Many stakeholders including students, teachers, and educational institutions, benefit from
accurately predicting student performance and facilitating data-driven policies. In this field …

Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …

Students' academic performance is a key aspect of online learning success. Online learning
applications known as Learning Management Systems (LMS) store various online learning …

In higher education institutions, the most significant issue is to improve the students'
performance and retention rate. Massive numbers of students' data are used to gain new …

In present decade, many Educational Institutions use classification techniques and Data
mining concepts for evaluating student records. Student Evaluation and classification is very …

A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …

Educational Data Mining (EDM) is a branch of data mining that focuses on extraction of
useful knowledge from data generated through academic activities at school, college or at …

In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

Pupils are the future of a country since they immediately contribute to its development and
prosperity via the information they acquire. The kids should be given all the advantages and …