Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Artificial neural network analysis of the academic performance of students in virtual learning environments

A Rivas, A Gonzalez-Briones, G Hernandez, J Prieto… - Neurocomputing, 2021 - Elsevier
Educational institutions continually strive to improve the services they offer, their aim is to
have the best possible teaching staff, increase the quality of teaching and the academic …

A two-phase machine learning approach for predicting student outcomes

O Iatrellis, IΚ Savvas, P Fitsilis… - Education and Information …, 2021 - Springer
Learning analytics have proved promising capabilities and opportunities to many aspects of
academic research and higher education studies. Data-driven insights can significantly …

[PDF][PDF] A systematic literature review on student performance predictions

H Nawang, M Makhtar, WM Hamzah - International Journal of …, 2021 - researchgate.net
Prediction of student performance in educational institutions is a major topic of debate
among researchers in efforts to improve teaching and learning. Effective prediction …

Using decision trees and random forest algorithms to predict and determine factors contributing to first-year university students' learning performance

TT Huynh-Cam, LS Chen, H Le - Algorithms, 2021 - mdpi.com
First-year students' learning performance has received much attention in educational
practice and theory. Previous works used some variables, which should be obtained during …

Visual-predictive data analysis approach for the academic performance of students from a Peruvian University

D Orrego Granados, J Ugalde, R Salas, R Torres… - Applied Sciences, 2022 - mdpi.com
The academic success of university students is a problem that depends in a multi-factorial
way on the aspects related to the student and the career itself. A problem with this level of …

[HTML][HTML] Evaluation of postgraduate academic performance using artificial intelligence models

Y Baashar, Y Hamed, G Alkawsi, LF Capretz… - Alexandria Engineering …, 2022 - Elsevier
Institutions of higher learning are currently facing the challenging task of attracting new
students who can effectively meet their diverse academic demands. With these demands …

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 …

Predicting student performance to improve academic advising using the random forest algorithm

M Nachouki, M Abou Naaj - International Journal of Distance …, 2022 - igi-global.com
The Covid-19 pandemic constrained higher education institutions to switch to online
teaching, which led to major changes in students' learning behavior, affecting their overall …

Learning performance of international students and students with disabilities: early prediction and feature selection through educational data mining

TT Huynh-Cam, LS Chen, KV Huynh - Big Data and Cognitive Computing, 2022 - mdpi.com
The learning performance of international students and students with disabilities has
increasingly attracted many theoretical and practical researchers. However, previous studies …