The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …

Purpose Many higher education institutions are investigating the possibility of developing
predictive student success models that use different sources of data available to identify …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

Predictive analytics in higher education has become increasingly popular in recent years
with the growing availability of educational big data. Particularly, a wealth of student activity …

The accurate estimation of students' grades in future courses is important as it can inform the
selection of next term's courses and create personalized degree pathways to facilitate …

This study presents a model for the early identification of students who are likely to fail in an
academic course. To enhance predictive accuracy, sentiment analysis is used to identify …

Course instructors need to be able to identify students in need of assistance as early in the
course as possible. Recent work has suggested that machine learning approaches applied …

The broadening adoption of technology enhanced learning environments has substantially
altered the manner in which educational communication takes place, with most people …

This article proposes two innovative approaches, the one-channel learning image
recognition and the three-channel learning image recognition, to convert student's course …

With the development of big data technology, creating the 'Digital Campus' is a hot issue. For
an increasing amount of data, traditional data mining algorithms are not suitable. The …