With the development of university campus informatization, effective information mined from
fragmented data can greatly improve the management levels of universities and the quality …

Predicting students' performance has become a major need in most educational institutions.
This is necessary to support at-risk students, ensure their retention, provide top-notch …

During the teaching process of college courses, prediction of students' final performance at
early stages can help teachers intervene students and improve the teaching effects. In …

Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …

This study focused on the statistical technique using the neural network, hybrid models and
factor analysis on constructing the new factors affecting students learning styles of the …

The application of data mining in teaching has entered the stage of development. During the
epidemic, colleges and universities have accumulated a large amount of online teaching …

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 …

Although the modern education system is highly developed, educators have never stopped
looking for new ways to improve it. After entering the 21st century, more and more …

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 …

Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …