A Design to Promote Group Learning in e-learning by Naive Bayesian

The Internet enables learners to be brought together where they can cooperate in learning in groups without space and time limitations. Interaction is a critical success factor that affects group learning. In this study, we propose a useful grouping method to help teachers improve group-learning in e-learning by first establishing effective groups based on the naive Bayes method. Personal characteristics will affect the communication modes within the group learning process. We identify four different attributes for further research of high-interaction and high-satisfaction groups - learning periods (Time), Region, Age, and Value types. Field observations and quantitative evidence show the validity and practicability of the proposed method.