Reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization
Investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics
Aimed 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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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 9cdc2f3c1e3a43e15b486a616cdae185
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319885131
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Vendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 448761570
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 115379604
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26376479055
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319885131
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319885131
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 369566352
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18376479045
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. reprint edition. 108 pages. 9.25x6.10x0.25 inches. In Stock. N° de réf. du vendeur 3319885138
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