Patterns of Web Based Learning in the Semantic Web Era

Andrew K. Lui, Sandy S C Li

Research output: Chapter in book/report/conference proceedingChapterpeer-review

Abstract

The emergence of the Semantic Web presents immense opportunities and challenges to the education industry. The second-generation web environment promises to offer a metadata framework for effective querying and intelligent tools for knowledge reasoning and inference. It is now regarded as an ideal platform for the implementation of E-Learning, an increasingly prominent style of learning. This paper identifies various web based learning scenarios that will thrive in the Semantic Web era. Three representative patterns will be shown. Each of these patterns would satisfy a characteristic learner group, sustain learning, and add values to web learning resources. The identification of all these patterns would enable tertiary institutions and other E-Learning providers to be more aware of possibilities and threats.
Original languageEnglish
Title of host publicationWeb-Based Learning: Men and Machines
EditorsReggie Kwan, Weijia Jia, Anthony Fong, Ronnie Cheung
PublisherWorld Scientific Publishing Co.
Pages135-146
Number of pages12
ISBN (Electronic)9789814487719, 9789812776747
ISBN (Print)9789812381262
DOIs
Publication statusPublished - Jul 2002
Event1st International Conference on Web-Based Learning, ICWL 2002 - Hong Kong, China
Duration: 17 Aug 200219 Aug 2002

Conference

Conference1st International Conference on Web-Based Learning, ICWL 2002
Country/TerritoryChina
CityHong Kong
Period17/08/0219/08/02

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