Artificial intelligence (AI) technologies are used in many dimensions of our lives, including
education. Motivated by the increasing use of AI technologies and the current state of the art …

Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

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 …

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

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 …

The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

An early warning system can help to identify at-risk students, or predict student learning
performance by analyzing learning portfolios recorded in a learning management system …

Data mining methods are often implemented at advanced universities today for analyzing
available data and extracting information and knowledge to support decision-making. This …

Educational data mining is an emerging discipline, concerned with developing methods for
exploring the unique types of data that come from the educational context. This work is a …

A significant amount of research has indicated that students' procrastination tendencies are
an important factor influencing the performance of students in online learning. It is, therefore …