Journal of Information Technology Review Xiaojuan Chen 16 2 2025 https://doi.org/10.6025/jitr/2025/16/2/55-62 https://www.dline.info/jitr/fulltext/v16n2/jitrv16n2_2.pdf The integration of traditional advantages, such as promoting Marxist theory and educational courses, with information technology is necessary for academic development. Achieving true “teaching based on individual differences” requires the scientific application of educational big data. This paper utilizes association rule mining technology to address the demand for student task point learning management in the current personalized learning platform system. It analyzes the current status and research trends of personalized learning and association rules. Then, it discusses the principles, advantages, and disadvantages of the classic Apriori algorithm and proposes an improved algorithm. Finally, the feasibility and actual effects of the algorithm are verified through simulations on the learning platform system, providing certain assistance for future research on Marxist theory and educational courses.