Overview

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.

Full Product Details

Author:   Fatos Xhafa ,  Santi Caballé ,  Ajith Abraham ,  Thanasis Daradoumis
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Volume:   273
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642262500

ISBN 10:   3642262503
Pages:   250
Publication Date:   04 May 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Intelligent Techniques in Personalization of Learning in e-Learning Systems.- Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning.- Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor.- Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development.- Granular Mining of Student’s Learning Behavior in Learning Management System Using Rough Set Technique.- T-Learning 2.0: A Personalised Hybrid Approach Based on Ontologies and Folksonomies.- Computational Intelligence Infrastructure in Support for Complex e-Learning Systems.- SISINE: A Negotiation Training Dedicated Multi-Player Role-Playing Platform Using Artificial Intelligence Skills.- Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities.- Advanced Learning Technology Systems in Mathematics Education.

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