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Intelligent Learning Environments and Knowledge Acquisition in Physics

  • Andrée Tiberghien
  • Heinz Mandl

Part of the NATO ASI Series book series (volume 86)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Introduction

    1. Andrée Tiberghien, Heinz Mandl
      Pages 1-2
  3. Teaching Situations and Physics Knowledge

  4. Different Approaches to Student Modelling

    1. Front Matter
      Pages 63-63
    2. Karl Grob, Victor L. Pollak, Christoph von Rhöneck
      Pages 91-100
    3. Heinz Mandl, Aemilian Hron
      Pages 111-122
    4. Aemilian Hron, Jürgen Bollwahn, Heinz Mandl, Uwe Oestermeier, Sigmar-Olaf Tergan
      Pages 123-135
  5. The Interaction Learner/Learning Environment

  6. Design of Learning Environments

  7. Back Matter
    Pages 285-290

About these proceedings

Introduction

The NATO workshop ''Knowledge acquisition in the domain of physics and intelligent learning environments" was held in Lyon, France, July 8-12, 1990. A total of 31 researchers from Europe (France, Germany, Greece, Italy, Portugal, and the U. K. ), the U. S. A. , and Japan worked together. This proceedings volume contains most of the contributions to the workshop. The papers show clearly the main directions of research in intelligent learning environments. They display a variety of points of view depending on the researcher's own background even when a single domain of teaching, namely physics, is considered. We acknowledge the assistance of Michael Baker, who was responsible for reviewing the English of the contributions. February 1992 Andree TIberghien Heinz Mandl Table of Contents Introduction 1 1. Teaching Situations and Physics Knowledge Introductory University Courses and Open Environment Approaches: The Computer as a Multi-role Mediator in Teaching/Learning Physics 5 E. Balzano, P. Guidoni, M. Moretti, E. Sassi, G. Sgueglia Practical Work Aid: Knowledge Representation in a Model Based AI System 21 J. Courtois Simultaneous Processing of Different Problem Aspects in Expert Problem Solving: An Analysis in the Domain of Physics on the Basis of Formal Theories of Commonsense Knowledge 35 A. Hron Modelis: An Artificial Intelligence System Which Models Thermodynamics Textbook Problems 47 G. Tisseau 2. Different Approaches to Student Modelling Steps Towards the Formalisation of a Psycho-logic of Motion 65 J. Bliss, J.

Keywords

Education Kognitive Psychologie Physics Physik/Unterrichtslehre artificial intelligence artificial intelligence system cognitive psychology computerunterstütztes Lernen epistemology intelligence knowledge representation learning modeling problem solving simulation

Editors and affiliations

  • Andrée Tiberghien
    • 1
  • Heinz Mandl
    • 2
  1. 1.C.N.R.S. - IRPEACSEcully CedexFrance
  2. 2.Institut für Empirische Pädagogik und Pädagogische PsychologieUniversität MünchenMünchen 40Germany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-84784-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-84786-8
  • Online ISBN 978-3-642-84784-4
  • Buy this book on publisher's site