Educational data mining is an emerging trend, concerned with developing techniques for
exploring, and analyzing the huge data that come from the educational context. EDM is …

In Indonesia, in order to maximize its academic potential, high school students need to be
grouped in classes based on their interests and talents. Three commonly made groups are …

The learning effect of students is crucial for assessing teaching quality, thus playing a
significant role in teaching management. Predicting student achievement is a major …

How to effectively mine students' behavior data is an important part of improving the level of
university student information management. Aiming at the problems of imperfect student …

Predicting students' performance is one of the important tasks in Educational Data Mining
(EDM). Early prediction can help the university to take actions that help students to graduate …

Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

In this, we mainly focus on the analysis of the student's performance in academics based not
only on external exams, but also taking into consideration the internal marks of each and …

The accurate prediction of students academic success holds significance in enhancing
educational outcomes. The study focuses on overcoming the challenge of assessing …

Many scholars have looked into student academic performance in monitoring and non-
supervision supervised learning, and they have used a variety of data mining techniques. To …