The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Augmented reality in medical education: students’ experiences and learning outcomes
Open accessAbstract
Augmented reality (AR) is a relatively new technology that allows for digitally generated three-dimensional representations to be integrated with real environmental stimuli. AR can make use of smart phones, tablets, or other devices to achieve a highly stimulating learning environment and hands-on immersive experience. The use of AR in industry is becoming widespread with applications being developed for use not just for entertainment and gaming but also healthcare, retail and marketing, education, military, travel and tourism, automotive industry, manufacturing, architecture, and engineering. Due to the distinct learning advantages that AR offers, such as remote learning and interactive simulations, AR-based teaching programs are also increasingly being adopted within medical schools across the world. These advantages are further highlighted by the current COVID-19 pandemic, which has caused an even greater shift towards online learning. In this review, we investigate the use of AR in medical training/education and its effect on students' experiences and learning outcomes. This includes the main goals of AR-based learning, such as to simplify the delivery and enhance the comprehension of complex information. We also describe how AR can enhance the experiences of medical students, by improving knowledge and understanding, practical skills and social skills. These concepts are discussed within the context of specific AR medical training programs, such as HoloHuman, OculAR SIM, and HoloPatient. Finally, we discuss the challenges of AR in learning and teaching and propose future directions for the use of this technology in medical education.
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Cites
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Cited by
Promising Emerging Technologies for Teaching and Learning: Recent Developments and Future Challenges
Almufarreh, A., & Arshad, M. (2023) · Sustainability · doi:10.3390/su15086917 · Cited by 109
Zielke, M. A., Zakhidov, D., Lo, T., Craig, S. D., Rege, R., Pyle, H., Meer, N. V., & Kuo, N. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323280 · Cited by 15
Faruk, M., Ali, M., Susilana, R., Dewi, L., Alias, N., Mahardika, I. M. S. U., Syafi’i, I., Huda, M. S., Wahyudi, A. R., Andriana, L. M., et al. (2025) · Retos · doi:10.47197/retos.v64.111727 · Cited by 9
Metadata
- Authors
- Dhar, P., Rocks, T., Samarasinghe, R. M., Stephenson, G., & Smith, C.
- Venue
- Medical Education Online
- Publisher
- Informa UK Limited
- Published
- 2021-01-01
- Volume
- 26
- Issue
- 1
- Pages
- 1953953-1953953
- ISSN
- 1087-2981 (ISSN-L)
- OpenAlex
- W3181566864
- Cited by
- 325
- References
- 37
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.