Early course-level study performance prediction is a significant educational data mining task
to forecast the success of each current student in a course using the historical data of the …

Accurately predicting students' future performance based on their ongoing academic records
is crucial for effectively carrying out necessary pedagogical interventions to ensure students' …

Nationally, the six year graduation rate for four year degree programs at universities and
colleges in the United States has remained approximately 60% over the past decade. One of …

This dissertation was written as a part of the MSc in Data Science at the International
Hellenic University of Thessaloniki, Greece. Nowadays, especially with the recent rise of …

Machine learning algorithms are increasingly being used in today's society. However,
growth in these algorithms means growth in algorithmic bias, and it is imperative that we …

Student performance prediction is a relevant topic to schools and universities. By this
means, they can act preventively and, also, allocate resources more accurately when at-risk …

The ability to predict a student's performance could be useful in a great number of different
ways associated with university-level distance learning. Students' marks in a few written …

This paper defines 5 key dimensions of student models: whether and how they model time,
skill, noise, latent traits, and multiple influences on student performance. We use this …

The sudden advent of COVID-19 pandemic left educational institutions in a difficult situation
for the semester evaluation of students; especially where the online participation was difficult …

The interest in predicting online learning performance using ML algorithms has been
steadily increasing. We first conducted a scientometric analysis to provide a systematic …