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 …

The use of machine learning and data mining in the educational field to predict student
performance, known as educational data mining, which has always been an important study …

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 …

During the last decades, in the area of machine learning and data mining, the development
of ensemble methods has gained a significant attention from the scientific community …

The presented work is a student marks and grade prediction system using supervised
machine learning techniques, the system is developed on the historic performance of …

The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …

Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Ensemble learning is an imperative study in the domain of machine learning. Over the
previous years, ensemble learning has drawn considerable attention in the field of artificial …

In recent years, ensemble learning has sparked a lot of interest in the fields of machine
learning. In a variety of issue areas domains and real-world applications, recently ensemble …

Many research studies have investigated ensemble learning. However, these research
studies proposed an approach for improving the ensemble learning. We propose the …