In this paper, the TR graph is constructed by combining the advantages of the tree diagram and Nightingale’s rose diagram, followed by the use of the LR+GBDT fusion model for predicting students’ performance. For the shortcomings of the K-prototypes algorithm in the application of educational data, an improved K-prototypes algorithm for student group division and feature labeling, and finally, user portrait as a pivot will be the fusion of the three to solve the problem of multi-chart linkage and the integration of charts constructed the student portrait, assisting teachers to make scientific decisions to develop personalized learning strategies. Through the integration of social resources and the curriculum content of the ideological and political discipline, a project-based learning model is established to realize the goal of cultivating students’ core qualities in the discipline of the ideological and political discipline. After the project-based learning mode, the difference between the pre-test and post-test scores of the experimental class’ ideological and political character was −6.83, p=0.000
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