A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …

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 …

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 …

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 …

Predicting students' academic performance is of great concern for both students and
educational institutions. Drawing on the prediction of learning outcome, lecturers and …

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

Artificial intelligence has impacted education in recent years. Datafication of education has
allowed developing automated methods to detect patterns in extensive collections of …

This research investigates the impact of machine learning on higher education teaching and
learning, as well as strategies for enhancing the learning environment. There has been a …

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

The low birth rate in Taiwan has led to a severe challenge for many universities to enroll a
sufficient number of students. Consequently, a large number of students have been admitted …