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Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving
Solving clinical problems requires an individual to apply not only domain-specific medical knowledge and cognitive skills for reasoning, but also to be consciously aware of, monitor, and evaluate their thinking processes (i.e., metacognition). The purpose of this study was to map critical metacognit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198001/ https://www.ncbi.nlm.nih.gov/pubmed/37198958 http://dx.doi.org/10.1080/10872981.2023.2210804 |
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author | Wang, Chia-Yu Chen, Sufen Huang, Ming-Yuan |
author_facet | Wang, Chia-Yu Chen, Sufen Huang, Ming-Yuan |
author_sort | Wang, Chia-Yu |
collection | PubMed |
description | Solving clinical problems requires an individual to apply not only domain-specific medical knowledge and cognitive skills for reasoning, but also to be consciously aware of, monitor, and evaluate their thinking processes (i.e., metacognition). The purpose of this study was to map critical metacognitive dimensions of clinical problem solving and to explore the structural relationships among them, which may help frame a conceptual framework and better pedagogy for effective intervention. A context-specific inventory was adapted and modified from a domain-general instrument to capture essential metacognitive skills for learning and solving clinical problems. This inventory was administered to 72 undergraduate medical students to survey their capabilities in five dimensions: knowledge of cognition, objectives, problem representation, monitoring, and evaluation. The interplay among these dimensions was further examined using partial least squares structural equation modeling. Our findings revealed that the medical students fell short of some expert-like, metacognitive, and regulatory competence, even after receiving years of medical education and on-site training. In particular, they did not know when a holistic understanding of a problem had been reached. Many of them often do not have a set of clear diagnostic procedures in mind, nor do they concurrently monitor their thinking during diagnostic reasoning. Moreover, their lack of self-improving approaches seemed to worsen their learning. Finally, the structural equation model indicated that knowledge of cognition and objectives significantly predicted problem representation, suggesting that medical learners’ knowledge of and goals for learning are influential in framing the clinical problems at hand. A significant linear prediction path was observed from problem representation, monitoring, to evaluation, signifying a possible sequenced process of clinical problem solving. Metacognitive-based instruction can help improve clinical problem-solving skills and awareness of potential biases or errors. |
format | Online Article Text |
id | pubmed-10198001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-101980012023-05-20 Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving Wang, Chia-Yu Chen, Sufen Huang, Ming-Yuan Med Educ Online Research Article Solving clinical problems requires an individual to apply not only domain-specific medical knowledge and cognitive skills for reasoning, but also to be consciously aware of, monitor, and evaluate their thinking processes (i.e., metacognition). The purpose of this study was to map critical metacognitive dimensions of clinical problem solving and to explore the structural relationships among them, which may help frame a conceptual framework and better pedagogy for effective intervention. A context-specific inventory was adapted and modified from a domain-general instrument to capture essential metacognitive skills for learning and solving clinical problems. This inventory was administered to 72 undergraduate medical students to survey their capabilities in five dimensions: knowledge of cognition, objectives, problem representation, monitoring, and evaluation. The interplay among these dimensions was further examined using partial least squares structural equation modeling. Our findings revealed that the medical students fell short of some expert-like, metacognitive, and regulatory competence, even after receiving years of medical education and on-site training. In particular, they did not know when a holistic understanding of a problem had been reached. Many of them often do not have a set of clear diagnostic procedures in mind, nor do they concurrently monitor their thinking during diagnostic reasoning. Moreover, their lack of self-improving approaches seemed to worsen their learning. Finally, the structural equation model indicated that knowledge of cognition and objectives significantly predicted problem representation, suggesting that medical learners’ knowledge of and goals for learning are influential in framing the clinical problems at hand. A significant linear prediction path was observed from problem representation, monitoring, to evaluation, signifying a possible sequenced process of clinical problem solving. Metacognitive-based instruction can help improve clinical problem-solving skills and awareness of potential biases or errors. Taylor & Francis 2023-05-17 /pmc/articles/PMC10198001/ /pubmed/37198958 http://dx.doi.org/10.1080/10872981.2023.2210804 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Article Wang, Chia-Yu Chen, Sufen Huang, Ming-Yuan Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title | Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title_full | Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title_fullStr | Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title_full_unstemmed | Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title_short | Exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
title_sort | exploring medical students’ metacognitive and regulatory dimensions of diagnostic problem solving |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198001/ https://www.ncbi.nlm.nih.gov/pubmed/37198958 http://dx.doi.org/10.1080/10872981.2023.2210804 |
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