Study on the personality mining method for learners in network learning

A personality mining method was proposed to obtain the personality characteristics of learners automatically in the network learning. In the method, the redundant personality attributes of learners were wiped off through attribute reduction, and then the association rules of the personality characteristics and learning behavior patterns were obtained through the analysis of the learning logs. Finally, the learners' personality characteristics were deduced from their learning behaviors by using the rules above. The method not only solves the issues of the automatic acquisition of the personality characteristics in the personalized network learning, but also indicates the relationship between the learners' personality characteristics and behaviors. The method has already been implemented and tested in our computer-managed instruction system, and the result manifests that the proposed method is effective.