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Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

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Cover of 'Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Reuse of Data Flow Designs in Complex and Adaptive CSCL Scripts: A Case Study
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    Chapter 2 System Orchestration Support for a Collaborative Blended Learning Flow
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    Chapter 3 Adaptive Collaboration Scripting with IMS LD
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    Chapter 4 Extending IMS-LD Capabilities: A Review, a Proposed Framework and Implementation Cases
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    Chapter 5 Prototype Tools for the Flexible Design of CSCL Activities Based on the Adaptation Pattern Perspective
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    Chapter 6 Adapting the Collaborative Strategy ‘Students Team Achievement Divisions’ in an Information Technology Work Place
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    Chapter 7 Examining the Interrelation between the Interaction Analysis and Adaptation Research Fields within Communication-Based Collaborative Learning Activities: Convergence, Divergence or Complementarity?
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    Chapter 8 Making Adaptations of CSCL Scripts by Analyzing Learners’ Online Behavior
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    Chapter 9 Behavioural Prototyping©: Making Interactive and Intelligent Systems Meaningful for the User
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    Chapter 10 The Design of a Teacher-Driven Intelligent Agent System for Supervising Lessons in LAMS
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    Chapter 11 The Text-Based Computer-Mediated Communication in Distance Education Fora: A Modelling Approach Based on Formal Languages
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    Chapter 12 Antecedents of Collaborative Learning in Massively Multiplayer Online Games
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    Chapter 13 Validating Empirically a Rating Approach for Quantifying the Quality of Collaboration
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    Chapter 14 Internet-Mediated Communities of Practice: Identifying a Typology of Critical Elements
Attention for Chapter 8: Making Adaptations of CSCL Scripts by Analyzing Learners’ Online Behavior
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Chapter title
Making Adaptations of CSCL Scripts by Analyzing Learners’ Online Behavior
Chapter number 8
Book title
Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-28586-8_8
Book ISBNs
978-3-64-228585-1, 978-3-64-228586-8
Authors

Ourania Petropoulou, Georgia Lazakidou, Petros Georgiakakis, Symeon Retalis

Editors

Thanasis Daradoumis, Stavros N. Demetriadis, Fatos Xhafa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Student > Ph. D. Student 3 15%
Professor 2 10%
Researcher 2 10%
Student > Doctoral Student 1 5%
Other 5 25%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 9 45%
Arts and Humanities 2 10%
Social Sciences 2 10%
Nursing and Health Professions 1 5%
Business, Management and Accounting 1 5%
Other 2 10%
Unknown 3 15%