Studies in Computational Intelligence

Computational Intelligence for Technology Enhanced Learning

Editors: Xhafa, F., Caballé, S., Abraham, A., Daradoumis, T., Juan Perez, A.A. (Eds.)

  • Presents recent research in Computational intelligence methods for data analysis and mining of eLearning activities
  • Covers clustering and classification for personalization of learning, intelligent context-aware techniques, and more
  • Shows how Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies
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eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-11224-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-11223-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-26250-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments.

The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others.

Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Table of contents (10 chapters)

  • Intelligent Techniques in Personalization of Learning in e-Learning Systems

    Markowska-Kaczmar, Urszula (et al.)

    Pages 1-23

  • Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning

    Moore, Philip (et al.)

    Pages 25-58

  • Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor

    Banerjee, Soumya (et al.)

    Pages 59-77

  • Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development

    Patil, Arun S. (et al.)

    Pages 79-97

  • Granular Mining of Student’s Learning Behavior in Learning Management System Using Rough Set Technique

    Ahmad, Nor Bahiah Hj (et al.)

    Pages 99-124

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-11224-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-11223-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-26250-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Intelligence for Technology Enhanced Learning
Editors
  • Fatos Xhafa
  • Santi Caballé
  • Ajith Abraham
  • Thanasis Daradoumis
  • Angel Alejandro Juan Perez
Series Title
Studies in Computational Intelligence
Series Volume
273
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-11224-9
DOI
10.1007/978-3-642-11224-9
Hardcover ISBN
978-3-642-11223-2
Softcover ISBN
978-3-642-26250-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
250
Number of Illustrations and Tables
63 b/w illustrations
Topics