CSS - Knowledge Space Theory

Doignon, J.-P., & Falmagne, J.-C. (1999)
Knowledge Spaces. Berlin: Springer-Verlag.

- Overview and Mathematical Glossary
- Knowledge Structure and Spaces
- Well-Graded Knowledge Structures
- Surmise Systems
- Skill Maps, Labels and Filters
- Entailments and the Maximal Mesh
- Galois Connections
- Probabilistic Knowledge Structures
- Stochastic Learning Paths
- Descriptive and Assessment Languages
- Uncovering the State of an Individual: A Continuous Markov Procedure
- Uncovering the State of an Individual: A Markov Chain Procedure
- Building the Knowledge Structure in Practise

[The book at Amazon.com]

Albert, D., & Lukas, J. (Eds.) (1999). Knowledge Spaces: Theories, Empirical Research, Applications. Mahwah, NJ: Lawrence Erlbaum Associates.

Introduction
-	Knowledge Structures: What they are and how they can be used in Cognitive Psychology, Test Theory, and the Design of Learning Environments (Joseph Lukas & Dietrich Albert)

Theoretical Developments and Empirical Investigations
-	Component-Based Knowledge Spaces in Problem Solving and Inductive Reasoning (Dietrich Albert & Theo Held)
-	Component-Based Construction of Surmise Relations for Chess Problems (Martin Schrepp, Theo Held, & Dietrich Albert)
-	An Integrated Approach for Constructing, Coding, and Structuring a Body of Word Problems (Theo Held)
	Modeling Knowledge as Competence and Performance (Klaus Korossy)
-	An Empirical Test of a Process Model for Letter Series Completion Problems (Martin Schrepp)

Applications
-	Organizing and Controlling Learning Processes within Competence-Performance Structures (Klaus Korossy)
-	Structure and Design of an INtelligent Tutorial System based on Skill Assessment (Dietrich Albert & Martin Schrepp)
-	Application of Doignon and Falmagne's Theory of Knowledge Structures to the Assessment of Motor Learning Processes (Susanne Narciss)

[The book at Amazon.com]

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