Title :
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.
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;
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
DOI :
10.1109/CSCWD.2006.253206
