Name: Adaptive Micro Learning: Using Fragmented Time to Learn: 5 (Intelligent Information Systems) (en Inglés)
Price: 73.89 USD
Availability: InStock
Author: Geng Sun; Jun Shen; Jiayin Lin
ISBN: 9789811207457

portada Adaptive Micro Learning: Using Fragmented Time to Learn: 5 (Intelligent Information Systems) (en Inglés)

Formato

Libro Físico

Editorial

World Scientific Pub Co Inc

Autor

Geng Sun; Jun Shen; Jiayin Lin

Año

2020

Idioma

Inglés

N° páginas

152

Encuadernación

Tapa Dura

ISBN13

9789811207457

Categorías

Inteligencia artificial

Adaptive Micro Learning: Using Fragmented Time to Learn: 5 (Intelligent Information Systems) (en Inglés)

Geng Sun; Jun Shen; Jiayin Lin (Autor) · World Scientific Pub Co Inc · Tapa Dura

Libro Físico

$ 73.89

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Reseña del libro "Adaptive Micro Learning: Using Fragmented Time to Learn: 5 (Intelligent Information Systems) (en Inglés)"

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.