A Method for Learner Grouping Based on Personality Clustering

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