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AI Injected e-Learning: The Future of Online Education (Studies in Computational Intelligence, 745) - Softcover
Book 255 of 538: Studies in Computational Intelligence
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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AI Injected e-Learning (eng)
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AI Injected e-Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch. Seller Inventory # 9783319885131
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AI Injected e-Learning
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 thro. Seller Inventory # 448761570
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AI Injected e-Learning: The Future of Online Education: 745 (Studies in Computational Intelligence)
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AI Injected e-Learning | The Future of Online Education
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Taschenbuch. Condition: Neu. AI Injected e-Learning | The Future of Online Education | Matthew Montebello | Taschenbuch | xix | Englisch | 2018 | Springer | EAN 9783319885131 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 115379604
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AI Injected e-Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 learningSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch. Seller Inventory # 9783319885131
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AI Injected e-Learning : The Future of Online Education
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319885131
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AI Injected e-Learning: The Future of Online Education (Studies in Computational Intelligence)
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