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文章基本信息

  • 标题:Real-time Learning Behavior Mining Algorithm
  • 作者:Yen-Hung Kuo ; Juei-Nan Chen ; Yueh-Min Huang
  • 期刊名称:Learning Technology
  • 印刷版ISSN:1438-0625
  • 出版年度:2004
  • 卷号:6
  • 期号:04
  • 出版社:IEEE Computer Society
  • 摘要:

    Over the last years, we have witnessed an explosive growth of e-learning. More and more learning contents have been published and shared over the Internet. Therefore, how to progress an efficient learning process becomes a critical issue. This paper proposes a sequential mining algorithm to analyze learning behaviors for discovering frequently sequential patterns [2]. By these patterns, we can provide suggestions for learners to select their interest learning contents. Different to other sequential mining algorithms, this study provides an incrementally method to analyze learning sequencing. More specifically, the mining algorithm in this paper can provide real-time analysis report to learners for selecting learning contents more easily.

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