Improving the efficiency of curriculum education and student management according to the changing characteristics of the social environment is of great significance to the construction of a perfect social and cultural system. This paper constructs a fusion model of student management and curriculum education, taking into account the weaknesses and outstanding problems in both areas. In order to accurately control the behavior of university students, a student behavior prediction method based on the fusion model is proposed, which first uses the k-means clustering method to cluster the daily activity frequency sequences of all users and then realizes the prediction of the individual mobility of students through the LSTM model based on the historical records, and extracts the collective location preference of each user cluster. The effectiveness of the proposed fusion model is assessed using BJ University Daxing Campus as a case study. The results show that after applying the model proposed in this paper, students’ perceptual, language expression, language comprehension, cognitive, social, emotional, and behavioral abilities are improved by 0.941~1.256 points compared with those before the application of the model, with a significant difference of P<0.01, which verifies that the fusion model has strong feasibility. It has positive significance for the work of student management and curriculum education. Research has a positive significance.