Finding a solution to reduce academic risk is an often-required task in online and hybrid courses. It is insufficient for teachers to rely on intuition and experience to identify the students with potential academic risk in e-learning. Therefore, in this study, we propose a detection model to automatically detect e-learning behavior problems of students. We used web course as pre-class learning task in information technology and curriculum integration course in the fall semester of 2018 at Central China Normal University, and recorded one semes...
