Students' academic performance analysis and prediction activities enable the educators to
prevent their students from failure by providing necessary support and counseling. With this …

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

Student performance prediction is a great area of concern for educational institutions to
prevent their students from failure by providing necessary support and counseling to …

Web-based learning technologies of educational institutions store a massive amount of
interaction data which can be helpful to predict students' performance through the aid of …

Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …

One of the common problems that most of the engineering institutions face in recent times is
poor academic results. The statistics of the IOE semester result show that since 2009 AD, the …

The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

Abstract Applying Data Mining (DM) in education is an emerging interdisciplinary research
field also known as Educational Data Mining (EDM). Ensemble techniques have been …

The knowledge obtained from data can be useful for the improvement of education systems,
giving rise to a research space called Educational Data Mining (EDM). EDM covers the …

The purpose of this study is to conduct an empirical investigation and comparison of the
effectiveness of various classifiers and ensembles of classifiers in predicting academic …