Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Jun 4:12:1555053.
doi: 10.3389/fmed.2025.1555053. eCollection 2025.

Enhancing anatomy education with virtual reality: integrating three-dimensional models for improved learning efficiency and student satisfaction

Affiliations
Review

Enhancing anatomy education with virtual reality: integrating three-dimensional models for improved learning efficiency and student satisfaction

Shuliang Niu et al. Front Med (Lausanne). .

Abstract

Traditional anatomy education, which primarily relies on two-dimensional imagery, often struggles to effectively convey the complex spatial relationships of human anatomy. Virtual reality and three-dimensional (3D) anatomy models present a promising solution to these limitations. This study investigates the impact of integrating 3D anatomy models into a blended learning framework across pre-class, in-class, and post-class phases. A total of 169 medical students from Xinjiang Medical University were divided into three groups: a control group (Class A, n = 57) following a traditional blended learning approach, and two experimental groups: Class B (n = 56), which incorporated continuous 3D model integration, and Class C (n = 56), which adopted a phased 3D model integration strategy. Learning outcomes and student satisfaction were assessed through formative evaluations, surveys, and statistical analyses. Our analytical framework employed dual statistical validation protocols: parametric testing via independent samples t-tests for normally distributed data and non-parametric verification through Mann-Whitney U tests for skewed distributions. Class B achieved higher scores than Class A across two assessment stages (p < 0.05). In pre-class evaluations, Class B (n = 56) scored 69.7 ± 7.5 compared to Class A's 63.8 ± 6.9 (n = 57). This performance gap persisted during in-class assessments, with Class B attaining 77.1 (± 8.7) against Class A's 70.8 (± 7.6). Prior to the intervention, Class C (n = 56) exhibited a mean score of 61.8 ± 6.1, which increased to 67.0 ± 6.7 post-intervention. The score gaps demonstrate the teaching method's effectiveness Class C demonstrated a statistically significant enhancement in pre-class assessment performance (p < 0.05) following the implementation of 3D anatomical modeling. However, no significant differences were observed among the groups in midterm or final exam scores (p > 0.05). Satisfaction scores in Class B were significantly higher than in Class A (p < 0.05), particularly in aspects of learning interest and teaching diversity. Class C also reported increased satisfaction in some dimensions after 3D model integration (p < 0.05). All survey instruments demonstrated good reliability (Cronbach's alpha > 0.7). In conclusion, while 3D anatomy models enhance student engagement, learning efficiency, and overall satisfaction, their effect on long-term retention and final exam performance remains limited. These findings underscore the need for a strategic approach to integrating 3D technologies in anatomy education to maximize their educational benefits.

Keywords: anatomy education; digital technology; teaching methodology; three-dimensional anatomy model; virtual reality.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Comparative performance analysis of Class A and B at different time points (p < 0.05). *p < 0.05.
FIGURE 2
FIGURE 2
Comparative performance analysis of Class C before and after utilizing 3D human anatomy models (P < 0.05). *p < 0.05.

Similar articles

References

    1. Barteit S, Lanfermann L, Bärnighausen T, Neuhann F, Beiersmann C. Augmented, mixed, and virtual reality-based head-mounted devices for medical education: Systematic review. JMIR Serious Games. (2021) 9:e29080. 10.2196/29080 - DOI - PMC - PubMed
    1. Duan L, Da Xu L. Data analytics in industry 4.0: A survey. Inf Syst Front. (2021): 10.1007/s10796-021-10190-0 Online ahead of print. - DOI - PMC - PubMed
    1. Zhou X, Wu X. Teaching mode based on educational big data mining and digital twins. Comput Intell Neurosci. (2022) 2022:9071944. 10.1155/2022/9071944 - DOI - PMC - PubMed
    1. Dennick R. Constructivism: Reflections on twenty five years teaching the constructivist approach in medical education. Int J Med Educ. (2016) 7:200–5. 10.5116/ijme.5763.de11 - DOI - PMC - PubMed
    1. Castro Benavides LM, Tamayo Arias JA, Arango Serna MD, Branch Bedoya JW, Burgos D. Digital transformation in higher education institutions: A systematic literature review. Sensors (Basel). (2020) 20:3291. 10.3390/s20113291 - DOI - PMC - PubMed

LinkOut - more resources