Predicting student performance supports educational decision-making by allowing directives
and teachers to detect students in special situations (eg students at risk of failing a course or …

Performance prediction research has become an important research task in the education
field. Previous studies mainly used questionnaires and specific learning systems to collect …

Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …

In several areas, including education, the use of machine learning, such as artificial neural
networks, has resulted in significant improvements in predicting tasks. The opacity of these …

Online learning is gradually becoming popular with the continuous development of Internet
technology and the rapid development of educational informatization. It plays a key role in …

Along with the increasingly fast development of elearning and the transformation of the
traditional classroom, novel technology should be applied in human learning domain, that is …

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 …

The main challenge in higher education is student retention. While many methods have
been proposed to overcome this challenge, early and continuous feedback can be very …

Students learning performance prediction is a challenging task due to the dynamic, virtual
environments and the personalized needs for different individuals. To ensure that learners' …