Lingua: Inglese
Editore: Information Science Reference, 2019
ISBN 10: 1522590315 ISBN 13: 9781522590316
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Lingua: Inglese
Editore: Information Science Reference, 2019
ISBN 10: 1522590315 ISBN 13: 9781522590316
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Lingua: Inglese
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ISBN 10: 1522590315 ISBN 13: 9781522590316
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnVarious technologies and applications such as cognitive computing, artificial intelligence, and learning analytics have received increased attention in recent years. The growing demand behind their adoption and exploitation in dif.
Lingua: Inglese
Editore: Information Science Reference, 2019
ISBN 10: 1522590315 ISBN 13: 9781522590316
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Aggiungi al carrelloBuch. Condizione: Neu. Cognitive Computing in Technology-Enhanced Learning | Miltiadis D. Lytras (u. a.) | Buch | Gebunden | Englisch | 2019 | Information Science Reference | EAN 9781522590316 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2019
ISBN 10: 1522590315 ISBN 13: 9781522590316
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Various technologies and applications such as cognitive computing, artificial intelligence, and learning analytics have received increased attention in recent years. The growing demand behind their adoption and exploitation in different application contexts has captured the attention of learning technology specialists, computer engineers, and business researchers who are attempting to decipher the phenomenon of personalized e-learning, its relation to already conducted research, and its implications for new research opportunities that effect innovations in teaching. Cognitive Computing in Technology-Enhanced Learning is a critical resource publication that aims to demonstrate state-of-the-art approaches of advanced data mining systems in e-learning, such as MOOCs and other innovative technologies, to improve learning analytics, as well as to show how new and advanced user interaction designs, educational models, and adoptive strategies can expand sustainability in applied learning technologies. Highlighting a range of topics such as augmented reality, ethics, and online learning environments, this book is ideal for educators, instructional designers, higher education faculty, school administrators, academicians, researchers, and students.