Learning initiative, Behavior quantification, Potential value, Behavior Clustering, Engineering (General). Civil engineering (General), TA1-2040

As an important learning mode, e-learning has become an important way of online learning, especially during the coronavirus pandemic. However, the separation of teaching and learning in time or space undoubtedly makes it difficult for teachers to master and supervise students' learning initiative. From the perspective of inquiry learning initiative, a learning problem model is constructed. To solve the problem of model timeliness, the learning behavior characteristics have been quantified with the guidance of time parameter. Furthermore, a cluster analysis method is proposed to group the students into different clusters, and a case study is given to verify the proposed scheme. The experimental results show that the proposed method can effectively identify the type of students and the degree of learning engagement.