The proliferation of mobile devices and the rapid development of information and
communication technologies (ICT) have seen increasingly large volume and variety of data …

Artificial intelligence systems such as early warning systems are becoming more common in
Higher Education. However, the students' reactions to such techno-pedagogical innovations …

Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …

Early prediction of school dropout is a serious problem in education, but it is not an easy
issue to resolve. On the one hand, there are many factors that can influence student …

Using data mining methods, this paper presents a new means of identifying freshmen's
profiles likely to face major difficulties to complete their first academic year. Academic failure …

Identifying at-risk students as soon as possible is a challenge in educational institutions.
Decreasing the time lag between identification and real at-risk state may significantly reduce …

Artificial intelligence has impacted education in recent years. Datafication of education has
allowed develo** automated methods to detect patterns in extensive collections of …

Predicting student academic performance has been an important research topic in
Educational Data Mining (EDM) which uses machine learning and data mining techniques …

The use of machine learning, which is one of the implementations in the field of artificial
intelligence, has penetrated into various fields, including education. By using a combination …

Educational Data Mining (EDM) has emerged over the last two decades, concerning with the
development and implementation of data mining methods in order to facilitate the analysis of …