Automatic Student Grouping Method for Foreign Language Learning

How to divide students into appropriate learning groups is an important issue of group-based learning methods in Foreign Language Learning. To overcome the shortcomings of manual grouping method, this paper proposes an automatic student grouping method. First, the student profile is built on his knowledge level judged by examinations. Then, a student clustering method using network community is proposed. Finally, the proposed method is evaluated by comparing the students of clustered groups with those of the manual groups in the learning effectiveness. The experimental results show the proposed method is flexible, comprehensive, and timely compared with manual group methods.