Simulation-Based Experiential Learning

1. Front Matter

   Pages I-XIV

   PDF

2. Building Domain Models to Support Instruction

   • K. Horne, J. Kwaan, D. Scott, W. Scott

   Pages 1-15

3. Knowledge Structures for a Computer-Based Training Aid for Troubleshooting a Complex System

   • Vijay Vasandani, T. Govindaraj

   Pages 17-32

4. Authoring Interactive Graphical Models for Instruction

   • Allen Munro

   Pages 33-45

5. Visualization in Educational Computer Modeling

   • Wallace Feurzeig

   Pages 47-60

6. Diagnosis of Intentions and Interactive Support of Planning in a Functional, Visual Programming Language

   • Claus Möbus, Heinz-Jürgen Thole, Olaf Schröder

   Pages 61-76

7. The Flexible Use of Multiple Mental Domain Representations

   • Klaus Opwis

   Pages 77-89

8. Computer-Based Support for Analogical Problem Solving and Learning

   • Peter Reimann, Sieghard Beller

   Pages 91-104

9. Modeling Actors in a Resource Dilemma: A Computerized Social Learning Environment

   • Andreas M. Ernst, Hans Spada

   Pages 105-120

10. Basic Research on the Pedagogy of Automated Instruction

    • J. Wesley Regian, Valerie J. Shute

    Pages 121-132

11. Modeling Practice, Performance, and Learning

    • Valerie J. Shute, J. Wesley Regian, Lisa A. Gawlick-Grendell

    Pages 133-147

12. Teaching and Learning Diagnostic Skills in a Simulation Environment

    • Douglas M. Towne

    Pages 149-164

13. Environment Design and Teaching Intervention

    • Mark T. Elsom-Cook

    Pages 165-176

14. A Model to Design Computer Exploratory Software for Science and Mathematics

    • Vitor Duarte Teodoro

    Pages 177-189

15. Exploring a Domain with a Computer Simulation: Traversing Variable and Relation Space with the Help of a Hypothesis Scratchpad

    • Wouter van Joolingena, Ton de Jong

    Pages 191-206

16. Supporting Exploratory Learning by Offering Structured Overviews of Hypotheses

    • Melanie Njoo, Ton de Jong

    Pages 207-223

17. Exploration Strategies in an Economics Simulation Game

    • Hans Gruber, Alexander Renkl, Heinz Mandl, Wilfried Reiter

    Pages 225-233

18. Determinants of Learning in Simulation Environments across Domains

    • Marcel V. J. Veenman, Jan J. Elshout, John C. J. Hoeks

    Pages 235-248

19. SEPIA: An Intelligent Training System For French Nuclear Power Plant Operators

    • Vincent Mercier, Daniel Delmas, Pascal Lonca, Jean-Jacques Moreau

    Pages 249-260

20. Learning Impacts of the Alpin Expert Systems on its Users

    • Eric Brangier, Kent Hudson, Hélène Parmentier

    Pages 261-272

In October of 1992 an assembly of researchers in simulation and computer models for instruction convened in Bonas, France, to learn from one another in a non-automated environment. The event was the Advanced Research Workshop entitled The Use of Computer Models for Explication, Analysis, and Experiential Learning. Sponsored by the Scientific Affairs Division of NATO, this workshop brought together 29 leading experts in the field loosely described as instruction and learning in simulation environments. The three-day workshop was organized in a manner to maximize exchange of knowledge, of beliefs, and of issues. The participants came from six countries with experiences to share, with opinions to voice, and with questions to explore. Starting some weeks prior to the workshop, the exchange included presentation of the scientific papers, discussions immediately following each presentation, and informal discussions outside the scheduled meeting times. Naturally, the character and content of the workshop was determined by the backgrounds and interests of the participants. One objective in drawing together these particular specialists was to achieve a congress with coherent diversity, i.e., we sought individuals who could view an emerging area from different perspectives yet had produced work of interest to many. Major topic areas included theories of instruction being developed or tested, use of multiple domain models to enhance understanding, experiential learning environments, modelling diagnostic environments, tools for authoring complex models, and case studies from industry.

• Planning
• Präsentation
• computer simulation
• expert system
• intelligent tutoring systems
• knowledge
• knowledge representation
• learning
• mathematics
• modeling
• problem solving
• programming
• programming language
• simulation
• software

• Behavioral Technology Laboratories, University of Southern California, Redondo Beach, USA

  Douglas M. Towne

• Department of Education, University of Twente, Enschede, The Netherlands

  Ton Jong

• Department of Psychology, University of Freiburg, Freiburg, Germany

  Hans Spada

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