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Research on E-learner Personality Grouping Based on Fuzzy Clustering Analysis
Tian Feng ,Wang Shibin ,Cheng Zheng,Zheng Qinghua
School of Electronics and Informatics, Xi’an Jiaotong University
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Funding: 国家自然科学基金,国家自然科学基金,教育部博士点基金,国家科技攻关重大项目（No.60373105,60473136,20040698028,2005BA115A01）
Opened online: 4 January 2008
Accepted by: none
Citation: Tian Feng ,Wang Shibin ,Cheng Zheng.Research on E-learner Personality Grouping Based on Fuzzy Clustering Analysis[OL]. [ 4 January 2008] http://en.paper.edu.cn/en_releasepaper/content/17727
 
 
Many clustering methods have been adopted by personalized e-learning system to find interested groups or common characteristics of members within the same group. However, hard boundary during discretization of collected data or subjective influences was introduced, and corresponding methods were utilized. Aiming at this problem, a fuzzy clustering method based on fuzzy statistic is proposed to cluster the learners according to their personality and learning strategy data collected from an online system. Then, an analysis method based on frequent pattern is introduced to testify the result of the proposed unsupervised clustering methods. The clustering results correspond with viewpoints of pedagogy.
Keywords:e-learning, learner personality, fuzzy clustering analysis, transitive closure.
 
 
 

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