Research on e-learner personality grouping based on fuzzy clustering analysis

被引：0

作者：

Tian, Feng ^{[1
]}

Wang, Shibin ^{[1
]}

Zheng, Cheng ^{[1
]}

Zheng, Qinghua ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat, Xian 710049, Peoples R China

来源：

PROCEEDINGS OF THE 2008 12TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS I AND II | 2008年

关键词：

e-learning; learner personality; fuzzy clustering analysis; transitive closure;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 on 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.

引用

页码：1035 / 1040

页数：6

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