Adaptive Micro Learning: Using Fragmented Time to Learn - Couverture rigide

Livre 2 sur 4: Intelligent Information Systems

Sun, Geng; Shen, Jun; Lin, Jiayin

 
9789811207457: Adaptive Micro Learning: Using Fragmented Time to Learn
Couverture rigide
ISBN 10 : 9811207453 ISBN 13 : 9789811207457
Editeur : World Scientific Publishing Co Pte Ltd, 2020

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
World Scientific Publishing Co Pte Ltd
Date d'édition
2020
Langue
anglais
ISBN 10 
9811207453
ISBN 13 
9789811207457
Reliure
Relié
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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