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文章基本信息

  • 标题:The Procrastination Related Indicators in e-Learning Platforms
  • 本地全文:下载
  • 作者:Maria del Puerto Paule-Ruiz ; Moises Riestra-Gonzalez ; Miguel Sánchez-Santillan
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2015
  • 卷号:21
  • 期号:1
  • 页码:7-22
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:In general, research confirms that learning is more effective when students obtain feedback regarding their learning progress. Currently, new versions of e-learning platforms include indicators that provide some static feedback mechanisms and help both learners and educators in planning their learning strategies. This paper explains the usage of indicators in current e-learning systems, generates a taxonomy for their classification, and studies their influence on student performance. Also, it provides a study which is based on the combination of a user-based evaluation process that facilitates data collection and data mining algorithms to infer association rules between learning variables and performance. The results highlight how procrastination influences negative learning performance and how time-related indicators are tightly coupled with students' performance in e-learning platforms.
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