Overview
- Presents recent research in Computational intelligence methods for data analysis and mining of eLearning activities
Part of the book series: Studies in Computational Intelligence (SCI, volume 273)
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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.
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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
DOI: https://doi.org/10.1007/978-3-642-11224-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-11223-2Published: 18 February 2010
Softcover ISBN: 978-3-642-26250-0Published: 04 May 2012
eBook ISBN: 978-3-642-11224-9Published: 10 March 2010
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: 250
Number of Illustrations: 63 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence, e-Commerce/e-business, Information Systems and Communication Service