The science of data mining has contributed considerably to the education sector. However,
most educational data mining (EDM) studies have focused on predicting the future …

In the current educational landscape, where large amounts of data are being produced by
institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a …

The behavior of undergraduates' withdrawing from higher education institutions before
completing their degrees, and the low percentage of on-time degree completion, are …

The study aims to recognize how efficiently Educational Data Mining (EDM) integrates into
Artificial Intelligence (AI) to develop skills for predicting students' performance. The study …

Educational Data Mining (EDM) involves the extraction of concepts and similar useful
information from data sets that store information about academic work. EDM incorporates a …

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 …

The expansion of enrolments in South African higher education institutions has not been
accompanied by a proportional increase in the percentage of students who graduate. This is …

Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as
interesting areas of research, which are unfolding useful knowledge from educational …

The plethora of changes that have taken place in policy formulations on higher education in
recent years in Greece has led to unification, the abolition of departments or technological …

Nowadays, researchers analyse student data to predict the graduation rate by looking at the
characteristics of students enrolled and to take corrective actions at an early stage or …