The massive adoption of artificial intelligence has opened up the opportunity for a range of
intelligent technologies that can support education. Empowering instructors with tools able …

The massive adoption of artificial intelligence has opened up the opportunity for a range of
intelligent technologies that can support education. Empowering instructors with tools able …

Analytical models developed in offline settings with pre-prepared data are typically used to
predict students' performance. However, when data are available over time, this learning …

While predictive analytics have been used in a wide range of situations, by far the most
common use of predictive analytics is to improve student retention and academic …

Finding a solution to the problem of student retention is an often-required task across Higher
Education. Most often managers and academics alike rely on intuition and experience to …

The ability to predict students academic performance in a timely manner is very important in
learning institutions [18]. Student performance prediction is an important area as it can help …

The prevalent issue of increased student dropouts, shared by universities worldwide, often
culminates in decreased academic performance and prolonged completion times for degree …

In this paper, we present a regression model to predict students' midterm and final
examinations by using student interaction history from course's online system. The …

Predicting student performance supports educational decision-making by allowing directives
and teachers to detect students in special situations (eg students at risk of failing a course or …

One of the most crucial aspects is predicting students' performance in the educational
domains such as schools and universities, because it aids in the creation of effective …