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Adaptive Micro Learning Using by Sun Geng (11 results)
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Adaptive Micro Learning : Using Fragmented Time to Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Company, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Condition: New.
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Adaptive Micro Learning - Using Fragmented Time To Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Adaptive Micro Learning : Using Fragmented Time to Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Company, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Condition: As New. Unread book in perfect condition.
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Adaptive Micro Learning - Using Fragmented Time To Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 101.97
US$ 5.54 shipping
Ships from United Kingdom to U.S.A.Quantity: 15 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Adaptive Micro Learning: Using Fragmented Time to Learn (Intelligent Information Systems)
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Company, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 104.10
US$ 15.96 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Adaptive Micro Learning : Using Fragmented Time to Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Company, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 99.94
US$ 19.99 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Adaptive Micro Learning : Using Fragmented Time to Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Publishing Company, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 101.52
US$ 19.99 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Adaptive Micro Learning: Using Fragmented Time to Learn
Book 2 of 4: Intelligent Information SystemsLanguage: English
Published by World Scientific Pub Co Inc, 2020
ISBN 10: 9811207453 ISBN 13: 9789811207457
US$ 125.01
US$ 13.33 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categoriza.
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Buch. Condition: Neu. ADAPTIVE MICRO LEARNING | USING FRAGMENTED TIME TO LEARN | Sun Geng | Buch | Gebunden | Englisch | 2020 | World Scientific | EAN 9789811207457 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.Firstly, the current status of mobile-learning, micro-learning, and OERs are described. Then, the significances and challenges of Micro Learning as a Service (MLaaS) are discussed. A framework of a service-oriented system is provided, which adopts both online and offline computation domain to work in conjunction to improve the performance of learning resource adaptation.In addition, a comprehensive learner model and a knowledge base is prepared to semantically profile the learners and learning resource. The novel delivery and access mode of OERs suffers from the cold start problem because of the shortage of already-known learner information versus the continuously released new micro OERs. This unique volume provides an excellent feasible algorithmic solution to overcome the cold start problem.
