Evidence map›Paper›PMID 41896851›Full record

ArticleBMC medical education2026

Past, present, and future of virtual reality-based biological science education (2010-2025): a BERTopic-driven analysis.

Junhua Xian, Junjie Gavin Wu

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Junhua XianFaculty of Applied Sciences, Macao Polytechnic University, Macao SAR, 999078, China.
Junjie Gavin WuFaculty of Languages and Translation, Macao Polytechnic University, Macao SAR, China. gavinjunjiewu@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual reality (VR) is transforming biological science education through the creation of immersive simulated environments. This study employs the Bidirectional Encoder Representations from Transformers Topic (BERTopic) modeling technique to conduct a structural and evolutionary analysis of the literature on VR in biological science education from January 2010 to July 2025. By analyzing 164 peer-reviewed articles, we identified five core research topics and mapped their structural relationships and temporal evolution. The results reveal a core-satellite structure within the field, with technology-enhanced education in biological design (Topic 0) as the central topic, surrounded by specialized subfields such as data and imaging methods for integrated realities (Topic 2) and immersive technology and long-term memory (Topic 3), both of which have demonstrated synchronous growth since 2018. The study delineates a pedagogical framework encompassing content construction, immersive experience, assessment, and application. These findings provide data-driven evidence to support educational institutions in strategically allocating resources, particularly toward the emerging frontiers such as data integration and cognitive enhancement, thereby optimizing curriculum design and VR implementation in biological science education.

Indexed as

Biological Science DisciplinesVirtual RealityAcademiaCurriculumHumansBERTopic modelingBibliometric analysisBiological science educationVirtual reality

Identifiers

PMID41896851
PMCPMC13104408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.