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

The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.

Learning and Instruction with Computer Simulations: Learning Processes Involved

Open access
de Jong, Ton, Njoo, Melanie·1992·Computer-Based Learning Environments and Problem Solving
DOI 10.1007/978-3-642-77228-3_19
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-642-77228-3_19

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 32 references

Research works printed but not linked: 16

  1. Bocker, H.D., Herczeg, J., & Herczeg, M. (1989). ELAB — An electronics laboratory. In D. Bierman, J. Breuker, & J. Sandberg (Eds.), Proceedings of the Fourth International Conference on A1 & Education (pp. 15–25 ). Amsterdam: IOS.
  2. de Jong, T. ( 1990b, November). Learning and instruction with computer simulations: interface aspects. Paper presented at the NATO AETW ‘Cognitive modelling and interactive environments’, Eindhoven, The Netherlands.
  3. de Jong, T. (Ed.) (in press). Computer simulations in an instructional context. Amsterdam: Elsevier.
  4. de Jong, T., de Hoog, R., & de Vries, F. (1991). SUPER-MIDAS. A computer simulation for learning and instruction decision support systems. In H. Hijne & J. van Berkum (Eds.), Prototype/mock-up of an Integrated Simulation-based Learning Environment (DELTA project SAFE P7061; SAFE/SIM/CE-rep.). Courseware Europe BV.
  5. Hijne, H., & van Berkum, J. A. (1990, October). Authoring for intelligent simulation learning environments. Paper presented at the DELTA & Beyond conference, The Hague, The Netherlands.
  6. Hijne, H., & de Jong, T. (1989, September). SIMULATE: Simulation authoring tools environment (OCTO report 1989/2). Paper presented at the EARLI Conference, Madrid, Spain.
  7. Njoo, M., & de Jong, T. (in press). Stimulating exploratory learning with a computer simulation for control theory: The effect of hints (OCTO Report). Eindhoven University of Technology.
  8. Njoo, M., & de Jong, T. (1991, April). The effect of offering study process planning support, learning process information, and ready-made hypotheses, on learning with a computer simulation on control theory. Paper presented at the AERA conference, Chicago.
  9. Plotzner, R., Spada, H., Stumpf, M., & Opwis, K. (1990). Learning qualitative reasoning in a microworld for elastic impacts (Forschungsbericht nr. 59). Research group on cognitive systems, University of Freiburg.
  10. Reimann, P. (1989). Modelling scientific discovery learning processes with adaptive production systems. In D. Bierman, J. Breuker, & J. Sandberg (Eds.), Artificial intelligence and education; synthesis and reflection. Proceedings of the Fourth International Conference on AI and Education (pp. 218–227 ). Amsterdam: IOS.
  11. Self, J. ( 1989, May). The case for formalising student models (and Intelligent Tutoring Systems generally). Paper presented at the AI & Education conference, Amsterdam, The Netherlands.
  12. Shute, V.J. ( 1990, April). A comparison of inductive and deductive learning environments: Which is betterfor whom and why? Paper presented at the AERA conference, Boston.
  13. Swanson, J.H. ( 1990, April). The effectiveness of tutorial strategies: An experimental evaluation. Paper presented at the AERA conference, Boston.
  14. Tait, K. (Ed.) (1990). Towards the specification of support tools for authors constructing simulation-based intelligent learning environments (DELTA project SAFE (P7061), deliverable SIM/22). University of Leeds, Computer-Based Learning Unit.
  15. van Joolingen, W., & de Jong, T. (1991). A prototype scratchpad for hypothesis formation and experimental design. In H. Hijne & J. van Berkum (Ed.), Prototype/mock-up of an Integrated Simulation-based Learning Environment (DELTA project SAFE P7061; SAFE/SIM/CE-rep.). Courseware Europe BV.
  16. Veenman, M.V.J., & Elshout, J.J. (1990). De meerwaarde van een goede probleemaanpak. [The surplus value of a proper problem approach]. Tijdschrift voor Onderwijsresearch, 75, 337–347.

Cited by

Sorted by citations

See all 125

Related

Metadata

Authors
de Jong, T., & Njoo, M.
Affiliations
Eindhoven University of Technology (NL)
ORCID
de Jong, Ton
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review