Adaptive Micro Learning: Using Fragmented Time to Learn (Intelligent Information Systems) - Hardcover

Book 2 of 4: Intelligent Information Systems

Sun Geng

 
9789811207457: Adaptive Micro Learning: Using Fragmented Time to Learn (Intelligent Information Systems)
Hardcover
ISBN 10: 9811207453 ISBN 13: 9789811207457
Publisher: World Scientific Publishing Company, 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.

"synopsis" may belong to another edition of this title.

Publisher
World Scientific Publishing Company
Publication date
2020
Language
English
ISBN 10 
9811207453
ISBN 13 
9789811207457
Binding
Hardcover
Number of pages
152