Data Mining Models for Online Education Management
Li Hongxia
Journal of Intelligent Computing, Vol. 14, No. 3, 2023.
DOI: https://doi.org/10.6025/jic/2023/14/3/61-68
Link: 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 studentsâ€™ learning progress, analyzing studentsâ€™ 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 studentsâ€™ learning status and improve teaching quality. At the same time, data mining can also analyze studentsâ€™ learning behavior and provide personalized learning suggestions and guidance.