[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 …

Predicting academic performance of engineering students using ensemble method

TB Bithari, S Thapa, KC Hari - Technical Journal, 2020 - nepjol.info
One of the common problems that most of the engineering institutions face in recent times is
poor academic results. The statistics of the IOE semester result show that since 2009 AD, 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 …

[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 …

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 …

Predicting student academic performance using multi-model heterogeneous ensemble approach

OW Adejo, T Connolly - Journal of Applied Research in Higher …, 2018 - emerald.com
Purpose The purpose of this paper is to empirically investigate and compare the use of
multiple data sources, different classifiers and ensembles of classifiers technique in …

[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 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] Student academic performance prediction using supervised learning techniques.

M Imran, S Latif, D Mehmood… - International Journal of …, 2019 - academia.edu
Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …