Predicting engineering students' academic performance is crucial for teachers to implement
teaching interventions. How to use students' behavior records to predict grades during …

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 …

Predicting students academic performance is very important for students future
development. There are a large number of students who can not graduate from colleges on …

With the expansion of college enrollment in recent years, the quality of students' learning is
beginning to decline. At present, education quality governance has become the internal …

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 student performance is crucial for improving students' future academic
achievements. Within student groups, common characteristics can reveal trends in overall …

With the development of information technology construction in schools, predicting student
grades has become a hot area of application in current educational research. Using data …

Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …

In recent times, the question of employability has become a critical concern not only for
degree holders but for educational organizations. Hence, employability prediction models …

Educational institutions generate a large amount of digital data in their daily operations,
which is stored in servers, forming a substantial educational data set. Extracting valuable …