Computational Intelligence for Technology Enhanced Learning

$111.00

China Internet Development Report 2018: Blue Book of World Internet Conference 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.Computational Intelligence for Technology Enhanced Learning 1st Edition is written by Fatos Xhafa; ?Santi Caball�; ?Ajith Abraham and published by Springer. ISBNs for Computational Intelligence for Technology Enhanced Learning are 9783642112249, 3642112242 and the print ISBNs are 9783642112232, 3642112234.

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China Internet Development Report 2018: Blue Book of World Internet Conference 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.Computational Intelligence for Technology Enhanced Learning 1st Edition is written by Fatos Xhafa; ?Santi Caball�; ?Ajith Abraham and published by Springer. ISBNs for Computational Intelligence for Technology Enhanced Learning are 9783642112249, 3642112242 and the print ISBNs are 9783642112232, 3642112234.