Many prestigious educational institutions are developing and popularizing interactive classrooms. Online study plans allow students to interact with professors and classmates. Internet accessibility allows this. These interactive learning programmes generate massive volumes of data from new and returning users, making it possible to spot trends. These recurring issues improve existing educational methods and education overall. Students may become better persons by analysing their strengths and weaknesses. EDM models are beneficial because to the fact that they can be used to past data in order to make accurate predictions on how pupils will perform in the future. Educational institutions use a wide number of approaches to gather data on the personalities of students who are actively engaged in the learning process. The purpose of this data collection is to aid both students and instructors in improving their overall performance. This article presents an investigation of various applications of data mining in education. A critical review of existing data mining methods in education is also presented in detail.

Topics
Data mining, Students, Learning and learning models, Education, Review
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