Intelligent Learning Environments and Knowledge Acquisition in Physics

✍ Scribed by Andrée Tiberghien, Heinz Mandl (auth.), Andrée Tiberghien, Heinz Mandl (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1992
• Tongue: English
• Leaves: 284
• Series: NATO ASI Series 86
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-VIII
Introduction....Pages 1-2
Front Matter....Pages 3-3
Introductory University Courses and Open Environment Approaches: the Computer as a Multi-Role Mediator in Teaching/Learning Physics....Pages 5-19
Practical Work Aid: Knowledge Representation in a Model Based AI System....Pages 21-34
Simultaneous Processing of Different Problem Aspects in Expert Problem Solving....Pages 35-46
Modelis : an Artificial Intelligence System Which Models Thermodynamics Textbook problems....Pages 47-61
Front Matter....Pages 63-63
Steps Towards the Formalisation of a Psycho-logic of Motion....Pages 65-89
Computerized Analysis of Students’ Ability to Process Information in the Area of Basic Electricity....Pages 91-100
Modelling the Learner: Lessons from the Study of Knowledge Reorganization in Astronomy....Pages 101-110
Cognitive Theories as a Basis for Student Modelling....Pages 111-122
Computer-Based Learning Environment and Automatic Diagnosis System for Superposition of Motion....Pages 123-135
Eliciting Hypothesis-Driven Learning in a Computer-Based Discovery Environment....Pages 137-150
Front Matter....Pages 151-151
An Analysis of Cooperation and Conflict in Students’ Collaborative Explanations for Phenomena in Mechanics....Pages 153-179
Analysis of Interfaces from the Points of View of Epistemology and Didactics....Pages 181-203
Front Matter....Pages 205-205
Computer Simulation of Historical Experiments and Understanding of Physics Concepts....Pages 207-215
The Design of a Learning Environment in Mechanics : Two Case Studies....Pages 217-228
From Research in Science Education to the Conception of an ITS....Pages 229-244
Research as a Guide for the Design of Intelligent Learning Environments....Pages 245-264
Enhancing and Evaluating Students’ Learning of Motion Concepts....Pages 265-283
Back Matter....Pages 285-290

✦ Subjects

Artificial Intelligence (incl. Robotics)