Education is essential and increasingly crucial for the development of almost all countries
worldwide. As educational data has become increasingly available, scholars have shown a …

The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …

The advancement in technology has contributed largely to the application of data mining in
education in recent times. However, selecting appropriate algorithm (s) to “mine” knowledge …

In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

One of the ultimate goals of the learning process is the success of student learning. Using
data and students' achievement with machine learning to predict the success of student …

Success in student learning is the primary aim of the educational system. Artificial
intelligence utilizes data and machine learning to achieve excellence in student learning. In …

Prediction of students' academic performance has garnered considerable interest, with
many institutions seek to enhance students' performance and their quality of education. The …

Depending on the different activities of the students, their target goals may change. There it
is more important to identify the relation in their educational activities, other extracurricular …

Despite various measured taken by the universities and colleges, the number of college and
university dropouts is still on the rise. About 19.5% of students in the UK drop out of their …

Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …