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 …

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 …

[PDF][PDF] A comparative study of ensemble methods for students' performance modeling

M Pandey, S Taruna - International Journal of Computer Applications, 2014 - Citeseer
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 …

[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling

AA Nafea, M Mishlish, AMS Shaban, MM AL-Ani… - Iraqi Journal For …, 2023 - iasj.net
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …

[PDF][PDF] Machine learning algorithms and ensemble technique to improve prediction of students performance

R Singh, S Pal - International Journal of Advanced Trends in …, 2020 - academia.edu
Measuring Student's performance is necessary for the mordent society. Applications of
Machine learning algorithms increased the growth in various fields like disease prediction …

[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods

EA Amrieh, T Hamtini, I Aljarah - International journal of database …, 2016 - evo-ml.com
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 …

[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques

M Ragab, AMK Abdel Aal, AO Jifri… - … and Mobile Computing, 2021 - Wiley Online Library
Student performance prediction is extremely important in today's educational system.
Predicting student achievement in advance can assist students and teachers in keeping …

An ensemble-based decision support system for the students' academic performance prediction

M Pandey, S Taruna - ICT Based Innovations: Proceedings of CSI 2015, 2018 - Springer
Students' academic performance analysis and prediction activities enable the educators to
prevent their students from failure by providing necessary support and counseling. With this …

[PDF][PDF] Stacking technique for academic achievement prediction

N Chanamarn, K Tamee, P Sittidech - Int. Work. Smart Info-Media …, 2016 - researchgate.net
This paper focuses on presenting the benefits of a stacking technique, an ensemble method,
for academic achievement prediction. The data for this study consisted of students' grades in …

[PDF][PDF] A novel hybrid approach of Adaboostm2 algorithm and differential evolution for prediction of student performance

SSM Ajibade, NBB Ahmad… - International Journal of …, 2019 - academia.edu
The prediction of performance of student is a very important task for institutions of higher
learning. The academic performance of students aids the teachers, instructors and …