Profiling learning strategies of medical students: A person-centered approach.
Journal
Medical education
ISSN: 1365-2923
Titre abrégé: Med Educ
Pays: England
ID NLM: 7605655
Informations de publication
Date de publication:
28 Mar 2024
28 Mar 2024
Historique:
revised:
26
02
2024
received:
09
08
2023
accepted:
04
03
2024
medline:
29
3
2024
pubmed:
29
3
2024
entrez:
28
3
2024
Statut:
aheadofprint
Résumé
Students within a cohort might employ unique subsets of learning strategies (LS) to study. However, little research has aimed to elucidate subgroup-specific LS usage among medical students. Recent methodological developments, particularly person-centred approaches such as latent profile analysis (LPA), offer ways to identify relevant subgroups with dissimilar patterns of LS use. In this paper, we apply LPA to explore subgroups of medical students during preclinical training in anatomy and examine how these patterns are linked with learning outcomes. We analysed the LS used by 689 undergraduate, 1st and 2nd-year medical students across 6 German universities who completed the short version of the Learning Strategies of University Students (LIST-K) questionnaire, and answered questions towards external criteria such as learning resources and performance. We used the thirteen different LS facets of the LIST-K (four cognitive, three metacognitive, three management of internal and three management of external resources) as LPA indicators. Based on LPA, students can be grouped into four distinct learning profiles: Active learners (45% of the cohort), collaborative learners (17%), structured learners (29%) and passive learners (9%). Students in each of those latent profiles combine the 13 LS facets in a unique way to study anatomy. The profiles differ in both, the overall level of LS usage, and unique combinations of LS used for learning. Importantly, we find that the facets of LS show heterogeneous and subgroup-specific correlations with relevant outcome criteria, which partly overlap but mostly diverge from effects observed on the population level. The effects observed by LPA expand results from variable-centered efforts and challenge the notion that LS operate on a linear continuum. These results highlight the heterogeneity between subgroups of learners and help generate a more nuanced interpretation of learning behaviour. Lastly, our analysis offers practical implications for educators seeking to tailor learning experiences to meet individual student needs.
Sections du résumé
BACKGROUND
BACKGROUND
Students within a cohort might employ unique subsets of learning strategies (LS) to study. However, little research has aimed to elucidate subgroup-specific LS usage among medical students. Recent methodological developments, particularly person-centred approaches such as latent profile analysis (LPA), offer ways to identify relevant subgroups with dissimilar patterns of LS use. In this paper, we apply LPA to explore subgroups of medical students during preclinical training in anatomy and examine how these patterns are linked with learning outcomes.
METHODS
METHODS
We analysed the LS used by 689 undergraduate, 1st and 2nd-year medical students across 6 German universities who completed the short version of the Learning Strategies of University Students (LIST-K) questionnaire, and answered questions towards external criteria such as learning resources and performance. We used the thirteen different LS facets of the LIST-K (four cognitive, three metacognitive, three management of internal and three management of external resources) as LPA indicators.
RESULTS
RESULTS
Based on LPA, students can be grouped into four distinct learning profiles: Active learners (45% of the cohort), collaborative learners (17%), structured learners (29%) and passive learners (9%). Students in each of those latent profiles combine the 13 LS facets in a unique way to study anatomy. The profiles differ in both, the overall level of LS usage, and unique combinations of LS used for learning. Importantly, we find that the facets of LS show heterogeneous and subgroup-specific correlations with relevant outcome criteria, which partly overlap but mostly diverge from effects observed on the population level.
CONCLUSIONS
CONCLUSIONS
The effects observed by LPA expand results from variable-centered efforts and challenge the notion that LS operate on a linear continuum. These results highlight the heterogeneity between subgroups of learners and help generate a more nuanced interpretation of learning behaviour. Lastly, our analysis offers practical implications for educators seeking to tailor learning experiences to meet individual student needs.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024 The Authors. Medical Education published by Association for the Study of Medical Education and John Wiley & Sons Ltd.
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