Computational Intelligence for Technology Enhanced Learning

Released on by Fatos Xhafa
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  • Computational Intelligence for Technology Enhanced Learning Book Detail

  • Author : Fatos Xhafa
  • Release Date : 2010-02-18
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 259
  • ISBN 13 : 3642112234
  • File Size : 58,58 MB
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Computational Intelligence for Technology Enhanced Learning by Fatos Xhafa PDF Summary

Book Description: 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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AI Injected e-Learning

AI Injected e-Learning

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This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It invest