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  • © 2012

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

  • 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
  2. Design of Adaptive Learning Systems

    1. Front Matter

      Pages 1-1
    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. Prototype Tools for the Flexible Design of CSCL Activities Based on the Adaptation Pattern Perspective

      • Anastasios Karakostas, Zaharoula Papamitsiou, Stavros Demetriadis
      Pages 109-130
    6. 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
    2. Making Adaptations of CSCL Scripts by Analyzing Learners’ Online Behavior

      • Ourania Petropoulou, Georgia Lazakidou, Petros Georgiakakis, Symeon Retalis
      Pages 179-194
    3. Behavioural Prototyping©: Making Interactive and Intelligent Systems Meaningful for the User

      • Stephen Benton, Boris Altemeyer, Bryan Manning
      Pages 195-210
    4. The Design of a Teacher-Driven Intelligent Agent System for Supervising Lessons in LAMS

      • Themistoklis Chronopoulos, Ioannis Hatzilygeroudis
      Pages 211-238
  4. Collaborative Learning Systems

    1. Front Matter

      Pages 267-267
    2. Validating Empirically a Rating Approach for Quantifying the Quality of Collaboration

      • Georgios Kahrimanis, Irene-Angelica Chounta, Nikolaos Avouris
      Pages 295-310
  5. Back Matter

    Pages 0--1

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

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access