The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Virtual reality and brain anatomy: a randomised trial of e‐learning instructional designs
Abstract
Context Computer‐aided instruction is used increasingly in medical education and anatomy instruction with limited research evidence to guide its design and deployment. Objectives To determine the effects of (a) learner control over the e‐learning environment and (b) key views of the brain versus multiple views in the learning of brain surface anatomy. Design Randomised trial with 2 phases of study. Participants Volunteer sample of 1st‐year psychology students (phase 1, n = 120; phase 2, n = 120). Interventions Phase 1: computer‐based instruction in brain surface anatomy with 4 conditions: (1) learner control/multiple views (LMV); (2) learner control/key views (LKV); (3) programme control/multiple views (PMV); (4) programme control/key views (PKV). Phase 2: 2 conditions: low learner control/key views (PKV) versus no learner control/key views (SKV). All participants performed a pre‐test, post‐test and test of visuospatial ability. Main outcome measures A 30‐item post‐test of brain surface anatomy structure identification. Results The PKV group attained the best post‐test score (57.7%) and the PMV group received the worst (42.2%), with the 2 high learner control groups performing in between. For students with low spatial ability, estimated scores are 20% lower for those who saw multiple views during learning. In phase 2, students with the most static condition and no learner control (SKV) performed similarly to those students in the PKV group. Conclusions Multiple views may impede learning, particularly for those with relatively poor spatial ability. High degrees of learner control may reduce effectiveness of learning.
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Cites
Mayer, R. E. (2009) · doi:10.1017/cbo9780511811678 · Cited by 7,800
Mayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777
Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization
Vandenberg, S. G., & Kuse, A. R. (1978) · Perceptual and Motor Skills · doi:10.2466/pms.1978.47.2.599 · Cited by 2,620
Mayer, R. E. (2001) · doi:10.1017/cbo9781139164603 · Cited by 2,304
When is an illustration worth ten thousand words?
Mayer, R. E., & Gallini, J. K. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.4.715 · Cited by 1,051
Instructional control of cognitive load in the training of complex cognitive tasks
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1994) · Educational Psychology Review · doi:10.1007/bf02213420 · Cited by 968
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
Self-citationDo 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
Self-citation
Cited by
The relative effectiveness of computer‐based and traditional resources for education in anatomy
Khot, Z., Quinlan, K., Norman, G. R., & Wainman, B. (2013) · Anatomical Sciences Education · doi:10.1002/ase.1355 · Cited by 274
Self-citationHuang, H.-M., Liaw, S.-S., & Lai, C.-M. (2016) · Interactive Learning Environments · doi:10.1080/10494820.2013.817436 · Cited by 260
Skulmowski, A., Pradel, S., Kühnert, T., Brunnett, G., & Rey, G. D. (2016) · Computers & Education · doi:10.1016/j.compedu.2015.10.011 · Cited by 136
Digital factory – virtual reality environments for industrial training and maintenance
Shamsuzzoha, A., Toshev, R., Vu Tuan, V., Kankaanpaa, T., & Helo, P. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2019.1628072 · Cited by 64
Metadata
- Authors
- Levinson, A. J., Weaver, B., Garside, S., McGinn, H., & Norman, G. R.
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2007-04-05
- Volume
- 41
- Issue
- 5
- Pages
- 495-501
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2103887544
- Cited by
- 205
- References
- 8
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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