The concepts of metacognitive refection, refection, and metacognition are distinct but have undergone shifts in meaning as they migrated into medical education. Conceptual clarity is essential to the construction of the knowledge base of medical education and its educational interventions. We conducted a theoretical integrative review across diverse bodies of literature with the goal of understanding what metacognitive refection is. We searched PubMed, Embase, CINAHL, PsychInfo, and Web of Science databases, including all peer-reviewed research articles and theoretical papers as well as book chapters that addressed the topic, with no limitations for date, language, or location. A total of 733 articles were identified and 87 were chosen after careful review and application of exclusion criteria. The work of conceptually and empirically delineating metacognitive reflection has begun. Contributions have been made to root metacognitive refection in the concept of metacognition and moving beyond it to engage in cycles of refection. Other work has underscored its affective component, transformational nature, and contextual factors. Despite this merging of threads to develop a richer conceptualization, a theory of how metacognitive refection works is elusive. Debates address whether metacognition drives refection or vice versa. It has also been suggested that learners evolve along on a continuum from thinking, to task-related refection, to self-refection, and finally to metacognitive refection. Based on prior theory and research, as well as the findings of this review, we propose the following conceptualization: Metacognitive refection involves heightened internal observation, awareness, monitoring, and regulation of our own knowledge, experiences, and emotions by questioning and examining cognition and emotional processes to continually refine and enhance our perspectives and decisions while thoughtfully accounting for context. We argue that metacognitive refection brings a shift in perspective and can support valuable reconceptualization for lifelong learning.
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In this commentary, the authors respond to Ellaway & Patocka’s “To define or not to define: A commentary on the Case for Metacognitive Reflection,” which raised several thoughtful and discerning questions concerning the implications of defining, or alternatively, refraining from defining constructs. The authors advocate for navigating the liminal space between precision and flexibility, acknowledging the dynamic and permeable nature of conceptual boundaries while striving for clarity. Moreover, they emphasize that only after a boundary is described can the tensions, gaps, exceptions, and contradictions around that boundary be explored. Finally, the authors highlight the significance of contextual definitions, fostering shared understanding, and embracing abductive reasoning (when is becomes as) to promote dialogue and advance knowledge in health professions education.
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Although most authors on Information Literacy do not really differ in their definitions of the information literacy concept, phenomenographic research makes clear that in the context of education at least two different conceptions can be distinguished: an “Information Problem Solving” conception and a “Personal Knowledge Base” conception [1]. The conception of “Information Problem Solving” has been elaborated on in various models by many researchers but the operationalization of the “Personal Knowledge Base conception” has, until now, been ignored in LIS research. Based on educational literature a model for the content of a “Personal Knowledge Base” will be proposed. Two kinds of internalized knowledge are distinguished: the body of knowledge of the discipline and metacognitive knowledge. Both of these elements display sub content. This conception of information literacy as a “Personal Knowledge Base” is consistent with the idea that “learning to learn” is one of the main goals of Higher Education. Copyright / opmerkingen: De hier gepubliceerde versie is het 'accepted paper' van het origineel dat is gepubliceerd op www.springerlink.com . De officiële publicatie kan worden gedownload op http://link.springer.com/chapter/10.1007/978-3-319-14136-7_4
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A key concept within 21st-century skills is knowing how to acquire new knowledge and skills. Metacognition is the knowledge a person has of their own learning combined with the skills to apply that knowledge to enable more efficient and effective learning. Game-based learning can stimulate motivation as well as learning, but while various reviews have pointed out the opportunity for digital games to promote metacognition, little is known about how games can be designed to accomplish this. If we want learners to become better at learning with games, we need to investigate how metacognition can be supported and trained through game-based learning.Previous research has identified generic principles for designing metacognitive training, while only a few principles specific to game-based learning have been suggested. We designed the mobile game MeCo based on these design principles. MeCo was inspired by the mobile game Reigns and replicates its mechanic of exploring a dynamically branching story through choice-making by swiping cards left or right. However, in MeCo the objective is to learn as much as possible about different planets and their inhabitants, by planning, performing, and evaluating space exploration missions. Two metacognitive interventions were added to promote the transfer of metacognition to real-world learning situations: metacognitive question prompts and metacognitive feedback.A preliminary evaluation of the game was conducted using questionnaires and focus groups. Players found the game motivating enough to engage with the story and to be willing to play the game in their free time. Furthermore, they found that their in-game choices mattered, although more linear parts were preferred over more dynamically branching parts of the game. However, the humour in the narrative interfered with the more serious nature of metacognitive questions, resulting in players not taking the questions seriously enough to have an impact on metacognitive awareness. The implications for designing motivating digital games to enhance metacognition are discussed.
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In the dynamic landscape of higher education, fostering self-regulated learning (SRL) is crucial for empowering students to take control of their educational journey. This contribution explores the innovative approach of Me:Learning, a omprehensive toolset designed to enhance metacognitive knowledge and skills through the gamification of learning experiences.
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Metacognition comprises both the ability to be aware of one’s cognitive processes (metacognitive knowledge) and to regulate them (metacognitive control). Research in educational sciences has amassed a large body of evidence on the importance of metacognition in learning and academic achievement. More recently, metacognition has been studied from experimental and cognitive neuroscience perspectives. This research has started to identify brain regions that encode metacognitive processes. However, the educational and neuroscience disciplines have largely developed separately with little exchange and communication. In this article, we review the literature on metacognition in educational and cognitive neuroscience and identify entry points for synthesis. We argue that to improve our understanding of metacognition, future research needs to (i) investigate the degree to which different protocols relate to the similar or different metacognitive constructs and processes, (ii) implement experiments to identify neural substrates necessary for metacognition based on protocols used in educational sciences, (iii) study the effects of training metacognitive knowledge in the brain, and (iv) perform developmental research in the metacognitive brain and compare it with the existing developmental literature from educational sciences regarding the domain-generality of metacognition.
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Most of scientific literature on computer games aimed at offering or aiding in psychotherapy has little information on how the game exactly relates to the relatively recent development of the ‘third wave’ of behavioural psychotherapy, which includes metacognition. This paper first introduces metacognition and subsequently studies five cases of psychotherapeutic games (Personal Investigator, Treasure Hunt, Ricky and the Spider, Moodbot and SuperBetter) by looking at them through the lens of Blooms’ Revised Taxonomy of Knowledge. The paper offers design recommendations for future (metacognitive) psychotherapeutic games.
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Most of scientific literature on computer games aimed at offering or aiding in psychotherapy has little information on how the game exactly relates to the relatively recent development of the ‘third wave’ of behavioural psychotherapy, which includes metacognition. This paper first introduces metacognition and subsequently studies five cases of psychotherapeutic games (Personal Investigator, Treasure Hunt, Ricky and the Spider, Moodbot and SuperBetter) by looking at them through the lens of Blooms’ Revised Taxonomy of Knowledge. The paper offers design recommendations for future (metacognitive) psychotherapeutic games.
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The present study investigated whether text structure inference skill (i.e., the ability to infer overall text structure) has unique predictive value for expository text comprehension on top of the variance accounted for by sentence reading fluency, linguistic knowledge and metacognitive knowledge. Furthermore, it was examined whether the unique predictive value of text structure inference skill differs between monolingual and bilingual Dutch students or students who vary in reading proficiency, reading fluency or linguistic knowledge levels. One hundred fifty-one eighth graders took tests that tapped into their expository text comprehension, sentence reading fluency, linguistic knowledge, metacognitive knowledge, and text structure inference skill. Multilevel regression analyses revealed that text structure inference skill has no unique predictive value for eighth graders’ expository text comprehension controlling for reading fluency, linguistic knowledge and metacognitive knowledge. However, text structure inference skill has unique predictive value for expository text comprehension in models that do not include both knowledge of connectives and metacognitive knowledge as control variables, stressing the importance of these two cognitions for text structure inference skill. Moreover, the predictive value of text structure inference skill does not depend on readers’ language backgrounds or on their reading proficiency, reading fluency or vocabulary knowledge levels. We conclude our paper with the limitations of our study as well as the research and practical implications.
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Computers are promising tools for providing educational experiences that meet individual learning needs. However, delivering this promise in practice is challenging, particularly when automated feedback is essential and the learning extends beyond using traditional methods such as writing and solving mathematics problems. We hypothesize that interactive knowledge representations can be deployed to address this challenge. Knowledge representations differ markedly from concept maps. Where the latter uses nodes (concepts) and arcs (links between concepts), a knowledge representation is based on an ontology that facilitates automated reasoning. By adjusting this reasoning towards interacting with learners for the benefit of learning, a new class of educational instruments emerges. In this contribution, we present three projects that use an interactive knowledge representation as their foundation. DynaLearn supports learners in acquiring system thinking skills. Minds-On helps learners to deepen their understanding of phenomena while performing experiments. Interactive Concept Cartoons engage learners in a science-based discussion about controversial topics. Each of these approaches has been developed iteratively in collaboration with teachers and tested in real classrooms, resulting in a suite of lessons available online. Evaluation studies involving pre-/post-tests and action-log data show that learners are easily capable of working with these educational instruments and that the instruments thus enable a semi-automated approach to constructive learning.
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