AI Injected e-Learning

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

The Future of Online Education, Studies in Computational Intelligence 745

ISBN: 3319679279
ISBN 13: 9783319679273
Autor: Montebello, Matthew
Verlag: Springer Verlag GmbH
Umfang: xix, 86 S., 6 s/w Illustr., 86 p. 6 illus.
Erscheinungsdatum: 06.11.2017
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 2744556 Kategorie:

Beschreibung

Reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customizationInvestigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analyticsAimed at researchers and academics working in computational intelligence, user profiling, machine learning, as well as e-Learning and technology enhanced learning

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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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