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Pre-class online video learning and class style expectation: patterns, association, and precision medical education

BACKGROUND: Online video learning has been gaining substantial attention in medical education. The purpose of the study was to evaluate medical students’ online video-viewing patterns as well as to identify features associated with their class style preferences in precision medicine courses. METHODS...

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Autores principales: Ho, Cheng-Maw, Yeh, Chi-Chuan, Wang, Jann-Yuan, Hu, Rey-Heng, Lee, Po-Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386719/
https://www.ncbi.nlm.nih.gov/pubmed/34423695
http://dx.doi.org/10.1080/07853890.2021.1967441
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author Ho, Cheng-Maw
Yeh, Chi-Chuan
Wang, Jann-Yuan
Hu, Rey-Heng
Lee, Po-Huang
author_facet Ho, Cheng-Maw
Yeh, Chi-Chuan
Wang, Jann-Yuan
Hu, Rey-Heng
Lee, Po-Huang
author_sort Ho, Cheng-Maw
collection PubMed
description BACKGROUND: Online video learning has been gaining substantial attention in medical education. The purpose of the study was to evaluate medical students’ online video-viewing patterns as well as to identify features associated with their class style preferences in precision medicine courses. METHODS: A mixed methods research design was used. Part of the cognitive load of the class content of “acute liver failure” was shifted to a 10-minute pre-class online video learning which was further reduced using threshold concept strategy. In the 2019 academic year, all fifth-year medical students who had viewed the pre-class video were invited to take a survey on their learning process and four class style expectations for the upcoming in-person class. For each round of medical students, teaching assistants helped collect anonymous survey data before the class. The teacher then adjusted the in-person class as part of precision medical education. Furthermore, the researchers coded the video-viewing patterns through an action log transformation, along with the questionnaire results, for analysis. Mann–Whitney U and Kruskal–Wallis tests were employed to compare group differences. Qualitative data were content-coded through a descriptive approach using thematic analysis. RESULTS: Of the 130 medical students, 114 (87.7%) joined the pre-class video learning, 113 (86.9%) responded to the questionnaires, and 87 (66.9%) provided their comments. Most medical students preferred the class styles of a thorough introduction (42.5%) and concept orientation (44.2%). High-engagement viewing patterns were associated with difficult concepts and the provision of comments. Class style expectation and video-viewing patterns did not demonstrate significant linkages. A majority of the substantial comments initiated thought-provoking questions after the online video learning. CONCLUSION: Association between medical students’ preferred class styles and online video-viewing patterns was not necessarily linked. However, medical teachers are recommended to modify class styles based on medical students’ expectations after pre-class learning, thereby providing precision medical education. KEY MESSAGE: Implementing precision medical education in the blended class is feasible. Online video learning is an ideal platform for balancing the dilemma between increasing the cognitive load of class content and the practice of precision medical education. The association between medical students’ preferred class styles and online video-viewing patterns was not clearly seen.
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spelling pubmed-83867192021-08-25 Pre-class online video learning and class style expectation: patterns, association, and precision medical education Ho, Cheng-Maw Yeh, Chi-Chuan Wang, Jann-Yuan Hu, Rey-Heng Lee, Po-Huang Ann Med Medical Education BACKGROUND: Online video learning has been gaining substantial attention in medical education. The purpose of the study was to evaluate medical students’ online video-viewing patterns as well as to identify features associated with their class style preferences in precision medicine courses. METHODS: A mixed methods research design was used. Part of the cognitive load of the class content of “acute liver failure” was shifted to a 10-minute pre-class online video learning which was further reduced using threshold concept strategy. In the 2019 academic year, all fifth-year medical students who had viewed the pre-class video were invited to take a survey on their learning process and four class style expectations for the upcoming in-person class. For each round of medical students, teaching assistants helped collect anonymous survey data before the class. The teacher then adjusted the in-person class as part of precision medical education. Furthermore, the researchers coded the video-viewing patterns through an action log transformation, along with the questionnaire results, for analysis. Mann–Whitney U and Kruskal–Wallis tests were employed to compare group differences. Qualitative data were content-coded through a descriptive approach using thematic analysis. RESULTS: Of the 130 medical students, 114 (87.7%) joined the pre-class video learning, 113 (86.9%) responded to the questionnaires, and 87 (66.9%) provided their comments. Most medical students preferred the class styles of a thorough introduction (42.5%) and concept orientation (44.2%). High-engagement viewing patterns were associated with difficult concepts and the provision of comments. Class style expectation and video-viewing patterns did not demonstrate significant linkages. A majority of the substantial comments initiated thought-provoking questions after the online video learning. CONCLUSION: Association between medical students’ preferred class styles and online video-viewing patterns was not necessarily linked. However, medical teachers are recommended to modify class styles based on medical students’ expectations after pre-class learning, thereby providing precision medical education. KEY MESSAGE: Implementing precision medical education in the blended class is feasible. Online video learning is an ideal platform for balancing the dilemma between increasing the cognitive load of class content and the practice of precision medical education. The association between medical students’ preferred class styles and online video-viewing patterns was not clearly seen. Taylor & Francis 2021-08-23 /pmc/articles/PMC8386719/ /pubmed/34423695 http://dx.doi.org/10.1080/07853890.2021.1967441 Text en © 2021 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.
spellingShingle Medical Education
Ho, Cheng-Maw
Yeh, Chi-Chuan
Wang, Jann-Yuan
Hu, Rey-Heng
Lee, Po-Huang
Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title_full Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title_fullStr Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title_full_unstemmed Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title_short Pre-class online video learning and class style expectation: patterns, association, and precision medical education
title_sort pre-class online video learning and class style expectation: patterns, association, and precision medical education
topic Medical Education
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386719/
https://www.ncbi.nlm.nih.gov/pubmed/34423695
http://dx.doi.org/10.1080/07853890.2021.1967441
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