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 …

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 …

In recent years, schools have shown interest in utilizing data mining to improve the quality of
education. To enhance academic performance, accurately predicting how students will …

Analyzing and evaluating students' progress in any learning environment is stressful and
time consuming if done using traditional analysis methods. This is further exasperated by the …

For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …

With the COVID-19 outbreak, schools and universities have massively adopted online
learning to ensure the continuation of the learning process. However, in such setting …

Predicting the performance of students is one of the most important topics required for
learning contexts such as colleges and universities, as it helps to design successful …

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 …

Educational data mining involves finding patterns in educational data which can be obtained
from various e-learning systems or can be gathered using traditional surveys. In this paper …

This paper outlines a multi-source data-driven solution to the problem of early predication of
academic success of students on a Software Development programme which is delivered in …