The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Can virtual reality improve anatomy education? A randomised controlled study of a computer‐generated three‐dimensional anatomical ear model
Open accessAbstract
Introduction The use of computer‐generated 3‐dimensional (3‐D) anatomical models to teach anatomy has proliferated. However, there is little evidence that these models are educationally effective. The purpose of this study was to test the educational effectiveness of a computer‐generated 3‐D model of the middle and inner ear. Methods We reconstructed a fully interactive model of the middle and inner ear from a magnetic resonance imaging scan of a human cadaver ear. To test the model's educational usefulness, we conducted a randomised controlled study in which 28 medical students completed a Web‐based tutorial on ear anatomy that included the interactive model, while a control group of 29 students took the tutorial without exposure to the model. At the end of the tutorials, both groups were asked a series of 15 quiz questions to evaluate their knowledge of 3‐D relationships within the ear. Results The intervention group's mean score on the quiz was 83%, while that of the control group was 65%. This difference in means was highly significant ( P < 0.001). Discussion Our findings stand in contrast to the handful of previous randomised controlled trials that evaluated the effects of computer‐generated 3‐D anatomical models on learning. The equivocal and negative results of these previous studies may be due to the limitations of these studies (such as small sample size) as well as the limitations of the models that were studied (such as a lack of full interactivity). Given our positive results, we believe that further research is warranted concerning the educational effectiveness of computer‐generated anatomical models.
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Cites
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
GARG, A. X., NORMAN, G. R., EVA, K. W., SPERO, L., & SHARAN, S. (2002) · Academic Medicine · doi:10.1097/00001888-200210001-00030 · Cited by 184
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
Evaluation of a surgical simulator for learning clinical anatomy
Hariri, S., Rawn, C. L., Srivastava, S., Youngblood, P., & Ladd, A. L. (2004) · Medical Education · doi:10.1111/j.1365-2929.2004.01897.x · Cited by 91
An Interactive, Web-based Tool for Learning Anatomic Landmarks
Hallgren, R. C., Parkhurst, P. E., Monson, C. L., & Crewe, N. M. (2002) · Academic Medicine · doi:10.1097/00001888-200203000-00018 · Cited by 61
Biology and significance of T‐cell apoptosis in the liver
Park, S., Murray, D. A., John, B., & Crispe, I. (2002) · Immunology and Cell Biology · doi:10.1046/j.1440-1711.2002.01065.x · Cited by 56
Cited by
Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.07.033 · Cited by 2,109
Enhancing Our Lives with Immersive Virtual Reality
Slater, M., & Sanchez-Vives, M. V. (2016) · Frontiers in Robotics and AI · doi:10.3389/frobt.2016.00074 · Cited by 1,993
The effectiveness of virtual and augmented reality in health sciences and medical anatomy
Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017) · Anatomical Sciences Education · doi:10.1002/ase.1696 · Cited by 1,040
Kyaw, B. M., Saxena, N., Posadzki, P., Vseteckova, J., Nikolaou, C. K., George, P. P., Divakar, U., Masiello, I., Kononowicz, A. A., Zary, N., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/12959 · Cited by 859
Zhao, J., Xu, X., Jiang, H., & Ding, Y. (2020) · BMC Medical Education · doi:10.1186/s12909-020-1994-z · Cited by 445
Metadata
- Authors
- Nicholson, D. T., Chalk, C., Funnell, W. R. J., & Daniel, S. J.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2006-10-17
- Volume
- 40
- Issue
- 11
- Pages
- 1081-1087
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W1978555198
- Cited by
- 473
- References
- 6
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- green
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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.