Learning Assessment Model in Web-Learning Based on Rough Set

  • Authors:

  • Yan Li;Chen Yang

  • Affiliations:

  • School of Physics & Information Engineering, Jianghan University, Wuhan 430056, P.R. China;Engineering Research Center for Information Technology on Education, Center China Normal University, Wuhan 430079, P.R. China

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
  • Year:
  • 2007

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Abstract

Assessment is a powerful technique for improving Web-Learning achievement. In this paper we outline a learning assessment model to assessment learning effect for improving learning efficiency. This learning assessment model is based on the rough set theory. In Web-Learning process, learners' data are collected. And, the model used attribute reduction to reduce many factors that in the learning process. It found the key factors which affect the learning effect. Then, the association rules among factors have been concluded. Finally, this learning assessment model is experimented at Jianghan University.