The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
The learning effects of computer simulations in science education
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Citations
Cites
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006) · Educational Psychologist · doi:10.1207/s15326985ep4102_1 · Cited by 7,776
Schema induction and analogical transfer
Gick, M. L., & Holyoak, K. J. (1983) · Cognitive Psychology · doi:10.1016/0010-0285(83)90002-6 · Cited by 3,010 · cited 1×
“The authors recommend combining both concrete and idealized formats, a conclusion that is consistent with theories that predict more general schemas when the schemas are multiply instantiated (e.g., Gick & Holyoak, 1980, 1983).”
ResultGick, M. L., & Holyoak, K. J. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90013-4 · Cited by 2,552 · cited 1×
“The authors recommend combining both concrete and idealized formats, a conclusion that is consistent with theories that predict more general schemas when the schemas are multiply instantiated (e.g., Gick & Holyoak, 1980, 1983).”
ResultPapastergiou, M. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.06.004 · Cited by 1,689
Scientific discovery learning with computer simulations of conceptual domains
De Jong, T., & Van Joolingen, W. R. (1998) · Review of Educational Research · doi:10.3102/00346543068002179 · Cited by 1,593
Does discovery-based instruction enhance learning?
Alfieri, L., Brooks, P. J., Aldrich, N. J., & Tenenbaum, H. R. (2011) · Journal of Educational Psychology · doi:10.1037/a0021017 · Cited by 1,338
Obstacles to the integration of ICT in education: results from a worldwide educational assessment
Pelgrum, W. J. (2001) · Computers & Education · doi:10.1016/s0360-1315(01)00045-8 · Cited by 1,189
Instructional animation versus static pictures: A meta-analysis
Höffler, T. N., & Leutner, D. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.09.013 · Cited by 992
Finkelstein, N. D., Adams, W. K., Keller, C. J., Kohl, P. B., Perkins, K. K., Podolefsky, N. S., Reid, S., & LeMaster, R. (2005) · Physical Review Special Topics - Physics Education Research · doi:10.1103/physrevstper.1.010103 · Cited by 645
How to calculate effect sizes from published research: A simplified methodology
Thalheimer, W., & Cook, S. (2002) · Cited by 571
Cited by
Augmented reality for STEM learning: A systematic review
Ibáñez, M.-B., & Delgado-Kloos, C. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.05.002 · Cited by 1,036
Affordances of Augmented Reality in Science Learning: Suggestions for Future Research
Cheng, K.-H., & Tsai, C.-C. (2013) · Journal of Science Education and Technology · doi:10.1007/s10956-012-9405-9 · Cited by 848
Makransky, G., & Lilleholt, L. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9581-2 · Cited by 796
The effect of games and simulations on higher education: a systematic literature review
Vlachopoulos, D., & Makri, A. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0062-1 · Cited by 776
Enhancing learning and engagement through embodied interaction within a mixed reality simulation
Lindgren, R., Tscholl, M., Wang, S., & Johnson, E. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.01.001 · Cited by 560
Metadata
- Authors
- Rutten, N., van Joolingen, W. R., & van der Veen, J. T.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 58
- Issue
- 1
- Pages
- 136-153
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2017915901
- Cited by
- 985
- References
- 67
- FWCI
- 184.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The learning effects of computer simulations in science education. https://app.cochat.ai/papers/10.1016/j.compedu.2011.07.017
- The paper
- Rutten, N., van Joolingen, W. R., & van der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education. https://doi.org/10.1016/j.compedu.2011.07.017
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.
