A relation metadata extension for SCORM Content Aggregation Model

  • Authors:
  • Eric Jui-Lin Lu;Chin-Ju Hsieh

  • Affiliations:
  • Department of Management Information Systems, National Chung Hsing University, 250 Kuo-Kuang Rd., Taichung, 402 Taiwan, ROC;Department of Information Management, Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, 413 Taiwan, ROC

  • Venue:
  • Computer Standards & Interfaces
  • Year:
  • 2009

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Abstract

To increase the interchangeability and reusability of learning objects, Advanced Distributed Learning Initiative suggested a set of metadata in SCORM Content Aggregation Model to describe learning objects and express relationships between learning objects. However, the suggested relations defined in the metadata of the SCORM CAM are limited. To resolve the problem, new relations were proposed by researchers. Unfortunately, some of the relations are redundant and even inappropriate. In addition, the usability of these relations has never been formally studied. Therefore, in this paper, we summarized and analyzed existing relations, removed duplicated relations, and developed a new relation metadata extension for SCORM CAM. Also, we surveyed 145 students in attempt to understand whether or not the proposed relations can increase their learning effectiveness. The results of the survey showed that learners agreed that the proposed relations are helpful.