Predicting students' academic performance is critical for educational institutions because
strategic programs can be planned in improving or maintaining students' performance …

Based on the advancement in the field of Artificial Intelligence, there is still a room for
enhancement of student university retention. The main objective of this study is to assess the …

Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …

Over the last decade, there has been great research interest in the application of artificial
intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has …

Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …

Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …

The tremendous growth of educational institutions' electronic data provides the opportunity
to extract information that can be used to predict students' overall success, predict students' …

Students' success has recently become a primary strategic objective for most institutions of
higher education. With budget cuts and increasing operational costs, academic institutions …

The academic performance of a student in a university is determined by a number of factors,
both academic and non-academic. Student that previously excelled at the secondary school …

Educational institutions are creating a considerable amount of data regarding students,
faculty and related organs. This data is an essential asset for academic institutions as it has …