychopathology and models of psychotherapy". Psychology and Psychotherapy: Theory, Research and Practice. 84 (1): 1–8. doi:10.1111/j.2044-8341.2010.02007.x. PMID 22903827.
  75. ^ Spada, M. M.; Zandvoort, M.; Wells, A. (2007). "Metacognitions in problem drinkers". Cognitive Therapy and Research. 31 (5): 709–716. doi:10.1007/s10608-006-9066-1. S2CID 8935940.
  76. ^ Wells, A. & Mathews, G. (1997). Attention and Emotion. A clinical perspective. Hove, UK: Erlbaum.
  77. ^ Lysaker, P. H.; Buck, K. D.; Carcione, A.; Procacci, M.; Salvatore, G.; Nicolò, G.; Dimaggio, G. (2011). "Addressing metacognitive capacity for self-reflection in the psychotherapy for schizophrenia: A conceptual model of the key tasks and processes". Psychology and Psychotherapy: Theory, Research and Practice. 84 (1): 58–69. doi:10.1348/147608310X520436. PMID 22903831.
  78. ^ Jacobi, D. M.; Calamari, J. E.; Woodard, J. L. (2006). "Obsessive-Compulsive Disorder Beliefs, Metacognitive Beliefs and Obsessional Symptoms: Relations between Parent Beliefs and Child Symptoms". Clinical Psychology & Psychotherapy. 13 (3): 153–162. doi:10.1002/cpp.485.
  79. ^ Kowalski, Joachim; Dragan, Małgorzata (1 May 2019). "Cognitive-attentional syndrome – The psychometric properties of the CAS-1 and multi-measure CAS-based clinical diagnosis". Comprehensive Psychiatry. 91: 13–21. doi:10.1016/j.comppsych.2019.02.007. ISSN 0010-440X. PMID 30884400.
  80. ^ Dragan, Małgorzata; Kowalski, Joachim (1 November 2020). "Childhood adversities and psychopathology in participants with high and low severity of cognitive-attentional syndrome symptoms". European Journal of Trauma & Dissociation. 4 (4): 100112. doi:10.1016/j.ejtd.2019.05.005. ISSN 2468-7499. S2CID 189978940.
  81. ^ Wells, A (1990). "Panic disorder in association with relaxation-induced anxiety: An attentional training approach to treatment". Behaviour Therapy. 21 (3): 273–280. doi:10.1016/s0005-7894(05)80330-2.
  82. ^ Kowalski, Joachim; Wierzba, Małgorzata; Wypych, Marek; Marchewka, Artur; Dragan, Małgorzata (1 September 2020). "Effects of attention training technique on brain function in high- and low-cognitive-attentional syndrome individuals: Regional dynamics before, during, and after a single session of ATT". Behaviour Research and Therapy. 132: 103693. doi:10.1016/j.brat.2020.103693. ISSN 0005-7967. PMID 32688045. S2CID 220669531.
  83. ^ Wells, A.; Fisher, P.; Myers, S.; Wheatley, J.; Patel, T.; Brewin, C. R. (2009). "Metacognitive therapy in recurrent and persistent depression: A multiple-baseline study of a new treatment". Cognitive Therapy and Research. 33 (3): 291–300. doi:10.1007/s10608-007-9178-2. S2CID 2504312.
  84. ^ Koriat, Asher (2019). "Confidence judgments: The monitoring of object-level and same-level performance". Metacognition and Learning. 14 (3): 463–478. doi:10.1007/s11409-019-09195-7. S2CID 201392935.
  85. ^ Penney, Danielle; Sauvé, Geneviève; Mendelson, Daniel; Thibaudeau, Élisabeth; Moritz, Steffen; Lepage, Martin (23 March 2022). "Immediate and Sustained Outcomes and Moderators Associated With Metacognitive Training for Psychosis: A Systematic Review and Meta-analysis". JAMA Psychiatry. 79 (5): 417–429. doi:10.1001/jamapsychiatry.2022.0277. ISSN 2168-622X. PMC 8943641. PMID 35320347.
  86. ^ Lång, Markus (1998). "Teksti metakognitiivisena artefaktina: Sanataiteen ja säveltaiteen ontologiaa" [Text as a Metacognitive Artifact: Literary and Musical Ontology]. Synteesi (in Finnish). 17 (4): 82–94. ISSN 0359-5242.
    Lång, Markus (2002). "Elokuva metakognitiivisena artefaktina: Reseptioesteettinen katsaus" [Film as a metacognitive artifact: Reader-response critical review]. Synteesi (in Finnish). 21 (1): 59–65. ISSN 0359-5242.
  87. ^ Perry, Menakhem (1979). "Literary Dynamics: How the Order of a Text Creates Its Meanings". Poetics Today. 1 (1–2): 35–64, 311–361. doi:10.2307/1772040. JSTOR 1772040.
  88. ^ Lång 1998, p. 88.
  89. ^ "Mind-wandering and metacognition: variation between internal and external thought predicts improved error awareness". Archived from the original on 2 June 2014. Retrieved 9 May 2014.

Further reading

  • Annual Editions: Educational Psychology. Guilford: Dushkin Pub., 2002. Print.
  • Barell, J. (1992), "Like an incredibly hard algebra problem: Teaching for metacognition" In A. L. Costa, J. A. Bellanca, & R. Fogarty (eds.) If minds matter: A foreword to the future, Volume I (pp. 257–266). Palatine, IL: IRI/Skylight Publishing, Inc.
  • Beck, G. M. (1998) The Impact of a Prescriptive Curriculum on the Development of Higher Order Thinking Skills in Children, Unpublished MA dissertation, University of Leicester.
  • Brown, A. (1987). Metacognition, executive control, self-control, and other mysterious mechanisms. In F. Weinert and R. Kluwe (Eds.), Metacognition, Motivation, and Understanding (pp. 65–116). Hillsdale, NJ: Erlbaum.
  • Burke, K. (1999), "The Mindful School: How to Assess Authentic Learning" (3rd ed.), SkyLight Training and Publishing, USA. ISBN 1-57517-151-1
  • Carr, S.C. (2002). "Assessing learning processes: Useful information for teachers and students". Intervention in School and Clinic. 37 (3): 156–162. doi:10.1177/105345120203700304. S2CID 143017380.
  • Chamot, A. (2005). The Cognitive Academic Language Learning Approach (CALLA): An update. In P. Richard-Amato and M. Snow (eds), Academic Success for English Language Learners (pp. 87–101). White Plains, NY: Longman.
  • Dunlosky, John & Metcalfe, Janet (2009). Metacognition. Los Angeles: SAGE. ISBN 978-1-4129-3972-0
  • Fisher, Peter & Wells, Adrian (2009). Metacognitive Therapy: Distinctive Features. London: Routledge. ISBN 978-0-415-43499-7
  • Flavell, J. H. (1976). Metacognitive aspects of problem solving. In L. B. Resnick (Ed.), The nature of intelligence (pp. 231–236). Hillsdale, NJ: Erlbaum
  • Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, v34 n10 p906-11 Oct 1979.
  • Hartman, H. J. (2001). Metacognition in Learning and Instruction: Theory, Research and Practice. Dordrecht: Kluwer Academic Publishers
  • Niemi, H. (2002). Active learning—a cultural change needed in teacher education and schools. Teaching and Teacher Education, 18, 763–780.
  • Rasekh, Z., & Ranjbary, R. (2003). Metacognitive strategy training for vocabulary learning, TESL-EJ, 7(2), 1–18.
  • Shimamura, A. P. (2000). "Toward a cognitive neuroscience of metacognition". Consciousness and Cognition. 9 (2 Pt 1): 313–323. doi:10.1006/ccog.2000.0450. PMID 10924251. S2CID 15588976.
  • H. S. Terrace & J. Metcalfe (Eds.), The Missing Link in Cognition: Origins of Self-Reflective Consciousness. New York: Oxford University Press.
  • MacIntyre, TE; Igou, ER; Campbell, MJ; Moran, AP; Matthews, J (2014). "Metacognition and action: a new pathway to understanding social and cognitive aspects of expertise in sport". Front Psychol. 5: 1155. doi:10.3389/fpsyg.2014.01155. PMC 4199257. PMID 25360126.
  • Metcalfe, J., & Shimamura, A. P. (1994). Metacognition: knowing about knowing. Cambridge, MA: MIT Press.
  • Papaleontiou-Louca, Eleonora (2008). Metacognition and Theory of Mind. Newcastle: Cambridge Scholars Publishing. ISBN 978-1-84718-578-5
  • Smith, J. D., Beran, M. J., Couchman, J. J., Coutinho, M. V. C., & Boomer, J. B. (2009). Animal metacognition: Problems and prospects, WWW, Comparative Cognition and Behavior Reviews, 4, 40–53.
  • Wenden, A. L. (1987). "Metacognition: An expanded view on the cognitive abilities of L2 learners". Language Learning. 37 (4): 573–594. doi:10.1111/j.1467-1770.1987.tb00585.x.
  • Wenden, A. (1991). Learner Strategies for Learner Autonomy. London: Prentice Hall.
  • Wells, A. (2009). Metacognitive therapy for Anxiety and Depression. New York: Guilford Press.
  • Wells, A. (2000). Emotional Disorders and Metacognition: Innovative Cognitive Therapy. Chichester, UK: Wiley.
  • Wells, A. & Mathews, G. (1994). Attention and Emotion: A Clinical Perspective. Hove, UK: Erlbaum.
  • Zhang, L. J. (2001). Awareness in reading: EFL students' metacognitive knowledge of reading strategies in an input-poor environment. Language Awareness, WWW, 11 (4), 268–288.
  • Zhang, L. J. (2010). A dynamic metacognitive systems account of Chinese university students' knowledge about EFL reading. TESOL Quarterly, WWW, 44 (2), 320–353.
Kembali kehalaman sebelumnya