@article{3801,
  author = {Li Hongxia},
  title = {Data Mining Models for Online Education Management},
  journal = {Journal of Intelligent Computing},
  year = {2023},
  volume = {14},
  number = {3},
  doi = {https://doi.org/10.6025/jic/2023/14/3/61-68},
  url = {https://www.dline.info/jic/fulltext/v14n3/jicv14n3_1.pdf},
  abstract = {With the rapid development of internet technology, distance education has become an important way of education. However, remote education management has many problems, such as controlling students’ learning progress, analyzing students’ interactivity, and evaluating teaching quality. To effectively address these issues, this article proposes constructing an intelligent model for remote education management based on data mining algorithms. This article first introduces the application of data mining algorithms in remote education management. Through data mining technology, valuable information can be extracted from a large amount of data, which helps teachers better understand students’ learning status and improve teaching quality. At the same time, data mining can also analyze students’ learning behavior and provide personalized learning suggestions and guidance.},
}