A method for learner grouping based on personality clustering

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21 Scopus citations

Abstract

Grouping learners according to their features in the web-based learning environment is a key to build personalization learning system. This paper proposes a new method for learner grouping bused on personality clustering. We first build a learner model including a personality model and a behavior mode, which is the basis of learner grouping. Furthermore, the feasibility of K-means algorithm being used in learner grouping is discussed. In addition, the process and result of learner grouping based on personality clustering is investigated. The result of experiment indicated that this method is feasible and efficient.

Original languageEnglish
Title of host publicationProceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
Pages1420-1425
Number of pages6
DOIs
StatePublished - 2006
Event2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006 - Nanjing, China
Duration: 3 May 20065 May 2006

Publication series

NameProceedings - 2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006

Conference

Conference2006 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006
Country/TerritoryChina
CityNanjing
Period3/05/065/05/06

Keywords

  • Clustering
  • Grouping
  • Personalization
  • Web-based learning

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