An approach for improved students' performance prediction using homogeneous and heterogeneous ensemble methods.
E De Leon Evangelista, BD Sy - International Journal of …, 2022 - search.ebscohost.com
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 …
interaction data which can be helpful to predict students' performance through the aid of …
An approach for improved students' performance prediction using homogeneous and heterogeneous ensemble methods
E Evangelista, B Sy - International Journal of Electrical and …, 2022 - zuscholars.zu.ac.ae
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 …
interaction data which can be helpful to predict students' performance through the aid of …
Improve student performance prediction using ensemble model for higher education
In higher education institutions, the most significant issue is to improve the students'
performance and retention rate. Massive numbers of students' data are used to gain new …
performance and retention rate. Massive numbers of students' data are used to gain new …
[PDF][PDF] A comparative study of ensemble methods for students' performance modeling
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 …
prevent their students from failure by providing necessary support and counseling to …
[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …
institutions to improve results and provide personalized support of students. However, the …
HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students
SB Keser, S Aghalarova - Education and Information Technologies, 2022 - Springer
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 …
Education has been improved by analyzing educational data related to student academic …
Prediction of Student Performance with Machine Learning Algorithms Based on Ensemble Learning Methods
I Alqatow, A Rattrout, R Jayousi - International Conference on Web …, 2023 - Springer
In recent years, there has been significant interest surrounding Educational Data Mining
(EDM). Numerous data mining techniques have been proposed to uncover latent knowledge …
(EDM). Numerous data mining techniques have been proposed to uncover latent knowledge …
Predicting engineering students' academic performance using ensemble classifiers-a preliminary finding/A'zraa Afhzan Ab Rahim and Norlida Buniyamin
N Buniyamin - Journal of Electrical and Electronic Systems …, 2022 - ir.uitm.edu.my
Current literature review indicates a void of an accurate predictive tool to assist educators
and administrators in analyzing and monitoring student performance in Malaysia …
and administrators in analyzing and monitoring student performance in Malaysia …
Process-Based Multi-level Homogeneous Ensemble Predictive Model for Analysing Student's Academic Performance
M Kumar, A Jeet Singh - … : Proceedings of ICICC 2022, Volume 1, 2022 - Springer
The aim of this study is to undertake an empirical inquiry and comparison of the
effectiveness of various classifiers with ensembles classifiers in the prediction of student …
effectiveness of various classifiers with ensembles classifiers in the prediction of student …
[PDF][PDF] Evaluating Ensemble Techniques for Predicting Students' Grades Based on their Interaction with Learning Management System
UI Usman, S Aliyu, Y Abubakar… - Proceedings of: 2nd …, 2019 - researchgate.net
Ensemble classifiers have been found to be better and more accurate compared to
individual classifiers that make them up. Data mining techniques have been used by many …
individual classifiers that make them up. Data mining techniques have been used by many …