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The learning effects of computer simulations in science education
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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
Collaborative Inquiry Learning: Models, tools, and challenges
Bell, T., Urhahne, D., Schanze, S., & Ploetzner, R. (2010) · International Journal of Science Education · doi:10.1080/09500690802582241 · Cited by 541
Dori, Y. J., & Belcher, J. (2005) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1402_3 · Cited by 515
The Transfer of Scientific Principles Using Concrete and Idealized Simulations
Goldstone, R. L., & Son, J. Y. (2005) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1401_4 · Cited by 452
Personalized Messages That Promote Science Learning in Virtual Environments.
Moreno, R., & Mayer, R. E. (2004) · Journal of Educational Psychology · doi:10.1037/0022-0663.96.1.165 · Cited by 370
Windschitl, M., & Andre, T. (1998) · Journal of Research in Science Teaching · doi:10.1002/(sici)1098-2736(199802)35:2<145::aid-tea5>3.0.co;2-s · Cited by 349
Jimoyiannis, A., & Komis, V. (2001) · Computers & Education · doi:10.1016/s0360-1315(00)00059-2 · Cited by 339
Transforming Physics Education
Wieman, C., & Perkins, K. (2005) · Physics Today · doi:10.1063/1.2155756 · Cited by 339
Zacharia, Z. C. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00215.x · Cited by 339
Dalgarno, B., Bishop, A. G., Adlong, W., & Bedgood, D. R. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.005 · Cited by 317
van der Meij, J., & de Jong, T. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.03.007 · Cited by 295
The transition to formal thinking in mathematics
Tall, D. (2008) · Mathematics Education Research Journal · doi:10.1007/bf03217474 · Cited by 291
Transformational Play as a Curricular Scaffold: Using Videogames to Support Science Education
Barab, S. A., Scott, B., Siyahhan, S., Goldstone, R., Ingram-Goble, A., Zuiker, S. J., & Warren, S. (2009) · Journal of Science Education and Technology · doi:10.1007/s10956-009-9171-5 · Cited by 290
Multiple forms of dynamic representation
Ainsworth, S., & VanLabeke, N. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2004.06.002 · Cited by 288
A multi‐user virtual environment for building and assessing higher order inquiry skills in science
Ketelhut, D. J., Nelson, B. C., Clarke, J., & Dede, C. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2009.01036.x · Cited by 246
The use of a computer simulation to promote conceptual change: A quasi-experimental study
Trundle, K. C., & Bell, R. L. (2010) · Computers & Education · doi:10.1016/j.compedu.2009.10.012 · Cited by 239
Effects of learning support in simulation-based physics learning
Chang, K.-E., Chen, Y.-L., Lin, H.-Y., & Sung, Y.-T. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.01.007 · Cited by 235
Science learning in virtual environments: a descriptive study
Trindade, J., Fiolhais, C., & Almeida, L. (2002) · British Journal of Educational Technology · doi:10.1111/1467-8535.00283 · Cited by 207
Promoting Systems Thinking through Biology Lessons
Riess, W., & Mischo, C. (2010) · International Journal of Science Education · doi:10.1080/09500690902769946 · Cited by 198
Collaborative robotic instruction: A graph teaching experience
Mitnik, R., Recabarren, M., Nussbaum, M., & Soto, A. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.02.010 · Cited by 196
The use of a computer simulation to promote scientific conceptions of moon phases
Bell, R. L., & Trundle, K. C. (2008) · Journal of Research in Science Teaching · doi:10.1002/tea.20227 · Cited by 172
Regulative support for collaborative scientific inquiry learning
Manlove, S., Lazonder, A. W., & de Jong, T. (2006) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00162.x · Cited by 149
Reconsidering simulations in science education at a distance: features of effective use
Blake, C. T., & Eileen Scanlon, A. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2007.00239.x · Cited by 143
Learning in Chemistry with Virtual Laboratories
Bellido, M. S. C., Martínez-Jiménez, P., Pedrajas, A. P., & Polo, J. (2003) · Journal of Chemical Education · doi:10.1021/ed080p346 · Cited by 142
Winberg, M., & Berg, C. A. R. (2007) · Journal of Research in Science Teaching · doi:10.1002/tea.20217 · Cited by 137
Wu, H., & Huang, Y. (2007) · Science Education · doi:10.1002/sce.20216 · Cited by 130
Reasoning with Atomic-Scale Molecular Dynamic Models
Pallant, A., & Tinker, R. F. (2004) · Journal of Science Education and Technology · doi:10.1023/b:jost.0000019638.01800.d0 · Cited by 109
Zhang, J., Chen, Q., Sun, Y., & Reid, D. J. (2004) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2004.00062.x · Cited by 107
Clark, D. B., & Jorde, D. (2003) · Journal of Research in Science Teaching · doi:10.1002/tea.10097 · Cited by 107
How science students can learn about unobservable phenomena using computer-based analogies
Trey, L., & Khan, S. A. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.05.019 · Cited by 98
Veermans, K., Joolingen, W. V., & de Jong, T. (2006) · International Journal of Science Education · doi:10.1080/09500690500277615 · Cited by 96
Self-citationIntegrating technologies into educational ecosystems
Dillenbourg, P. (2008) · Distance Education · doi:10.1080/01587910802154939 · Cited by 95
Spatial Learning and Computer Simulations in Science
Lindgren, R., & Schwartz, D. L. (2009) · International Journal of Science Education · doi:10.1080/09500690802595813 · Cited by 93
How Effective Are Simulated Molecular-level Experiments for Teaching Diffusion and Osmosis?
Meir, E., Perry, J., Stal, D., Maruca, S. L., & Klopfer, E. D. (2005) · Cell Biology Education · doi:10.1187/cbe.04-09-0049 · Cited by 90
HighTech Tools for Teaching Physics: the Physics Education Technology Project
Finkelstein, N. D., Adams, W. K., Keller, C., Perkins, K. K., & Wieman, C. (2006) · Cited by 90
Saab, N., van Joolingen, W., & van Hout‐Wolters, B. H. A. M. (2006) · Instructional Science · doi:10.1007/s11251-006-9003-4 · Cited by 88
Stern, L., Barnea, N., & Shauli, S. (2008) · Journal of Science Education and Technology · doi:10.1007/s10956-008-9100-z · Cited by 76
Earth science learning in SMALLab: A design experiment for mixed reality
Birchfield, D. A., & Megowan-Romanowicz, C. (2009) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-009-9074-8 · Cited by 76
Computer Simulations Improve University Instructional Laboratories
Gibbons, N. J., Evans, C., Payne, A. M., Shah, K., & Griffin, D. K. (2004) · Cell Biology Education · doi:10.1187/cbe.04-06-0040 · Cited by 70
Kiboss, J. K., Ndirangu, M., & Wekesa, E. W. (2004) · Journal of Science Education and Technology · doi:10.1023/b:jost.0000031259.76872.f1 · Cited by 69
Instructional environments for simulations
Berkum, J. J. A. V., & de Jong, T. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80006-j · Cited by 68
Akpan, J. P. (2001) · The Electronic Journal of Science Education · Cited by 66
Emerging Conceptual Understanding of Complex Astronomical Phenomena by Using a Virtual Solar System
Gazit, E., Yair, Y. Y., & Chen, D. (2005) · Journal of Science Education and Technology · doi:10.1007/s10956-005-0221-3 · Cited by 62
Gelbart, H., Brill, G., & Yarden, A. (2008) · Research in Science Education · doi:10.1007/s11165-008-9101-1 · Cited by 61
Fund, Z. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2007.00226.x · Cited by 56
Integration of simulation into pre-laboratory chemical course: Computer cluster versus WebCT
Limniou, M., Papadopoulos, N., & Whitehead, C. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.06.006 · Cited by 51
Laakso, M., Myller, N., & Korhonen, A. (2009) · Cited by 49
Instructional Design of Web-based Simulations for Learners with Different Levels of Spatial Ability
Lee, H. (2007) · Instructional Science · doi:10.1007/s11251-006-9010-5 · Cited by 47
Designing for real-world scientific inquiry in virtual environments
Ketelhut, D. J., & Nelson, B. C. (2010) · Educational Research · doi:10.1080/00131881.2010.482741 · Cited by 45
Students’ difficulties in learning from dynamic visualisations and how they may be overcome
Ploetzner, R., Lippitsch, S., Galmbacher, M., Heuer, D., & Scherrer, S. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.06.006 · Cited by 45
Information presentation and troubleshooting in electrical circuits
Kester, L., Kirschner, P. A., & van Merriënboer, J. J. G. (2004) · International Journal of Science Education · doi:10.1080/69032000072809 · Cited by 44
The integration of a viscosity simulator in a chemistry laboratory
Limniou, M., Papadopoulos, N. J., Giannakoudakis, A., Roberts, D. J., & Otto, O. (2007) · Chemistry Education Research and Practice · doi:10.1039/b6rp90032a · Cited by 39
Unraveling the influence of domain knowledge during simulation-based inquiry learning
Lazonder, A. W., Wilhelm, P., & van Lieburg, E. (2008) · Instructional Science · doi:10.1007/s11251-008-9055-8 · Cited by 38
Manlove, S., Lazonder, A. W., & de Jong, T. (2008) · Interactive Learning Environments · doi:10.1080/10494820701706437 · Cited by 37
Characteristics of simulations for instructional settings
van Joolingen, W., & de Jong, T. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80004-h · Cited by 33
Baltzis, K. B., & Koukias, K. D. (2009) · Journal of Science Education and Technology · doi:10.1007/s10956-009-9169-z · Cited by 33
The impact of implementing Technology-Enabled Active Learning (TEAL) in university physics in Taiwan
Shieh, R. S., Chang, W., & Tang, J.-L. (2010) · The Asia-Pacific Education Researcher · doi:10.3860/taper.v19i3.1850 · Cited by 27
Evaluation of software for introducing protein structure
White, B. F., Kahriman, A., Luberice, L., & Idleh, F. (2010) · Biochemistry and Molecular Biology Education · doi:10.1002/bmb.20410 · Cited by 26
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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
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Vlachopoulos, D., & Makri, A. (2017) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0062-1 · Cited by 776
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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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