Putting adaptive granularity and rich context into learning objects

Haifeng Man, Qun Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010
Pages140-145
Number of pages6
DOIs
Publication statusPublished - 2010 Jul 14
Event2010 9th International Conference on Information Technology Based Higher Education and Training, ITHET 2010 - Cappadocia, Turkey
Duration: 2010 Apr 292010 May 1

Publication series

Name2010 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
CountryTurkey
CityCappadocia
Period10/4/2910/5/1

Keywords

  • Adaptive granularity
  • Context model
  • Context rich paradigm
  • Learning object
  • Resource object
  • Service driven tagging

ASJC Scopus subject areas

  • Information Systems
  • Education

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