The utilization of data mining techniques for the prompt prediction of academic success has
gained significant importance in the current era. There is an increasing interest in utilizing …

Prediction of student performance in educational institutions is a major topic of debate
among researchers in efforts to improve teaching and learning. Effective prediction …

Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …

Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

Today, educational institutions produce large amounts of data with the deployment of
learning management systems. These large datasets provide an untapped potential to …

This project examines the effectiveness of applying machine learning techniques to the
realm of college student success, specifically with the intent of discovering and identifying …

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 …

Educational data mining (EDM) is a new growing research area and the essence of data
mining concepts are used in the educational field for the purpose of extracting useful …

Data mining provides educational institutions that the capability to explore, visualize and
analyze large amounts of data in order to reveal valuable patterns in students' learning …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …