[PDF][PDF] Utilization of ensemble techniques for prediction of the academic performance of students
SSM Ajibade, J Dayupay, DL Ngo-Hoang… - Journal of …, 2022 - researchgate.net
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 …
knowledge and patterns that can aid in decision-making processes aimed at improving the …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …
data mining techniques are proposed to extract the hidden knowledge from educational …
An efficient use of ensemble methods to predict students academic performance
Application of data mining techniques in an educational background can discover hidden
knowledge and patterns that will support in decision-making processes for improving the …
knowledge and patterns that will support in decision-making processes for improving the …
[HTML][HTML] Intelligent decision support system for predicting student's e-learning performance using ensemble machine learning
Electronic learning management systems provide live environments for students and faculty
members to connect with their institutional online portals and perform educational activities …
members to connect with their institutional online portals and perform educational activities …
Systematic ensemble model selection approach for educational data mining
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 …
performance in order to support their development. Many institutions are focused on …
[PDF][PDF] Predict students' academic performance based on their assessment grades and online activity data
The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …
that aims to improve their students' learning process and achievement. Although students' …
An intelligent prediction system for educational data mining based on ensemble and filtering approaches
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …
prediction paradigms. The ensemble learning techniques are typically more accurate than …
A machine learning algorithm framework for predicting students performance: A case study of baccalaureate students in Morocco
A Qazdar, B Er-Raha, C Cherkaoui… - Education and Information …, 2019 - Springer
The use of machine learning with educational data mining (EDM) to predict learner
performance has always been an important research area. Predicting academic results is …
performance has always been an important research area. Predicting academic results is …
[HTML][HTML] Educational data mining: prediction of students' academic performance using machine learning algorithms
M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …
in educational data and predicting students' academic achievements. This study proposes a …
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …
years, with many institutions focusing on improving the students' performance and the …