Intelligent Learning Environments and Knowledge Acquisition in Physics

Abstract

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.