Among the educational data mining problems, the early prediction of the students' academic
performance is the most important task, so that timely and requisite support may be provided …

The prediction of student academic performance with high accuracy is of paramount
importance in improving educational outcomes and developing tailored learning …

In the field of artificial intelligence, machine learning is a hot research direction. With the
improvement of computing power, machine learning has been better developed in the era of …

In recent years, students' performance prediction has been identified as one of the most
essential and challenging research topics for educational institutions. The necessity for …

Predicting student performance for educational organizations such as universities,
community colleges, schools, and training centers will enhance the overall results of these …

The students' performance monitoring and evaluation is an essential activity of an education
system to keep track of the success and failure records of the students. The objective of this …

The ability to predict the performance tendency of students is very important to improve their
teaching skills. It has become a valuable knowledge that can be used for different purposes; …

In higher education, student learning relies increasingly on autonomy. With the rise in
blended learning, both online and offline, students need to further improve their online …

Ensemble methods are considered the state‐of‐the art solution for many machine learning
challenges. Such methods improve the predictive performance of a single model by training …

Academic performance, a globally understood metric, is utilized worldwide across disparate
teaching and learning environments and is regarded as a quantifiable indicator of learning …