@article{3950,
  author = {Xiaojuan Chen},
  title = {The Learning Platform System of Theory and Education Based on Association Rule Learning Algorithm},
  journal = {Journal of Information Technology Review},
  year = {2023},
  volume = {15},
  number = {1},
  doi = {https://doi.org/10.6025/jitr/2024/15/1/7-13},
  url = {https://www.dline.info/jitr/fulltext/v15n1/jitrv15n1_2.pdf},
  abstract = {Integrating the traditional advantages of promoting theory and education courses and information technology is necessary for educational development. Achieving true “teaching based on individual differences” requires the scientific application of educational big data. This paper uses association rule mining technology to start from 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 theory and educational courses.},
}