Education is essential for achieving many Sustainable Development Goals (SDGs).
Therefore, the education system focuses on empowering more educated people and …

Monitoring students' academic progress is vital for ensuring timely completion of their
studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine …

This paper aims to comprehensively review the present state and research trends in
predictive systems in higher education. It also addresses the research contribution of …

PerformanceX is a proposed system that combines Educational Data Mining (EDM)
techniques to enhance student performance and reduce dropout rates. It employs a hybrid …

The world's move to a global economy has an impact on the high rate of student academic
failure. Higher education, as the affected party, is considered crucial in reducing student …

There are a lot of students in the modern educational system who need to pursue further
education after taking an undergraduate certification course. Advanced education in the …

The growth of electronic data in educational institutions provides an opportunity to extract
information that can be used to predict students' academic performance and dropout rates …

In the area of educational data mining (EDM), it is important to develop technologically
sophisticated solutions. An exponential growth in educational data raises the possibility that …

These days, online learning for kids has become essential due to the development of
technology and the need for fast learning, however, online learning for kids can bring some …

Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …