The ability to predict students academic performance in a timely manner is very important in
learning institutions [18]. Student performance prediction is an important area as it can help …

Evaluation of students' performance for the completion of courses has been a major problem
for both students and faculties during the work-from-home period in this COVID pandemic …

Educational data mining is essential to our lives, as it provides the tools for us to analyze
education-related problems and achieve better education. Particularly under COVID-19, the …

Accurately predicting students' future performance based on their tracked academic records
in college programs is crucial for effectively carrying out necessary pedagogical …

Developing tools to support students and learning in a traditional or online setting is a
significant task in today's educational environment. The initial steps toward enabling such …

While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …

Poor academic performance of students is a concern in the educational sector, especially if it
leads to students being unable to meet minimum course requirements. However, with timely …

While predictive analytics have been used in a wide range of situations, by far the most
common use of predictive analytics is to improve student retention and academic …

The prevalent issue of increased student dropouts, shared by universities worldwide, often
culminates in decreased academic performance and prolonged completion times for degree …

Educational data mining (EDM) contributes cutting-edge methodologies, strategies, and
applications to the advancement of the education system, hence playing a crucial part in its …