Putting adaptive granularity and rich context into learning objects

Haifeng Man*, Qun Jin

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

The content granularity and context information are two important factors to the efficiency and reusability of learning objects. The context information is necessary to facilitate the discovery and reuse of learning objects stored in global and/or local repositories. However, traditional learning objects are generally not conceived to incorporate with enough context information. Users have to do some extension of the description item set to fit their special use. In this paper, in order to deal with the issue mentioned above, we firstly introduce a context-rich paradigm, the related service driven tagging strategy, and a context model of learning objects. We further explain how to use the context information to realize the adaptive granularity of the content object. Finally, we show a simple concept model for online authoring systems that support the evolution from resource objects to learning objects.

本文言語English
ホスト出版物のタイトル2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010
ページ140-145
ページ数6
DOI
出版ステータスPublished - 2010 7 14
イベント2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 - Cappadocia, Turkey
継続期間: 2010 4 292010 5 1

出版物シリーズ

名前2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010

Conference

Conference2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010
国/地域Turkey
CityCappadocia
Period10/4/2910/5/1

ASJC Scopus subject areas

  • 情報システム
  • 教育

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