Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

With technological advancement, data is proliferating. Therefore, a need has been felt for
advanced analytic techniques, which can help in extracting useful information, patterns, and …

Some of the educational organizations have multi-education paths such as engineering and
medicine collages. In such colleges, the behavior of the student in the preparatory year …

Nowadays, both predictive and descriptive modelling play a key role in decision-making
processes in almost every branch of activity. In this article we are introducing, a generic …

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

This paper analyses the problem of predicting students' academic performance, a subject
that is increasingly investigated within the Educational Data Mining literature. For a better …

In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …

In the field of education, every institution stores a significant amount of data in digital form on
the academic performance of students. If this data is correctly analysed to discover any …

The main purpose of the Educational Data Mining domain is to provide additional insights
into the students' learning mechanism and thus to offer a better understanding of the …

Performance evaluation of students is essential to check the feasibility of improvement.
Regular evaluation not only improves the performance of the student but also it helps in …