@article{4458,
  author = {Xiaojuan Chen},
  title = {The Learning Platform System of Marxist Theory and Education based on Association Rule Learning Algorithm},
  journal = {Journal of Information Technology Review},
  year = {2025},
  volume = {16},
  number = {2},
  doi = {https://doi.org/10.6025/jitr/2025/16/2/55-62},
  url = {https://www.dline.info/jitr/fulltext/v16n2/jitrv16n2_2.pdf},
  abstract = {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.},
}