AI Injected e-Learning - The Future of Online Education (Hardcover, 1st ed. 2018)

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 investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 745
Release date:	November 2017
First published:	2018
Authors:	Matthew Montebello
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	86
Edition:	1st ed. 2018
ISBN-13:	978-3-319-67927-3
Categories:	Books > Social sciences > Education > Educational resources & technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-67927-9
Barcode:	9783319679273

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