Educational data mining is a growing academic research area which aims to gain significant
insights on student behavior, interactions and performance by applying data mining …

A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …

Many stakeholders including students, teachers, and educational institutions, benefit from
accurately predicting student performance and facilitating data-driven policies. In this field …

Student academic performance prediction is one of the important works in the teaching
management, which can realize accurate management, scientific teaching and personalized …

While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …

Around the world, the COVID-19 pandemic has created significant obstacles for education,
driving people to discover workarounds to maintain education. Because of the excellent …

In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …

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

Predicting student performance is crucial for improving students' future academic
achievements. Within student groups, common characteristics can reveal trends in overall …

Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …