When data mining techniques are used in the context of education, they can uncover hidden
knowledge and patterns that can aid in decision-making processes aimed at improving the …

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 …

Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …

Educational Institutions face numerous challenges today in providing quality and student-
centric education to students. Despite the huge volume of data available with educational …

Introduction: This article is a product of the research “Ensemble methods to estimate the
academic performance of higher education students”, developed at the Universidad Distrital …

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 …

Context: In the education sector, variables have been identified which considerably affect
students' academic performance. In the last decade, research has been carried out from …

This study employs advanced data mining techniques to investigate the DASS‐42
questionnaire, a widely used psychological assessment tool. Administered to 680 students …

Abstract Machine learning for education is an emerging discipline where a model is
developed based on training data to make predictions on students' performance. The main …

The selection of feature subsets has been broadly utilized in data mining and machine
learning tasks to produce a solution with a small number of features which improves the …