A Group Formation System Based on Learning Style and Behavior Log Data

It has been always crucial that how to group formation in online learning. Facilitating information exchange among students is important for learning motivation, learning performance achievement as well as cultivation of problem-solving ability. Group learning promotes not only the exchange of knowledge but also communication skills and independent responsibility for learning. As education big data has been increasingly accumulated on various learning platforms, behavior log data provides insight for grouping formation based on students' behavior data. In addition, learning style which acts a significant role in learning has been put a lot of attention. So that, a group formation system was developed based on learning style and behavior data, which features grouping students with consider learning behavior and learning style. After that, a detailed design description and usage introduction were also provided. In the future, an evaluation of the effectiveness of this system will be conducted through an empirical experiment