The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Who benefits from learning with 3D models? the case of spatial ability
Abstract
Empirical studies that focus on the impact of three‐dimensional (3D) visualizations on learning are to date rare and inconsistent. According to the ability‐as‐enhancer hypothesis, high spatial ability learners should benefit particularly as they have enough cognitive capacity left for mental model construction. In contrast, the ability‐as‐compensator hypothesis proposes that low spatial ability learners should gain particular benefit from explicit graphical representations as they have difficulty mentally constructing their own visualizations. This study examines the impact that interactive 3D models implemented within a hypermedia‐learning environment have on understanding of cell biology. Test scores in a subsequent knowledge acquisition test demonstrated a significant interaction term between students' spatial ability and presence/absence of 3D models. Only students with high spatial ability benefited from the presence of 3D models, while low spatial ability students got fewer points when learning this way. When using 3D models, high spatial ability students perceived their cognitive load to be low whereas the opposite was true for low spatial ability students. The data suggest that students with low spatial ability became cognitively overloaded by the presence of 3D models, while high spatial ability students benefited from them as their total cognitive load remained within working memory limits.
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
Baddeley, A. D., & Hitch, G. (1974) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60452-1 · Cited by 9,860
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Human Cognitive Abilities: A Survey of Factor-Analytic Studies
Carroll, J. B. (1993) · doi:10.1017/cbo9780511571312 · Cited by 4,121
Cognitive Load Theory and Instructional Design: Recent Developments
Paas, F., Renkl, A., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_1 · Cited by 3,041
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory
Paas, F., Tuovinen, J. E., Tabbers, H., & Van Gerven, P. W. M. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_8 · Cited by 2,527
Mayer, R. E. (2001) · doi:10.1017/cbo9781139164603 · Cited by 2,304
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_4 · Cited by 1,927
Cognitive Theory of Multimedia Learning
Mayer, R. E. (2005) · The Cambridge Handbook of Multimedia Learning · doi:10.1017/cbo9780511816819.004 · Cited by 1,602
Research works printed but not linked: 18
- Byrne C.B., 1996, Water on Tap. The Use of Virtual Reality as an Educational Tool
- 10.1080/15235882.1995.10668603 · doi:10.1080/15235882.1995.10668603
- 10.1080/00220973.1975.10806339 · doi:10.1080/00220973.1975.10806339
- Huk T., 2003, Proceedings of the IADIS International Conference WWW/Internet, 1187
- Ivanov A.S., 1996, Education program for macromolecules structure examination, Journal of Chemical Information and Computer Sciences, 36, 660, 10.1021/ci950127l · doi:10.1021/ci950127l
- 10.1037/0022-0663.92.1.126 · doi:10.1037/0022-0663.92.1.126 · Paper page
- Keller T., 2004, Proceedings of the 26th Annual Conference of the Cognitive Science Society, 666
- Kosslyn S.M., 1980, Image and Mind
- 10.2307/1130467 · doi:10.2307/1130467 · Paper page
- 10.1002/tea.3660240808 · doi:10.1002/tea.3660240808
- 10.1007/978-3-540-24674-9_11 · doi:10.1007/978-3-540-24674-9_11
- Noguchi S., 2004, A new interactive visualization system with force feedback for electromagnetics education, International Journal of Applied Electromagnetics and Mechanics, 19, 385, 10.3233/JAE-2004-595 · doi:10.3233/jae-2004-595
- 10.1016/0169-7552(95)00117-6 · doi:10.1016/0169-7552(95)00117-6
- 10.1016/S0167-739X(99)00095-3 · doi:10.1016/s0167-739x(99)00095-3
- 10.1187/cbe.03-01-0002 · doi:10.1187/cbe.03-01-0002
- Sternberg R.J., 1990, Metaphors of Mind: Conceptions of the Nature of Human Intelligence
- Stumpf H., 1983, Schlauchfiguren‐Ein Test zur Beurteilung des räumlichen Vorstellungsvermögens
- 10.1038/modpathol.3800113 · doi:10.1038/modpathol.3800113
Cited by
Cognitive load theory, educational research, and instructional design: some food for thought
de Jong, T. (2010) · Instructional Science · doi:10.1007/s11251-009-9110-0 · Cited by 1,180
Skulmowski, A., & Xu, K. M. (2022) · Educational Psychology Review · doi:10.1007/s10648-021-09624-7 · Cited by 678
Learning with desktop virtual reality: Low spatial ability learners are more positively affected
Lee, E. A.-L., & Wong, K. W. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.07.010 · Cited by 444
Jang, S., Vitale, J. M., Jyung, R. W., & Black, J. B. (2017) · Computers & Education · doi:10.1016/j.compedu.2016.12.009 · Cited by 320
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
Metadata
- Authors
- Huk, T.
- Venue
- Journal of Computer Assisted Learning
- Publisher
- Wiley
- Published
- 2006-11-07
- Volume
- 22
- Issue
- 6
- Pages
- 392-404
- ISSN
- 0266-4909 (ISSN-L)
- 1365-2729
- OpenAlex
- W1549037136
- Cited by
- 354
- References
- 39
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- closed
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