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Learning Issues for Intelligent Tutoring Systems

  • Book
  • © 1988

Overview

Editors:
  1. Heinz Mandl

    1. Deutsches Institut für Fernstudien, Universität Tübingen, Tübingen, Federal Republic of Germany

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  2. Alan Lesgold

    1. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Cognitive Science (COGNITIVE SCIEN)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xix
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  2. The Computer as a Tool for Learning Through Reflection

    • Allan Collins, John Seely Brown
    Pages 1-18

  3. Toward a Theory of Impasse-Driven Learning

    • Kurt VanLehn
    Pages 19-41

  4. Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis

    • Stellan Ohlsson, Pat Langley
    Pages 42-62

  5. Modeling the Knowledge Base of Mathematics Learners: Situation-Specific and Situation-Nonspecific Knowledge

    • Ipke Wachsmuth
    Pages 63-79

  6. The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions

    • William J. Clancey
    Pages 80-113

  7. Toward a Theory of Curriculum for Use in Designing Intelligent Instructional Systems

    • Alan Lesgold
    Pages 114-137

  8. Enhancing Incremental Learning Processes With Knowledge-Based Systems

    • Gerhard Fischer
    Pages 138-163

  9. Mental Models and Metaphors: Implications for the Design of Adaptive User-System Interfaces

    • Norbert A. Streitz
    Pages 164-186

  10. Improvement of the Acquisition of Knowledge by Informing Feedback

    • Peter Michael Fischer, Heinz Mandl
    Pages 187-241

  11. Socializing the Intelligent Tutor: Bringing Empathy to Computer Tutors

    • Mark R. Lepper, Ruth W. Chabay
    Pages 242-257

  12. Cognitive Economy in Physics Reasoning: Implications for Designing Instructional Materials

    • Eileen Scanlon, Tim O’Shea
    Pages 258-277

  13. Experimental Data for the Design of a Microworld-Based System for Algebra

    • E. Cauzinille-Marmèche, J. Mathieu
    Pages 278-286

  14. Computer-Aided Model Building

    • Joachim Wedekind
    Pages 287-294

  15. Back Matter

    Pages 295-307
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Keywords

About this book

Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. Learning Issues for Intelligent Tutoring Systems is an important and useful introduction to this rapidly changing field.

Editors and Affiliations

  • Deutsches Institut für Fernstudien, Universität Tübingen, Tübingen, Federal Republic of Germany

    Heinz Mandl

  • Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA

    Alan Lesgold

Bibliographic Information

  • Book Title: Learning Issues for Intelligent Tutoring Systems

  • Editors: Heinz Mandl, Alan Lesgold

  • Series Title: Cognitive Science

  • DOI: https://doi.org/10.1007/978-1-4684-6350-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1988

  • Softcover ISBN: 978-0-387-96616-8Published: 13 June 1988

  • eBook ISBN: 978-1-4684-6350-7Published: 06 December 2012

  • Series ISSN: 1431-1887

  • Edition Number: 1

  • Number of Pages: XIX, 307

  • Topics: Artificial Intelligence

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