Research on virtual reality-based assessment framework and application path in medical education

Yue Wang, Yan Li, Chen Chen, Wenli Zhang, Yaping Wang, Kun Sha and Shiyong Wang

PLOS ONE, 2024, vol. 19, issue 11, 1-19

Abstract: While virtual reality(VR) technology enhances learning, it also places new demands on medical learning evaluation. Verifying the occurrence of learning is a primary issue. To design and implement practical and feasible VR-based learning evaluation based on the immersive learning evaluation framework, the Substitution-Augmentation-Modification-Redefinition (SAMR) model, a VR-based learning evaluation framework, was constructed. This framework included competency, learning objectives, assessment tasks, evaluation data, criteria, and feedback. A comprehensive application pathway was developed, utilizing technological integration frameworks. This pathway includes the selection and implementation processes to offer teachers theoretical direction on evaluating medical learning using VR. Finally, this study performed a learning evaluation utilizing VR. The findings revealed that using VR for evaluation can create a deeply engaging and interactive environment. Participants reported feeling a strong sense of being present in the virtual environment and expressed high acceptance and satisfaction with the VR evaluation process. Furthermore, they believed that VR evaluation offers a comprehensive and practical means of assessing cognitive abilities and receiving feedback. These findings establish that VR evaluation optimise learning assessment and showcase the feasibility of the assessment framework and application path.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0310782

DOI: 10.1371/journal.pone.0310782

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