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Learning Analytics in R with SNA, LSA, and MPIA

Overview of attention for book
Cover of 'Learning Analytics in R with SNA, LSA, and MPIA'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Learning Theory and Algorithmic Quality Characteristics
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    Chapter 3 Representing and Analysing Purposiveness with SNA
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    Chapter 4 Representing and Analysing Meaning with LSA
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    Chapter 5 Meaningful, Purposive Interaction Analysis
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    Chapter 6 Visual Analytics Using Vector Maps as Projection Surfaces
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    Chapter 7 Calibrating for Specific Domains
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    Chapter 8 Implementation: The MPIA Package
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    Chapter 9 MPIA in Action: Example Learning Analytics
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    Chapter 10 Evaluation
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    Chapter 11 Conclusion and Outlook
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    Chapter 12 Erratum to: Learning Analytics in R with SNA, LSA, and MPIA
Attention for Chapter 6: Visual Analytics Using Vector Maps as Projection Surfaces
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