Due to the spatiotemporal separation characteristics of online learning, how to supervise and grasp students' learning status and provide timely learning interventions has become the primary challenge to be solved in online teaching. Starting from the perspective of student learning profiling, this article combines profiling technology with learning behavior analysis technology to construct timely individual and group student profiles, visually presenting student behavior data and intervening to improve learning quality.
维普
万方数据
