ArticlePloS one2024
Research on virtual reality-based assessment framework and application path in medical education.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Metaverse-based objective structured clinical examinations: an exploratory approach to advancing clinical competency assessment.Korean journal of medical education · 2026Article
- Progress in educational theory and translational implementation of simulation-based education for healthcare professionals: an integrative analysis from theory to effectiveness.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.