Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

The field of adaptive e-learning is continuously developing. More research is being
conducted in this area as adaptive e-learning aims to provide learners with adaptive …

Learning analytics is a form of data analysis that allows teachers, lecturers, educational
experts, and administrators of online learnings to look for students' online traces and …

Learning analytics offer unprecedented opportunities for tracking and storing learning
behaviors, thereby providing chances for optimizing learner engagement and success. The …

Performance prediction has proven to be an effective method for monitoring learning
progress, managing student performance, and enhancing teaching quality. In an effort to …

With recent technological advancements, modern educational systems adopted efficient ICT
(Information and Communication Technologies) to enhance the quality of education. Higher …

Dropout at university has become a controversial problem in recent years since the crisis
caused many severe consequences for students and universities. FPT University's (Hoa Lac …

Learning Analytics (LA) is the collection and analysis of data about learners and their
environments. University faculty are among some of the most important stakeholders in the …