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Exploring Metacognition in Graduate Histology Students
Author(s) -
Craven Da'Quan,
Byram Jessica,
Boze Jared
Publication year - 2021
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2021.35.s1.04863
Subject(s) - metacognition , psychology , mathematics education , class (philosophy) , metamemory , test (biology) , medical education , cognition , computer science , medicine , artificial intelligence , paleontology , neuroscience , biology
Background and Aims Metacognition refers to students’ ability to understand and regulate their own thinking and learning. Metacognitive knowledge includes knowing strategies for learning, when to use those strategies, and knowing oneself as a learner. Metacognitive regulation includes strategies for planning, monitoring, evaluating, and debugging learning strategies. Pedagogical methods, such as team‐based learning (TBL), that promote deep learning and promote reflecting on the process of learning foster development of students’ metacognition. TBL is a flipped‐classroom, immediate feedback model, in which students prepare content knowledge independently before class, and in class complete a series of readiness assessments in teams. Therefore, the purpose of this study is to investigate: 1) the impact of a graduate TBL course on metacognitive awareness, and 2) the relationship between metacognition and course performance. Methods Students enrolled in a TBL graduate histology course at Indiana University took part in this study. Students completed a 19‐item Metacognitive Awareness Inventory (MAI) at the beginning (MAI1) and end of the semester (MAI2). The MAI has two domains, Knowledge (8 items) and Regulation (11 items), where items are rated on a 5‐point scale from “not at all typical of me” to “very typical of me.” Free response questions asked about knowledge and study abilities, plans for studying in histology and how study skills and abilities have improved across the semester. Finally, students completed a voluntary reflection about their examination performance after the first unit exam. Differences between MAIs were investigated using a Wilcoxon signed‐rank test. Spearman's correlations explored the relationship between MAI and final course grades. MAI free responses and exam reflection were analyzed using thematic analysis. Responses were coded using a conceptual framework of metacognition based on processes of knowledge and regulation. Results Thirty‐one (94%) students completed both MAIs. There were no differences between MAI1 and MAI2 scores and there was no relationship between MAI1 or MAI2 and final course grades. The Wilcoxon test demonstrated a significant difference between the Knowledge and Regulation domains for MAI1 (p=0.002) and MAI2 (p=0.001) where students reported the items in the Knowledge domain were more typical of them than items in the Regulation domain. There were no differences across the domains between the two timepoints. Students reported initial hesitation and difficulty with learning histology content in a lecture‐free, flipped classroom approach. Students discussed plans for approaching studying, but many reported modifying study strategies throughout the semester. However, few students discussed active learning strategies that would allow them to evaluate and assess their knowledge prior to assessments. Conclusion While the MAI failed to demonstrate any improvement in metacognition, students reported an increase in their ability to adapt their study strategies to the content and learning materials. Differences in knowledge of cognition and regulation suggests educators in TBL classrooms may need to provide students with additional resources and strategies to regulate their learning. Future studies aim to investigate the validity of the MAI for measuring metacognition in anatomy courses.

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