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 …

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 an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …

One of the most challenging tasks in the education sector in India is to predict student's
academic performance due to a huge volume of student data. In the Indian context, we don't …

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) …

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 …

Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers 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 …

Educational systems need innovative ways to improve quality of education to achieve the
best results and decrease the failure rate. Educational Data Mining (EDM) has boomed in …