Evidence map›Paper›PMID 39509405›Full record

ArticlePloS one2024

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, Shiyong Wang

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yue WangFaculty of Military Health Service, Naval Medical University, Shanghai, China.ORCID 0009-0000-9010-7087
Yan LiInternational Exchange Center for Military Medicine, Naval Medical University, Shanghai, China.
Chen ChenFaculty of Military Health Service, Naval Medical University, Shanghai, China.
Wenli ZhangFaculty of Military Health Service, Naval Medical University, Shanghai, China.
Yaping WangFaculty of Military Health Service, Naval Medical University, Shanghai, China.
Kun ShaFaculty of Military Health Service, Naval Medical University, Shanghai, China.ORCID 0009-0003-0527-3278
Shiyong WangDepartment of Information, Third Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Education, MedicalVirtual RealityAdultEducational MeasurementFemaleHumansLearningMale

Identifiers

PMID39509405
PMCPMC11542797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.