A Method for Learner Grouping Based on Personality Clustering

Author

Jin, Du ; Qinghua, Zheng ; Jiao, Ding ; Zhiyong, Gong

Author_Institution

Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ.

fYear

2006

fDate

3-5 May 2006

Firstpage

1

Lastpage

6

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 based 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

Keywords

computer aided instruction; human factors; K-means algorithm; Web-based learning environment; behavior mode; grouping learners; personality clustering; personality model; personalization learning system; Clustering algorithms; Collaborative work; Cows; Design engineering; Design methodology; Educational institutions; Industrial training; Learning systems; Mathematical model; Psychology; Web-based learning; clustering; grouping; personalization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on

Conference_Location

Nanjing

Print_ISBN

1-4244-0164-X

Electronic_ISBN

1-4244-0165-8

Type

conf

DOI

10.1109/CSCWD.2006.253206

Filename

4019242