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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Pages1035-1040
Number of pages6
DOIs
StatePublished - 2008
Event2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD - Xi'an, China
Duration: 16 Apr 200818 Apr 2008

Publication series

NameProceedings of the 2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Volume2

Conference

Conference2008 12th International Conference on Computer Supported Cooperative Work in Design, CSCWD
Country/TerritoryChina
CityXi'an
Period16/04/0818/04/08

Keywords

  • E-learning
  • Fuzzy clustering analysis
  • Learner personality
  • Transitive closure

Fingerprint

Dive into the research topics of 'Research on e-learner personality grouping based on fuzzy clustering analysis'. Together they form a unique fingerprint.

Cite this