Research on Personalized E-Learning System Using Fuzzy Set Based Clustering Algorithm

  • Authors:
  • Feng Lu;Xin Li;Qingtang Liu;Zongkai Yang;Guoxin Tan;Tingting He

  • Affiliations:
  • Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China and Science and Technology of Education Department, Hunan University Of Scien ...;Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China and Science and Technology of Education Department, Hunan University Of Scien ...;Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China;Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China;Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China;Engineering & Research Center for Information Technology on Education, Huazhong, Normal University Wuhan 430079, China

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

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Abstract

Personalized service is becoming increasingly important, especially in E-learning field. Most personalized E-learning systems only take learners preferences, interests and browsing behaviors into consideration. These systems usually neglect considering whether the learners ability and the difficulty level of recommended learning materials are matched to each other or not. This paper proposes a personalized E-learning system using fuzzy set based clustering algorithm which considers both course materials' difficulty and learners' ability to provide appropriate learning stuffs for learners individually, to help learners learn more efficiently and effectively.