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 …

There is a growing awareness among researchers about the apparent variations in the
academic performance of students in tertiary institutions. Although, many studies have …

The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …

Universities gather large volumes of data with reference to their students in electronic form.
The advances in the data mining field make it possible to mine these educational data and …

Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

The ability to timely predict the academic performance tendency of postgraduate students is
very important in MSc programs and useful for tutors. The scope of this research is to …

Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …

For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …

Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

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 …