AI Injected e-Learning: The Future of Online Education: 745 (Studies in Computational Intelligence, 745) - Tapa dura

Libro 255 de 538: Studies in Computational Intelligence

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9783319679273: AI Injected e-Learning: The Future of Online Education: 745 (Studies in Computational Intelligence, 745)
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ISBN 10: 3319679279 ISBN 13: 9783319679273
Editorial: Springer, 2017

Sinopsis

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.

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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3319679279
ISBN 13 
9783319679273
Encuadernación
Tapa dura
Número de páginas
108
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

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Heidelberg
Baden-Württemberg
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Alemania

Otras ediciones populares con el mismo título

9783319885131: AI Injected e-Learning: The Future of Online Education: 745 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3319885138 ISBN 13:  9783319885131
Editorial: Springer, 2018
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