Predicting student performance is a crucial research area in educational data mining.
Student grades are influenced by various factors such as past academic performance, family …

Student performance prediction is vital for identifying at-risk students and providing support
to help them succeed academically. In this paper, we propose a feature importance-based …

The use of machine learning and data mining in the educational field to predict student
performance, known as educational data mining, which has always been an important study …

This paper presents the outcomes of linking an educational data mining approach to model
students' academic performance. Three data mining classification models (Naïve Bayes …

Performance prediction is an important research facet of educational data mining. Most
models extract student behavior features from campus card data for prediction. However …

Student performance prediction has attracted more and more attention in the educational
data mining field in recent years. An accurate and useful forecast on student performance …

Quality Education has been declared as one of the seventeen sustainable development
goals of the United Nations [1]. Increased development of technology [2] and access to high …

Data Mining is a rising field utilized in educational purposes to enhance the insightful and
learning strategy for students. It centers around perceiving, extricating and calculating …

In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …

Education is the key to success which provides multiple opportunities in the life. Education
not only contributes to individual success but also contributes to the success of the society …