
Adaptive Micro Learning - Using Fragmented Time To Learn
USING FRAGMENTED TIME TO LEARN
World Scientific Publishing Co Pte Ltd
Published on 9. March 2020
Book
Hardback
152 pages
978-981-12-0745-7 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 13 mm
Weight
381 gr
ISBN-13
978-981-12-0745-7 (9789811207457)
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Schweitzer Classification
Persons
Author
Univ Of Wollongong, Australia
Univ Of Wollongong, Australia
Univ Of Wollongong, Australia