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Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

  • Thanasis Daradoumis
  • Stavros N. Demetriadis
  • Fatos Xhafa

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

Table of contents

  1. Front Matter
    Pages 1-14
  2. Design of Adaptive Learning Systems

    1. Front Matter
      Pages 1-1
    2. Osmel Bordiés, Yannis Dimitriadis, Carlos Alario-Hoyos, Adolfo Ruiz-Calleja, Andrés Subert
      Pages 3-27
    3. Luis de-la-Fuente-Valentín, Mar Pérez-Sanagustín, Patrícia Santos, Davinia Hernández-Leo, Abelardo Pardo, Carlos Delgado Kloos et al.
      Pages 29-46
    4. Florian König, Alexandros Paramythis
      Pages 47-84
    5. Anastasios Karakostas, Zaharoula Papamitsiou, Stavros Demetriadis
      Pages 109-130
    6. Maria Kordaki, Thanasis Daradoumis, Dimitrios Fragidakis, Maria Grigoriadou
      Pages 131-153
  3. Interactive and Intelligent Learning Systems

  4. Collaborative Learning Systems

    1. Front Matter
      Pages 267-267
    2. Georgios Kahrimanis, Irene-Angelica Chounta, Nikolaos Avouris
      Pages 295-310
  5. Back Matter
    Pages 0--1

About this book

Introduction

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.

Keywords

Collaborative Learning Computational Intelligence Intelligent Adaptation Techniques Intelligent Personalization Techniques

Editors and affiliations

  • Thanasis Daradoumis
    • 1
  • Stavros N. Demetriadis
    • 2
  • Fatos Xhafa
    • 3
  1. 1.Depto. d’Informatica, Multimedia i, TelecomunicacioUniversitat Oberta de CatalunyaBarcelonaSpain
  2. 2., Aristotle University of ThessalonikiDepartment of InformaticsThessalonikiGreece
  3. 3., Department of Languages andPolytechnic University of CataloniaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-28586-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-28585-1
  • Online ISBN 978-3-642-28586-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site