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Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

  • Book
  • © 2012

Overview

Editors:
  1. Thanasis Daradoumis

    1. Depto. d’Informatica, Multimedia i, Telecomunicacio, Universitat Oberta de Catalunya, Barcelona, Spain

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  2. Stavros N. Demetriadis

    1. , Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece

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  3. Fatos Xhafa

    1. , Department of Languages and, Polytechnic University of Catalonia, Barcelona, Spain

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  • Recent research in Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
  • Carefully edited book
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 408)

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Table of contents (14 chapters)

  1. Front Matter

    Pages 1-14
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  2. Design of Adaptive Learning Systems

    1. Front Matter

      Pages 1-1
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    2. Reuse of Data Flow Designs in Complex and Adaptive CSCL Scripts: A Case Study

      • Osmel Bordiés, Yannis Dimitriadis, Carlos Alario-Hoyos, Adolfo Ruiz-Calleja, Andrés Subert
      Pages 3-27

    3. System Orchestration Support for a Collaborative Blended Learning Flow

      • Luis de-la-Fuente-Valentín, Mar Pérez-Sanagustín, Patrícia Santos, Davinia Hernández-Leo, Abelardo Pardo, Carlos Delgado Kloos et al.
      Pages 29-46

    4. Adaptive Collaboration Scripting with IMS LD

      • Florian König, Alexandros Paramythis
      Pages 47-84

    5. Extending IMS-LD Capabilities: A Review, a Proposed Framework and Implementation Cases

      • Ioannis Magnisalis, Stavros Demetriadis
      Pages 85-108

    6. Prototype Tools for the Flexible Design of CSCL Activities Based on the Adaptation Pattern Perspective

      • Anastasios Karakostas, Zaharoula Papamitsiou, Stavros Demetriadis
      Pages 109-130

    7. Adapting the Collaborative Strategy ‘Students Team Achievement Divisions’ in an Information Technology Work Place

      • Maria Kordaki, Thanasis Daradoumis, Dimitrios Fragidakis, Maria Grigoriadou
      Pages 131-153

  3. Interactive and Intelligent Learning Systems

    1. Front Matter

      Pages 155-155
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    2. Examining the Interrelation between the Interaction Analysis and Adaptation Research Fields within Communication-Based Collaborative Learning Activities: Convergence, Divergence or Complementarity?

      • Tharrenos Bratitsis
      Pages 157-178

    3. Making Adaptations of CSCL Scripts by Analyzing Learners’ Online Behavior

      • Ourania Petropoulou, Georgia Lazakidou, Petros Georgiakakis, Symeon Retalis
      Pages 179-194

    4. Behavioural Prototyping©: Making Interactive and Intelligent Systems Meaningful for the User

      • Stephen Benton, Boris Altemeyer, Bryan Manning
      Pages 195-210

    5. The Design of a Teacher-Driven Intelligent Agent System for Supervising Lessons in LAMS

      • Themistoklis Chronopoulos, Ioannis Hatzilygeroudis
      Pages 211-238

    6. The Text-Based Computer-Mediated Communication in Distance Education Fora: A Modelling Approach Based on Formal Languages

      • Kiriakos Patriarcheas, Spyridon Papaloukas, Michalis Xenos
      Pages 239-266

  4. Collaborative Learning Systems

    1. Front Matter

      Pages 267-267
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    2. Antecedents of Collaborative Learning in Massively Multiplayer Online Games

      • Iro Voulgari, Vassilis Komis
      Pages 269-293

    3. Validating Empirically a Rating Approach for Quantifying the Quality of Collaboration

      • Georgios Kahrimanis, Irene-Angelica Chounta, Nikolaos Avouris
      Pages 295-310

    4. Internet-Mediated Communities of Practice: Identifying a Typology of Critical Elements

      • Apostolos Kostas, Alivisos Sofos
      Pages 311-334

  5. Back Matter

    Pages 0--1
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Keywords

About this book

Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.

Editors and Affiliations

  • Depto. d’Informatica, Multimedia i, Telecomunicacio, Universitat Oberta de Catalunya, Barcelona, Spain

    Thanasis Daradoumis

  • , Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece

    Stavros N. Demetriadis

  • , Department of Languages and, Polytechnic University of Catalonia, Barcelona, Spain

    Fatos Xhafa

Bibliographic Information

  • Book Title: Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

  • Editors: Thanasis Daradoumis, Stavros N. Demetriadis, Fatos Xhafa

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-28586-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-28585-1Published: 14 March 2012

  • Softcover ISBN: 978-3-642-44768-6Published: 16 April 2014

  • eBook ISBN: 978-3-642-28586-8Published: 09 March 2012

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 336

  • Topics: Computational Intelligence, Artificial Intelligence

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