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Learning Spaces : Interdisciplinary Applied Mathematics

Overview of attention for book
Cover of 'Learning Spaces : Interdisciplinary Applied Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview and Basic Mathematical Concepts
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    Chapter 2 Knowledge Structures and Learning Spaces
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    Chapter 3 Knowledge Spaces
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    Chapter 4 Well-Graded Knowledge Structures
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    Chapter 5 Surmise Systems
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    Chapter 6 Skill Maps, Labels and Filters
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    Chapter 7 Entailments and the Maximal Mesh
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    Chapter 8 Galois Connections*
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    Chapter 9 Descriptive and Assessment Languages*
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    Chapter 10 Learning Spaces and Media
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    Chapter 11 Probabilistic Knowledge Structures
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    Chapter 12 Stochastic Learning Paths*
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    Chapter 13 Uncovering the Latent State: A Continuous Markov Procedure
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    Chapter 14 A Markov Chain Procedure
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    Chapter 15 Building a Knowledge Space
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    Chapter 16 Building a Learning space
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    Chapter 17 Analyzing the Validity of an Assessment
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    Chapter 18 Open Problems
Attention for Chapter 5: Surmise Systems
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