Tree-Based Ensemble Methods and Their Applications for Predicting Students' Academic Performance.

ID Ayulani, AM Yunawan… - International …, 2023 - search.ebscohost.com
Students' academic performance is a key aspect of online learning success. Online learning
applications known as Learning Management Systems (LMS) store various online learning …

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 …

Improve student performance prediction using ensemble model for higher education

H Hassan, S Anuar, NB Ahmad… - … , Tools and Techniques, 2019 - ebooks.iospress.nl
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 …

Using the Ensemble Approach, Predict Students' Achievement

A Awasthi, N Prashar - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
Pupils are the future of a country since they immediately contribute to its development and
prosperity via the information they acquire. The kids should be given all the advantages and …

[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 …

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 …

Performance Prediction of Students in Higher Education Using Multi-Model Ensemble Approach

NA Butt, Z Mahmood, K Shakeel, S Alfarhood… - IEEE …, 2023 - ieeexplore.ieee.org
Many stakeholders including students, teachers, and educational institutions, benefit from
accurately predicting student performance and facilitating data-driven policies. In this field …

[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 …

An intelligent prediction system for educational data mining based on ensemble and filtering approaches

M Ashraf, M Zaman, M Ahmed - Procedia Computer Science, 2020 - Elsevier
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

[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 …