Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …

Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

Data mining methodology can analyze relevant information results and produce different
perspectives to understand more about the students' activities. When designing an …

Educational systems need innovative ways to improve quality of education to achieve the
best results and decrease the failure rate. Educational Data Mining (EDM) has boomed in …

Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …

Purpose This paper aims to evaluate educational data mining methods to increase the
predictive accuracy of student academic performance for a university course setting. Student …

Educational organizations are unique and play utmost significant role for the development of
any country. As Education transforms the lives of individuals, families, communities …

Many educational institutions use data mining for maintaining the student records,
specifically academic performances, which are more significant. The academic …