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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