Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Predicting the performance of a student is a great concern to the higher education
managements. The scope of this paper is to identify the factors influencing the performance …

Student performance in university courses is of great concern to the higher education
managements where several factors may affect the performance. This paper is an attempt to …

The increasing popularity of e‐learning has created a need for accurate student
achievement prediction mechanisms, allowing instructors to improve the efficiency of their …

A smart classroom integrates the different components in a traditional classroom, by using
different technologies as artificial intelligence, ubiquitous, and cloud paradigms, among …

The ability to predict the students' academic performance is very important in institution
educational system. Recently some researchers have been proposed data mining …

This thesis examines the application of machine learning algorithms to predict whether a
student will be successful or not. The specific focus of the thesis is the comparison of …

Student performance prediction is a great area of concern for educational institutions to
prevent their students from failure by providing necessary support and counseling to …

On a daily basis, a large amount of data is gathered through the participation of students in e-
learning environments. This wealth of data is an invaluable asset to researchers as they can …

Learning style is deemed crucial for different types of age groups. It is essential, especially
for individual learning achievement. Learning is a part of cognitive processes affecting the …