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文章基本信息

  • 标题:Improving AEH Courses through Log Analysis
  • 作者:César Vialardi ; Javier Bravo ; Alvaro Ortigosa
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2008
  • 卷号:14
  • 期号:17
  • 页码:2777-2798
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need specific methods and tools for supporting their work. In that sense, data mining is a promising technology. In fact, data mining techniques have already been used in E-learning systems, but most of the times their application is oriented to provide better support to students; little work has been done for assisting adaptive hypermedia authors through data mining. In this paper we present a proposal for using data mining for improving an adaptive hypermedia system. A tool implementing the proposed approach is also presented, along with examples of how data mining technology can assist teachers.
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