The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Immersive virtual reality as a teaching tool for neuroanatomy
Abstract
Background: Three‐dimensional (3D) computer modeling and interactive virtual reality (VR) simulation are validated teaching techniques used throughout medical disciplines. Little objective data exists supporting its use in teaching clinical anatomy. Learner motivation is thought to limit the rate of utilization of such novel technologies. The purpose of this study is to evaluate the effectiveness, satisfaction, and motivation associated with immersive VR simulation in teaching medical students neuroanatomy. Methods: Images of normal cerebral anatomy were reconstructed from human Digital Imaging and Communications in Medicine (DICOM) computed tomography (CT) imaging and magnetic resonance imaging (MRI) into 3D VR formats compatible with the Oculus Rift VR System, a head‐mounted display with tracking capabilities allowing for an immersive VR experience. The ventricular system and cerebral vasculature were highlighted and labeled to create a focused interactive model. We conducted a randomized controlled study with 66 medical students (33 in both the control and experimental groups). Pertinent neuroanatomical structures were studied using either online textbooks or the VR interactive model, respectively. We then evaluated the students’ anatomy knowledge, educational experience, and motivation (using the Instructional Materials Motivation Survey [IMMS], a previously validated assessment). Results: There was no significant difference in anatomy knowledge between the 2 groups on preintervention, postintervention, or retention quizzes. The VR group found the learning experience to be significantly more engaging, enjoyable, and useful (all p < 0.01) and scored significantly higher on the motivation assessment (p < 0.01). Conclusion: Immersive VR educational tools awarded a more positive learner experience and enhanced student motivation. However, the technology was equally as effective as the traditional text books in teaching neuroanatomy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Development and use of the ARCS model of instructional design
Keller, J. M. (1987) · Journal of Instructional Development · doi:10.1007/bf02905780 · Cited by 2,332 · cited 1×
“17,19,20 This model characterizes 4 key aspects of motivation in education: attention, relevance, confi-dence, and satisfaction.”
BackgroundMotivational Design for Learning and Performance: The ARCS Model Approach
Keller, J. M. (2010) · doi:10.1007/978-1-4419-1250-3 · Cited by 1,113
Changes in Student Motivation During Online Learning
Kim, K.-J., & Frick, T. W. (2011) · Journal of Educational Computing Research · doi:10.2190/ec.44.1.a · Cited by 358
How medical students learn spatial anatomy
Garg, A. X., Norman, G., & Sperotable, L. (2001) · The Lancet · doi:10.1016/s0140-6736(00)03649-7 · Cited by 351
Do virtual computer models hinder anatomy learning?
Garg, A., Norman, G. R., Spero, L., & Maheshwari, P. (1999) · Academic Medicine · doi:10.1097/00001888-199910000-00049 · Cited by 183
Research works printed but not linked: 38
- 10.1002/(SICI)1098-2353(1999)12:1<55::AID-CA8>3.0.CO;2-O · DOI · Paper page
- 10.1002/ase.117 · DOI · Paper page
- 10.1056/NEJMp048100 · doi:10.1056/nejmp048100
- 10.1002/1098-2353(200101)14:1<90::AID-CA1014>3.0.CO;2-X · doi:10.1002/1098-2353(200101)14:1<90::aid-ca1014>3.0.co;2-x
- 10.1002/ca.20359 · DOI
- 10.1016/j.aanat.2007.10.001 · DOI · Paper page
- 10.1002/ase.186 · DOI · Paper page
- 10.1002/ase.139 · DOI · Paper page
- 10.1016/j.compedu.2005.06.005 · doi:10.1016/j.compedu.2005.06.005
- 10.1097/MOO.0b013e32814b0802 · doi:10.1097/moo.0b013e32814b0802
- 10.1080/08923640802239962 · DOI · Paper page
- 10.1080/08923640109527092 · DOI
- Serwatka JA., 2005, Improving retention in distance learning classes, International Journal of Distance Education Technologies, 2, 59
- 10.1007/BF02504998 · DOI
- 10.3102/00028312016004375 · doi:10.3102/00028312016004375 · Paper page
- 10.1111/j.1467-1770.1991.tb00690.x · DOI · Paper page
- Keller JM., 1999, Motivation in cyber learning environments, International Journal of Educational Telecommunications, 1, 7
- 10.1080/01587910802154970 · DOI · Paper page
- Chang M, 2003, Learning foreign language through an interactive multimedia program: an experimental study on the effects of the relevance component of the ARCS model, CALICO Journal, 20, 81, 10.1558/cj.v20i1.81-98 · DOI
- 10.1097/ACM.0b013e3181baf56d · DOI
- Jang KS, 2005, Effects of a web‐based teaching method on undergraduate nursing students’ learning of electrocardiography, J Nurs Educ, 44, 35, 10.3928/01484834-20050101-07 · DOI
- 10.1016/j.ijsu.2013.11.007 · DOI
- 10.1016/j.amjsurg.2007.06.026 · DOI
- 10.1111/j.1365-2929.2006.02611.x · DOI · Paper page
- 10.1097/00001888-200210001-00030 · DOI · Paper page
- Hu A, 2010, Evaluation of a three‐dimensional educational computer model of the larynx: voicing a new direction, J Otolaryngol Head Neck Surg, 39, 315
- 10.1111/j.1365-2929.2004.01897.x · DOI
- 10.1001/archoto.2011.76 · DOI
- 10.1017/S0022215111002830 · DOI
- 10.1016/j.ajog.2006.06.076 · doi:10.1016/j.ajog.2006.06.076
- 10.1177/194589240602000211 · doi:10.1177/194589240602000211
- 10.1002/ca.10067 · doi:10.1002/ca.10067
- Riva G, 2015, Annual Review of Cybertherapy and Telemedicine, 3
- 10.1227/01.neu.0000279734.22931.21 · DOI · Paper page
- 10.1093/neurosurgery/46.1.118 · doi:10.1093/neurosurgery/46.1.118
- 10.1055/s-2006-931620 · doi:10.1055/s-2006-931620
- 10.1016/j.jsurg.2015.05.008 · DOI · Paper page
- Chandler C, 2007, Effective use of educational technology in medical education
Cited by
Makransky, G., & Lilleholt, L. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9581-2 · Cited by 796
Zhao, J., Xu, X., Jiang, H., & Ding, Y. (2020) · BMC Medical Education · doi:10.1186/s12909-020-1994-z · Cited by 445
The potential of immersive virtual reality to enhance learning: A meta-analysis
Coban, M., Bolat, Y. I., & Goksu, I. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100452 · Cited by 354
Ryan, G. V., Callaghan, S., Rafferty, A., Higgins, M. F., Mangina, E., & McAuliffe, F. (2022) · Journal of Medical Internet Research · doi:10.2196/30082 · Cited by 242
“A full list of the validated scales used in the RCTs in this review is provided in Multimedia Appendix 2 [26,33,34,36-38,41 ,42 ,45-49”
Use of Extended Reality in Medical Education: An Integrative Review
Curran, V. R., Xu, X., Aydin, M. Y., & Meruvia-Pastor, O. (2022) · Medical Science Educator · doi:10.1007/s40670-022-01698-4 · Cited by 107
Metadata
- Authors
- Stepan, K., Zeiger, J., Hanchuk, S., Del Signore, A., Shrivastava, R., Govindaraj, S., & Iloreta, A.
- Venue
- International Forum of Allergy & Rhinology
- Publisher
- Wiley
- Published
- 2017-07-18
- Volume
- 7
- Issue
- 10
- Pages
- 1006-1013
- ISSN
- 2042-6976 (ISSN-L)
- 2042-6984
- OpenAlex
- W2738549128
- Cited by
- 402
- References
- 5
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- Surgical Theater
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Immersive virtual reality as a teaching tool for neuroanatomy. https://app.cochat.ai/papers/10.1002/alr.21986
- The paper
- Stepan, K., Zeiger, J., Hanchuk, S., Del Signore, A., Shrivastava, R., Govindaraj, S., & Iloreta, A. (2017). Immersive virtual reality as a teaching tool for neuroanatomy. International Forum of Allergy & Rhinology. https://doi.org/10.1002/alr.21986
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.