Evidence map›Paper›PMID 34423695›Full record

ArticleAnnals of medicine2021

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

Cheng-Maw Ho, Chi-Chuan Yeh, Jann-Yuan Wang, Rey-Heng Hu, Po-Huang Lee

Abstract read
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Article in Annals of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Cheng-Maw HoDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chi-Chuan YehDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Jann-Yuan WangSchool of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Rey-Heng HuDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Po-Huang LeeDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline 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.

methodsA 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

resultsOf 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.

conclusionAssociation 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 MESSAGEImplementing 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.

Indexed as

Students, MedicalAdultCross-Sectional StudiesEducation, DistanceEducation, MedicalFemaleHumansLearningMaleMotivationPrecision MedicineSurveys and QuestionnairesVideo Recordingclass styleOnline video learning patternprecision medical education

Identifiers

PMID34423695
PMCPMC8386719

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.