Grouping e-learners based on clustering
Xiyuan Wu, Qinghua Zheng, Yan Fu, Hao Wang · 2011
Studying on human personality is an important part of personalized service in e-Learning system. By understanding the personality characteristics of learners, we can provide better services to help learners improve learning efficiency. Grouping learners can help interaction and discussion among learners in e Learning system. But how to compose groups is a problem. The paper proposes a method based on data mining technology to group e-learners automatically according to their personality characteristics. Five groups, which have distinctive features, are obtained. At last, an empirical study is presented to evaluate the result.