Table of contents for Knowledge spaces : theories, empirical research, and applications / edited by Dietrich Albert, Josef Lukas.


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I: INTRODUCTION
1. Knowledge Structures: What They Are and How They Can be Used
in Cognitive Psychology, Test Theory, and the Design of Learning
Environments.
Josef Lukas and Dietrich Albert
II: THEORETICAL DEVELOPMENTS AND EMPIRICAL INVESTI-
GATIONS
2. Component-based Knowledge Spaces in Problem Solving and In-
ductive Reasoning
Dietrich Albert and Theo Held
3. Component-based Construction of Surmise Relations for Chess
Problems
Martin Schrepp, Theo Held, and Dietrich Albert
4. An Integrated Approach for Constructing, Coding, and Structuring
a Body of Word Problems
Theo Held
5. Modeling Knowledge as Competence and Performance
Klaus Korossy
6. An Empirical Test of a Process Model for Letter Series Completion
Problems
Martin Schrepp



III: APPLICATIONS
7. Organizing  and   Controlling  Learning  Processes  Within
Competence-Performance Structures
Klaus Korossy
8. Structure and Design of an Intelligent Tutorial System Based on
Skill Assignments
Dietrich Albert and Martin Schrepp
9. Application of Doignon and Falmagne's Theory of Knowledge
Structures to the Assessment of Motor Learning Processes
Susanne Narciss








Library of Congress subject headings for this publication: Natural language processing (Computer science) Computational linguistics, Artificial intelligence, Knowledge, Theory of