Advertisement

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding

  • Thanasis Daradoumis
  • Santi Caballé
  • Angel A. Juan
  • Fatos Xhafa

Part of the Studies in Computational Intelligence book series (SCI, volume 350)

Table of contents

  1. Front Matter
  2. Scott E. Grasman, Vicki Callaway, Can Saygin, Wooseung Jang, Henrique Rozenfeld
    Pages 47-67
  3. Georgios Kahrimanis, Nikolaos Avouris, Vassilis Komis
    Pages 93-114
  4. M. Pérez-Sanagustín, J. Burgos, D. Hernández-Leo, J. Blat
    Pages 115-133
  5. G. R. Mangione, E. Mazzoni, F. Orciuoli, A. Pierri
    Pages 135-166
  6. N. Padilla Zea, N. Medina Medina, F. L. Gutiérrez Vela, P. Paderewski
    Pages 167-191
  7. Michael D. Kickmeier-Rust, Christina M. Steiner, Dietrich Albert
    Pages 221-238
  8. Daniel Lichtnow, Isabela Gasparini, Amel Bouzeghoub, José Palazzo M. de Oliveira, Marcelo S. Pimenta
    Pages 257-278
  9. Back Matter

About this book

Introduction

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding is a major research theme in CSCL and CSCW research community. This book presents up-to-date research approaches for developing technology-enhanced systems and tools to support functional online collaborative learning and work settings. It comprises a variety of research topics that span from the study of frameworks and infrastructures that foster collaborative learning and work through the application of different methods (distributed e-learning repositories, content creation and customization, social networks, collaborative ontologies building, and educational games) to the use of personalization and adaptation techniques to support the development of more powerful e-collaboration settings, including methodologies and tools for analyzing students' interactions with the aim to increase students' collaborative behaviors, performance and group organization. Researchers will find in this book the latest trends in these research topics, which gives them the opportunity to deepen further on the above issues and to extend their knowledge to other areas. Academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. Developers from CSCL community can be inspired and put in practice the proposed models and evaluate them for the specific purposes of their own work and context.

Keywords

Collaborative Learning Computational Intelligence Intelligent Adaptation Techniques Intelligent Personalization Techniques

Editors and affiliations

  • Thanasis Daradoumis
    • 1
  • Santi Caballé
    • 1
  • Angel A. Juan
    • 1
  • Fatos Xhafa
    • 2
  1. 1.Open University of CataloniaSpain
  2. 2.Technical University of CataloniaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19814-4
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-19813-7
  • Online ISBN 978-3-642-19814-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering