Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

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

The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

The data about high students' failure rates in introductory programming courses have been
alarming many educators, raising a number of important questions regarding prediction …

Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …

The applications of artificial intelligence in education have increased in recent years.
However, further conceptual and methodological understanding is needed to advance the …

Online education has been facing difficulty in predicting the academic performance of
students due to the lack of usage of learning process, summative data and a precise …

In this competitive scenario of the educational system, the higher education institutes use
data mining tools and techniques for academic improvement of the student performance and …