Research on online course learning outcome indicators exploration and learning group analysis based on multiple regression analysis

Abstract

Low learning participation and efficiency are the main problems faced by online course learning. Predicting learning results according to learning behaviors to carry out timely and effective learning intervention is one of the ways to improve this problem. Based on the multiple regression analysis method, this paper conducts a cluster analysis on the teaching data of an online course in Wuhan Business School, and finds that the learning time and the number of learners are the two main indicators that affect the learning results. provide a basis.