Predicting the educational performance of students turns into more complex aspect due to
the vast data volume in the database. The conventional systems have failed to analyze and …

Student‟ s performance is the most important value of the educational institutes for their
competitiveness. In order to improve the value, they need to predict student‟ s performance …

The need for advancement in e-learning technology causes educational data to become
very huge and increase rapidly. The data is generated on daily basis as a result of …

Educational data mining has gained popularity due to its ability to provide useful knowledge
hidden in data of students' records for better educational decision-making support. During …

Students learning performance is one of the core components for assessing any educational
systems. Students performance is very crucial in tackling issues of learning process and one …

Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …

The educational system measures students' performance using varied assessment methods
such as quizzes, tests, examinations and assignments. Academic performance along with …

Reliable prediction of individual learning performance can facilitate timely support to
students and improve the learning experience. In this study, two well‐known machine …

Forecasting student performance, sorting students into groups according to their strengths,
and working to improve future test scores are all crucial for any institution in today's …