Intelligent learning environments and knowledge acquisition in physics
著者
書誌事項
Intelligent learning environments and knowledge acquisition in physics
（NATO ASI series, Series F . Computer and system sciences ; vol. 86）
Springer-Verlag, c1992
- : gw
- : us
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注記
"Proceedings of the NATO Advanced Research Workshop on Knowledge Acquisition in the Domain of Physics and Intelligent Learning Environments, held in Lyon, France, July 8-12, 1990"--T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
1. Teaching Situations and Physics Knowledge.- Introductory University Courses and Open Environment Approaches: The Computer as a Multi-role Mediator in Teaching/Learning Physics.- Practical Work Aid: Knowledge Representation in a Model Based AI System.- 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.- Modelis: An Artificial Intelligence System Which Models Thermodynamics Textbook Problems.- 2. Different Approaches to Student Modelling.- Steps Towards the Formalisation of a Psycho-logic of Motion.- Computerized Analysis of Students' Ability to Process Information in the Area of Basic Electricity.- Modelling the Learner: Lessons from the Study of Knowledge Reorganization in Astronomy.- Cognitive Theories as a Basis for Student Modelling.- Computer-Based Learning Environment and Automatic Diagnostic System for Superimposition of Motion.- Eliciting Hypothesis-Driven Learning in a Computer-Based Discovery Environment.- 3. The Interaction Learner/Learning Environment.- An Analysis of Cooperation and Conflict in Students' Collaborative Explanations for Phenomena in Mechanics.- Analysis of Interfaces from the Point of View of Epistemology and Didactics.- 4. Design of Learning Environments.- Computer Simulation of Historical Experiments and Understanding of Physics Concepts.- The Design of a Learning Environment in Mechanics: Two Case Studies.- From Research in Science Education to the Conception of an ITS.- Research as a Guide for the Design of Intelligent Learning Environments.- Enhancing and Evaluating Students' Learning of Motion Concepts.- List of Authors.
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