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

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.