Learning and Instruction with Computer Simulations: Learning Processes Involved

de Jong, Ton; Njoo, Melanie

doi:10.1007/978-3-642-77228-3_19

Cited by 125Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning MethodsVisual and Cognitive Learning Processes

Learning and Instruction with Computer Simulations: Learning Processes Involved

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de Jong, Ton, Njoo, Melanie·1992·Computer-Based Learning Environments and Problem Solving

DOI 10.1007/978-3-642-77228-3_19

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Discussion can be seen as a process supporting meta-cognition or regulative processes of inquiry learning.
“In this context, discussion can be seen as a process supporting meta-cognition or regulative processes of inquiry learning as proposed by de Jong and Njoo (1992).”
From Phases of inquiry-based learning: Definitions and the inquiry cycle (2015) · cites this paper as de Jong and Njoo (1992)

Educational Psychology: A Cognitive View
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1968) · Medical Entomology and Zoology · Cited by 5,204 · see citing works
ON EDUCATIONAL PSYCHOLOGY: A COGNITIVE VIEW
Yalow, E. S. (1979) · Contemporary Psychology · doi:10.1037/018985 · Cited by 1,570 · see citing works
Scientific Discovery
Pat Langley, B., Simon, H. A., Bradshaw, G. L., & Żytkow, J. M. (1987) · The MIT Press eBooks · doi:10.7551/mitpress/5782.003.0013 · Cited by 1,098 · see citing works
Dual space search during scientific reasoning
Klahr, D., & Dunbar, K. (1988) · Cognitive Science · doi:10.1207/s15516709cog1201_1 · Cited by 1,058 · see citing works
Scientific Discovery: Computational Explorations of the Creative Processes
Pat Langley, B., Simon, H. A., Bradshaw, G. L., & Żytkow, J. M. (1987) · Medical Entomology and Zoology · Cited by 802 · see citing works
Learning and Individual Differences
Chen, J., & Usher, E. L. (2013) · Cited by 469 · see citing works
Intelligent tutoring systems : lessons learned
Psotka, J., Massey, L., & Mutter, S. A. (1988) · Medical Entomology and Zoology · Cited by 447 · see citing works
STEAMER: An Interactive Inspectable Simulation-Based Training System
Hollan, J., Hutchins, E., & Weitzman, L. (1984) · The AI Magazine · doi:10.1609/aimag.v5i2.434 · Cited by 438 · see citing works
The impact of microcomputer‐based labs on children's ability to interpret graphs
Mokros, J. R., & Tinker, R. F. (1987) · Journal of Research in Science Teaching · doi:10.1002/tea.3660240408 · Cited by 341 · see citing works
Learning by Discovery: A Critical Appraisal
Goldner, R. H., Shulman, L. S., & Keislar, E. R. (1969) · American Educational Research Journal · doi:10.2307/1162106 · Cited by 286 · see citing works
A Large‐Scale Evaluation of an Intelligent Discovery World: Smithtown
Shute, V. J., & Glaser, R. A. (1990) · Interactive Learning Environments · doi:10.1080/1049482900010104 · Cited by 279 · see citing works
Causal model progressions as a foundation for intelligent learning environments
White, B. Y., & Frederiksen, J. R. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90095-h · Cited by 273 · see citing works
Machine Mediated Learning
Parslow, G. P. (1990) · Biochemical Education · doi:10.1016/0307-4412(90)90227-f · Cited by 257 · see citing works
Causal Model Progressions as a Foundation for Intelligent Learning Environments
White, B. Y., & Frederiksen, J. R. (1990) · The MIT Press eBooks · doi:10.7551/mitpress/1167.003.0004 · Cited by 248 · see citing works
Learning and Instruction : European Research in an International Context /
Simons, P. R. J., Carreto, M. C. M., Pope, M. L., & Pozo, J. I. (1991) · Utrecht University Repository (Utrecht University) · Cited by 215 · see citing works
Learning and instruction with computer simulations
de Jong, T. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80002-f · Cited by 182 · see citing works
Learning scientific reasoning skills in microcomputer‐based laboratories
Friedler, Y., Nachmias, R., & Linn, M. C. (1990) · Journal of Research in Science Teaching · doi:10.1002/tea.3660270208 · Cited by 165 · see citing works
Studying Physics Texts: Differences in Study Processes Between Good and Poor Performers
Ferguson‐Hessler, M. G. M., & de Jong, T. (1990) · Cognition and Instruction · doi:10.1207/s1532690xci0701_2 · Cited by 160 · see citing works
Causal Models and Experimentation Strategies in Scientific Reasoning
Schauble, L., Glaser, R. A., Raghavan, K., & Reiner, M. (1991) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0102_3 · Cited by 156 · see citing works
Computer simulations to stimulate scientific problem solving
Rivers, R. H., & Vockell, E. L. (1987) · Journal of Research in Science Teaching · doi:10.1002/tea.3660240504 · Cited by 148 · see citing works
Inference and Discovery in an Exploratory Laboratory.
Shute, V. J., Glaser, R. A., & Raghavan, K. (1988) · Cited by 87 · see citing works
The nature and use of prediction skills in a biological computer simulation
Lavoie, D. R., & Good, R. (1988) · Journal of Research in Science Teaching · doi:10.1002/tea.3660250503 · Cited by 67 · see citing works
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 62 · see citing works
Model‐Building Tools for Simulation‐Based Training
Towne, D. M., Munro, A., Pizzini, Q. A., Surmon, D. S., Coller, L. D., & Wogulis, J. L. (1990) · Interactive Learning Environments · doi:10.1080/1049482900010103 · Cited by 30 · see citing works
Learning from Computer Based Learning in Science
Hartley, J. R. (1988) · Studies in Science Education · doi:10.1080/03057268808559948 · Cited by 21 · see citing works
Learning processes of students working with a computer simulation in mechanical engineering
Njoo, M., & de Jong, A. J. M. (1989) · TU/e Research Portal · Cited by 20 · see citing works
Self-citation
The processes of biological investigations test
Germann, P. J. (1989) · Journal of Research in Science Teaching · doi:10.1002/tea.3660260706 · Cited by 19 · see citing works
Preface
de Jong, T. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80001-e · Cited by 19 · see citing works
Authoring for Intelligent Simulation Based Instruction: A Model Based Approach
de Jong, T., Tait, K., & van Joolingen, W. (1992) · Springer eBooks · doi:10.1007/978-94-011-2672-4_53 · Cited by 11 · see citing works
Tying development of intelligent tutors to research on theories of learning
Lesgold, A. M. (1990) · Dialnet (Universidad de la Rioja) · Cited by 7 · see citing works
Semantically Constrained Exploration and Heuristic Guidance
Loftin, R. B., Wang, L., Baffes, P. T., & Hua, G. (2013) · Routledge eBooks · doi:10.4324/9780203056257-14 · Cited by 4 · see citing works

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Phases of inquiry-based learning: Definitions and the inquiry cycle
Pedaste, M., Mäeots, M., Siiman, L. A., de Jong, T., van Riesen, S. A. N., Kamp, E. T., Manoli, C. C., Zacharia, Z. C., & Tsourlidaki, E. (2015) · Educational Research Review · doi:10.1016/j.edurev.2015.02.003 · Cited by 2,119 · see citing works
“In this context, discussion can be seen as a process supporting meta-cognition or regulative processes of inquiry learning as proposed by de Jong and Njoo (1992). Two types of reflection can be distinguished (Schön, 1987): (a) reflection-in-action, where the students evaluate their study process while conducting the a…”
BackgroundInfluential
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 · see citing works
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 555 · see citing works
Comparing and combining real and virtual experimentation: an effort to enhance students' conceptual understanding of electric circuits
Zacharia, Z. C. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2006.00215.x · Cited by 347 · see citing works
Interactivity in multimedia learning: An integrated model
Domagk, S., Schwartz, R. N., & Plass, J. L. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.003 · Cited by 331 · see citing works
Games and Simulations in Online Learning
Gibson, D., Aldrich, C., & Prensky, M. (2007) · IGI Global eBooks · doi:10.4018/978-1-59904-304-3 · Cited by 298 · see citing works
Blending physical and virtual manipulatives: An effort to improve students' conceptual understanding through science laboratory experimentation
Olympiou, G., & Zacharia, Z. C. (2011) · Science Education · doi:10.1002/sce.20463 · Cited by 276 · see citing works
Effects of experimenting with physical and virtual manipulatives on students' conceptual understanding in heat and temperature
Zacharia, Z. C., Olympiou, G., & Papaevripidou, M. (2008) · Journal of Research in Science Teaching · doi:10.1002/tea.20260 · Cited by 229 · see citing works
Guided discovery learning with computer-based simulation games: Effects of adaptive and non-adaptive instructional support
Leutner, D. (1993) · Learning and Instruction · doi:10.1016/0959-4752(93)90011-n · Cited by 216 · see citing works
Exploratory learning with a computer simulation for control theory: Learning processes and instructional support
Njoo, M., & de Jong, T. (1993) · Journal of Research in Science Teaching · doi:10.1002/tea.3660300803 · Cited by 214 · see citing works
Self-citation
Learning and instruction with computer simulations
de Jong, T. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80002-f · Cited by 182 · see citing works
Chapter 1: Cognition, Computers, and Synthetic Science: Building Knowledge and Meaning Through Modeling
Penner, D. E. (2000) · Review of Research in Education · doi:10.3102/0091732x025001001 · Cited by 148 · see citing works
Untitled work
(2012) · Cited by 117 · see citing works
Supporting hypothesis generation by learners exploring an interactive computer simulation
van Joolingen, W., & de Jong, T. (1991) · Instructional Science · doi:10.1007/bf00116355 · Cited by 110 · see citing works
The Guided Discovery Learning Principle in Multimedia Learning
de Jong, T., & Lazonder, A. W. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139547369.019 · Cited by 109 · see citing works
Is physicality an important aspect of learning through science experimentation among kindergarten students?
Zacharia, Z. C., Loizou, E., & Papaevripidou, M. (2012) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2012.02.004 · Cited by 103 · see citing works
Communication in collaborative discovery learning
Saab, N., van Joolingen, W., & van Hout‐Wolters, B. H. A. M. (2005) · British Journal of Educational Psychology · doi:10.1348/000709905x42905 · Cited by 99 · see citing works
The Impact of Interactive Computer Simulations on the Nature and Quality of Postgraduate Science Teachers’ Explanations in Physics
Zacharia, Z. C. (2005) · International Journal of Science Education · doi:10.1080/09500690500239664 · Cited by 95 · see citing works
Supporting reflection in technology-enhanced learning
Kori, K., Pedaste, M., Leijen, Ä., & Mäeots, M. (2013) · Educational Research Review · doi:10.1016/j.edurev.2013.11.003 · Cited by 94 · see citing works
Support of the collaborative inquiry learning process: influence of support on task and team regulation
Saab, N., van Joolingen, W., & van Hout‐Wolters, B. H. A. M. (2011) · Metacognition and Learning · doi:10.1007/s11409-011-9068-6 · Cited by 86 · see citing works
The impacts of a web-aided instructional simulation on science learning
Hsu, Y., & Thomas, R. A. (2002) · International Journal of Science Education · doi:10.1080/09500690110095258 · Cited by 80 · see citing works
Sharing and Confronting Propositions in Collaborative Inquiry Learning
Gijlers, H., & de Jong, T. (2009) · Cognition and Instruction · doi:10.1080/07370000903014352 · Cited by 79 · see citing works
Content effects in self-directed inductive learning
Wilhelm, P., & Beishuizen, J. J. (2003) · Learning and Instruction · doi:10.1016/s0959-4752(02)00013-0 · Cited by 78 · see citing works
Promoting Self-Directed Learning in Simulation-Based Discovery Learning Environments Through Intelligent Support
Veermans, K., de Jong, T., & van Joolingen, W. (2000) · Interactive Learning Environments · doi:10.1076/1049-4820(200012)8:3;1-d;ft229 · Cited by 75 · see citing works
Self-Regulated Learning in Technology Enhanced Learning Environments
Persico, D., & Steffens, K. (2017) · Springer eBooks · doi:10.1007/978-3-319-02600-8_11 · Cited by 74 · see citing works
Epistemological Issues Concerning Computer Simulations in Science and Their Implications for Science Education
Greca, I. M., Seoane, E., & Arriassecq, I. (2014) · Science & Education · doi:10.1007/s11191-013-9673-7 · Cited by 58 · see citing works
A study on the impact of real, virtual and comprehensive experimenting on students’ conceptual understanding of DC electric circuits and their skills in undergraduate electricity laboratory
Farrokhnia, M., & Esmailpour, A. (2010) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2010.03.893 · Cited by 58 · see citing works
The effects of a concept map-based support tool on simulation-based inquiry learning.
Hagemans, M. G., van der Meij, H., & de Jong, T. (2012) · Journal of Educational Psychology · doi:10.1037/a0029433 · Cited by 58 · see citing works
Analyzing the intellectual structure of research on simulation-based learning in management education, 1960–2019: A bibliometric review
Hallinger, P., & Wang, R. (2020) · The International Journal of Management Education · doi:10.1016/j.ijme.2020.100418 · Cited by 57 · see citing works
The influence of prior knowledge on the effectiveness of guided experiment design
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Intelligent support for discovery learning
Veermans, K., Hal, H. I., & Veermans, K. H. (2002) · Cited by 51 · see citing works
Enhancing scientific discovery learning through metacognitive support
Künsting, J., Kempf, J., & Wirth, J. (2013) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2013.07.001 · Cited by 49 · see citing works
How effective is instructional support for learning with computer simulations?
Eckhardt, M., Urhahne, D., Conrad, O., & Harms, U. (2012) · Instructional Science · doi:10.1007/s11251-012-9220-y · Cited by 48 · see citing works
Designing for Collaborative Discovery Learning
van Joolingen, W. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45108-0_24 · Cited by 47 · see citing works
Exploring a Domain with a Computer Simulation: Traversing Variable and Relation Space with the Help of a Hypothesis Scratchpad
van Joolingena, W., & de Jong, T. (1993) · Springer eBooks · doi:10.1007/978-3-642-78539-9_14 · Cited by 45 · see citing works
A Scaffolding Framework to Support Learning of Emergent Phenomena Using Multi-Agent-Based Simulation Environments
Basu, S., Sengupta, P., & Biswas, G. (2014) · Research in Science Education · doi:10.1007/s11165-014-9424-z · Cited by 42 · see citing works
Learning processes, learner attributes and simulations
Goodyear, P., Njoo, M., Hijne, H., & Berkum, J. J. A. V. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80005-i · Cited by 41 · see citing works
Self-citation
Integrating environmental sustainability in undergraduate mechanical engineering courses using guided discovery instruction
Ramanujan, D., Zhou, N., & Karthik Ramani, A. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.09.191 · Cited by 38 · see citing works
Transforming Students' Inquiry Skills with Computer-Based Simulations
Mäeots, M., Pedaste, M., & Sarapuu, T. (2008) · 2008 Eighth IEEE International Conference on Advanced Learning Technologies · doi:10.1109/icalt.2008.239 · Cited by 36 · see citing works
MODEL FOR GUIDING REFLECTION IN THE CONTEXT OF INQUIRY-BASED SCIENCE EDUCATION
Runnel, M. I., Pedaste, M., & Leijen, Ä. (2013) · Journal of Baltic Science Education · doi:10.33225/jbse/13.12.107 · Cited by 36 · see citing works
It takes two to tango: How scientific reasoning and self-regulation processes impact argumentation quality
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Modellus: Learning Physics with Mathematical Modelling
Teodoro, V. D. (2002) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 28 · see citing works
Bridging the Gap
Kriz, W. C. (2008) · Simulation & Gaming · doi:10.1177/1046878107310099 · Cited by 27 · see citing works
Guided Reflection to Support Quality of Reflection and Inquiry in Web-based Learning
Kori, K., Mäeots, M., & Pedaste, M. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.01.1161 · Cited by 26 · see citing works
Collaborative use of different learning styles through 3D printing
Fernandes, S. C. F., & Simões, R. (2016) · International Conference of the Portuguese Society for Engineering Education (CISPEE) · doi:10.1109/cispee.2016.7777742 · Cited by 26 · see citing works
Primetime learning: collaborative and technology-enhanced studying with genuine teacher presence
Koskinen, P., Lämsä, J., Maunuksela, J., Hämäläinen, R., & Viiri, J. (2018) · International Journal of STEM Education · doi:10.1186/s40594-018-0113-8 · Cited by 26 · see citing works
Model-facilitated learning
de Jong, T., & van Joolingen, W. (2007) · University of Twente Research Information · doi:10.4324/9780203880869.ch36 · Cited by 26 · see citing works
discovery learning with computer simulations of conceptual domains
de Jong, T., & van Joolingen, W. (2007) · Cited by 26 · see citing works
E-Simulations in the Wild
Barton, K., & Maharg, P. (2007) · IGI Global eBooks · doi:10.4018/978-1-59904-304-3.ch006 · Cited by 25 · see citing works
Design principles for support in developing students’ transformative inquiry skills in Web-based learning environments
Pedaste, M., & Sarapuu, T. (2012) · Interactive Learning Environments · doi:10.1080/10494820.2011.654346 · Cited by 25 · see citing works
The Relationship Between Demographic Variables and Scientific Creativity: Mediating and Moderating Roles of Scientific Process Skills
Dikici, A., Özdemir, G., & Clark, D. B. (2018) · Research in Science Education · doi:10.1007/s11165-018-9763-2 · Cited by 24 · see citing works
Handbook of Research on Human Performance and Instructional Technology
Song, H., & Kidd, T. T. (2010) · IGI Global eBooks · doi:10.4018/978-1-60566-782-9 · Cited by 24 · see citing works
Self-regulated Learning in the Digitally Enhanced Science Classroom: Toward an Early Warning System
Kubsch, M., Strauß, S., Grimm, A., Gombert, S., Drachsler, H., Neumann, K., & Rummel, N. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10011-9 · Cited by 23 · see citing works
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Eysink, T., van Dijk, A. V., & de Jong, T. (2014) · Educational technology research and development · doi:10.1007/s11423-020-09754-9 · Cited by 14 · see citing works
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Saab, N. (2005) · UvA-DARE (University of Amsterdam) · Cited by 23 · see citing works
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Lehtinen, A., Lehesvuori, S., & Viiri, J. (2017) · Research in Science Education · doi:10.1007/s11165-017-9666-7 · Cited by 20 · see citing works
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Olympiou, G., & Zacharia, Z. C. (2013) · Contributions from science education research · doi:10.1007/978-94-007-7281-6_26 · Cited by 20 · see citing works
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Olympiou, G. G., & Zacharia, Z. (2018) · Springer eBooks · doi:10.1007/978-3-319-95059-4_16 · Cited by 20 · see citing works
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Yüksel, T., Walsh, Y., Magana, A. J., Nova, N., Krs, V., Ngambeki, I. B., Berger, E., & Beneš, B. (2019) · Computer Applications in Engineering Education · doi:10.1002/cae.22157 · Cited by 19 · see citing works
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Lajoie, S. P. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139547369.031 · Cited by 19 · see citing works
Simulations in Science Education – Status Quo
Stinken‐Rösner, L. (2020) · Progress in Science Education (PriSE) · doi:10.25321/prise.2020.996 · Cited by 18 · see citing works
The Development of a Virtual World Problem-Based Learning Tutorial and Comparison With Interactive Text-Based Tutorials
Jivram, T., Kavia, S., Poulton, E., Hernández, A. S., Woodham, L. A., & Poulton, T. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.611813 · Cited by 18 · see citing works
Interactions between Inquiry Processes in a Web-Based Learning Environment
Maeots, M., Pedaste, M., & Sarapuu, T. (2011) · 2011 IEEE 11th International Conference on Advanced Learning Technologies · doi:10.1109/icalt.2011.103 · Cited by 17 · see citing works
Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
Veermans, K., & van Joolingen, W. (1998) · Lecture notes in computer science · doi:10.1007/3-540-68716-5_25 · Cited by 17 · see citing works
Multimedia and Digital Media in Physics Instruction
Girwidz, R., & Kohnle, A. (2021) · Challenges in physics education · doi:10.1007/978-3-030-87391-2_11 · Cited by 16 · see citing works
THE ROLE OF GENERAL INQUIRY KNOWLEDGE IN ENHANCING STUDENTS’ TRANSFORMATIVE INQUIRY PROCESSES IN A WEB-BASED LEARNING ENVIRONMENT
Mäeots, M., & Pedaste, M. (2014) · Journal of Baltic Science Education · doi:10.33225/jbse/14.13.19 · Cited by 14 · see citing works
Can Dynamic Visualizations with Variable Control Enhance the Acquisition of Intuitive Knowledge?
Wichmann, A., & Timpe, S. (2015) · Journal of Science Education and Technology · doi:10.1007/s10956-015-9554-8 · Cited by 13 · see citing works
Interfaces for instructional use of simulations
de Hoog, R., de Jong, T., & de Vries, F. (1991) · Education and Computing · doi:10.1016/0167-9287(91)80007-k · Cited by 12 · see citing works
Learning statistics with interactive pictures using R Shiny: Generally preferred, but not generally advantageous
Zhao, F., Schützler, L., Christ, O., & Gaschler, R. (2022) · Teaching Statistics · doi:10.1111/test.12324 · Cited by 11 · see citing works
Discovery of Ideas and Ideas about discovery
Hulshof, C. (2001) · University of Twente Research Information · Cited by 9 · see citing works
Inquiry-Based Learning in Psychology
Lippmann, M. (2021) · Springer international handbooks of education · doi:10.1007/978-3-030-26248-8_59-1 · Cited by 8 · see citing works
Computer simulations and animations in the teaching and learning of chemical kinetics, equilibrium, and energetics: Assessing teachers’ pedagogical skills in Tanzania secondary schools
Beichumila, F., Bahati, B., & Kafanabo, E. J. (2022) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/12498 · Cited by 8 · see citing works
Confronting ideas in collaborative scientific discovery learning
Gijlers, A. H., & de Jong, T. (2005) · HAL · Cited by 8 · see citing works
Designing effective learning programs for the development of a broad occupational competence
Brown, A. J. (1998) · Springer eBooks · doi:10.1007/978-94-011-5204-4_11 · Cited by 8 · see citing works
Transforming Electronics Engineering Classrooms: Fostering Students’ Motivation to Design Technological Solutions Through Inquiry-Based Learning
Corral-Barraza, L., Gómez-Elizalde, J. A., Morán-Soto, G., Godínez-Garcia, F. J., & Peña, O. I. G. (2024) · IEEE Access · doi:10.1109/access.2024.3413011 · Cited by 6 · see citing works
Experimentierprozesse von Lehramtsstudierenden der Biologie. Eine Videostudie
Kambach, M. (2018) · Logos Verlag Berlin eBooks · doi:10.30819/4669 · Cited by 6 · see citing works
Effects of just-in-time inquiry prompts and principle-based self-explanation guidance on learning and use of domain texts in simulation-based inquiry learning
Fukuda, M., Nesbit, J. C., & Winne, P. H. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1446941 · Cited by 5 · see citing works
Technology Enhanced Learning
Lefrère, P., & Lefrère, P. (2011) · SensePublishers eBooks · doi:10.1007/978-94-6091-654-0_8 · Cited by 5 · see citing works
Complementing the Guidance Provided by a Simulation through Teacher Questioning
Lehtinen, A., & Hähkiöniemi, M. (2016) · Jyväskylä University Digital Archive (University of Jyväskylä) · Cited by 4 · see citing works
Lerntheoretische Konzepte für Multimediaanwendungen zur Physik
Girwidz, R. (2004) · PhyDid A - Physik und Didaktik in Schule und Hochschule · Cited by 4 · see citing works
The Efficacy of Visuohaptic Simulations in Teaching Concepts of Thermal Energy, Pressure, and Random Motion
Jones, M. G., Childers, G. M., Emig, B., Chevrier, J., Stevens, V., & Tan, H. Z. (2015) · Contributions from science education research · doi:10.1007/978-3-319-20074-3_6 · Cited by 3 · see citing works
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Lippmann, M. (2021) · Springer international handbooks of education · doi:10.1007/978-3-030-26248-8_59-2 · Cited by 3 · see citing works
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Yu, S., Jantharajit, N., & Srikhao, S. (2024) · Asian Journal of Contemporary Education · doi:10.55493/5052.v8i2.5099 · Cited by 3 · see citing works
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Schulmeister, R. (2005) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-322-90687-8_3 · Cited by 3 · see citing works
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Zacatenco, U. (2013) · Cited by 3 · see citing works
Problem solving in web-based learning environment
Pedaste, M. (2006) · DSpace repository (University of Tartu) · Cited by 3 · see citing works
Inquiry-Based Learning in Psychology
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Effect of Physical and Virtual Operations Sequences on Students’ Knowledge Acquisition, Learning Motivation, Engagement, and Cognitive Load in a C-STEAM Project
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Web-based inquiry learning environment young scientist
Pedaste, M., & Sarapuu, T. (2007) · International Conference on Web-based Education · Cited by 2 · see citing works
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Facilitating understanding of image formation through the luminous ray model mediated by virtual simulation
Wang, H.-S., Chen, S., & Yen, M.-H. (2018) · American Journal of Physics · doi:10.1119/1.5052447 · Cited by 2 · see citing works
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Trends and Techniques in Computer-Based Educational Simulations: Applications to MBL Design
Collis, B. A., & Stanchev, I. (1996) · Springer eBooks · doi:10.1007/978-3-642-61189-6_3 · Cited by 2 · see citing works
Go-Lab learning spaces specification
de Jong, T., van Riesen, S., Kamp, E. T., Anjewierden, A. A., Bollen, L., Law, E. L., Rudinsky, J., Heintz, M., Mäeots, M., Pedaste, M., et al. (2013) · HAL · Cited by 2 · see citing works
Enactive modeling as a catalyst for conceptual understanding: An example with a circuit simulation
Holton, D. L. (2006) · Cited by 2 · see citing works
Impact of pandemic-driven online education on student evaluation scores: A comparative study in natural sciences
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Wichmann, A. (2010) · DuEPublico (University of Duisburg-Essen) · Cited by 1 · see citing works
Using 3D Printing as a Strategy for Including Different Student Learning Styles in the Classroom
Fernandes, S. C. F., & Simões, R. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6295-9.ch008 · Cited by 1 · see citing works
The Impact of Instructional Simulation Use on Teaching and Learning
Johnson, M. C., Graham, C. R., & Hsueh, S.-L. (2011) · Advances in higher education and professional development book series · doi:10.4018/978-1-61350-080-4.ch011 · Cited by 1 · see citing works

Authors: de Jong, T., & Njoo, M.
Affiliations: Eindhoven University of Technology (NL)
Venue: Computer-Based Learning Environments and Problem Solving
Publisher: Springer Berlin Heidelberg
Published: 1992
Pages: 411-427
DOI: 10.1007/978-3-642-77228-3_19
OpenAlex: W1534601945
Cited by: 125
References: 32
Citations by year: 2025: 1 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 7 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 9 · 2013: 7 · 2012: 6
FWCI: 3.02
Type: book chapter
Language: en
Open access: green
research.utwente.nl
Licence: other-oa
Locations: Springer eBooks (publishedVersion)
University of Twente Research Information (submittedVersion)
University of Twente Research Information (submittedVersion, other-oa)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
Keywords: computer simulation, simulation-based training, exploratory learning, computer-assisted instruction, intelligent tutoring systems, pedagogical support

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