Student graduation rates have always taken prominence in academic studies since they are
considered a major factor in the performance of any university. Accurate models for …

Predicting student performance (PSP) is one of the educational data mining task, where we
would like to know how much knowledge the students have gained and whether they can …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

Students' academic performance analysis and prediction activities enable the educators to
prevent their students from failure by providing necessary support and counseling. With this …

Previous studies widely report the optimization of performance predictions to highlight at‐
risk students and advance the achievement of excellent students. They also have …

With the rapid development of information technology and data science, as well as the
innovative concept of “Internet+” education, personalized e‐learning has received …

Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

With the development of university campus informatization, effective information mined from
fragmented data can greatly improve the management levels of universities and the quality …

Higher education is crucial as it introduces students to various fields and then guides them
to the next steps. Student's academic performance is critical and could lead to failure if it is …

Abstract Machine learning has emerged as the most widely used tool in resolving
administrative and other educational-related problems like student dropout. Most of the …