[HTML][HTML] Two-layer ensemble prediction of students' performance using learning behavior and domain knowledge

SA Priyambada, T Usagawa… - Computers and Education …, 2023 - Elsevier
The ability to predict students' performance is important not only for the students but also for
academic stakeholders in higher education institutes. Predictions can be made by using …

Progressive prediction of student performance in college programs

J Xu, Y Han, D Marcu, M Van Der Schaar - Proceedings of the AAAI …, 2017 - ojs.aaai.org
Accurately predicting students' future performance based on their tracked academic records
in college programs is crucial for effectively carrying out necessary pedagogical …

[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 …

[HTML][HTML] Predicting academic performance using an efficient model based on fusion of classifiers

A Siddique, A Jan, F Majeed, AI Qahmash, NN Quadri… - Applied Sciences, 2021 - mdpi.com
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

[HTML][HTML] Multi-Output Based Hybrid Integrated Models for Student Performance Prediction

H Xue, Y Niu - Applied Sciences, 2023 - mdpi.com
In higher education, student learning relies increasingly on autonomy. With the rise in
blended learning, both online and offline, students need to further improve their online …

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 …

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 …

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Multi-model stacking ensemble learning for student achievement prediction

T Fang, S Huang, Y Zhou… - 2021 12th International …, 2021 - ieeexplore.ieee.org
Educational data mining has always been a direction of big data applications, among which
the student achievement prediction is one of the research focuses. The research has two …

[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 …