Dropout in online higher education: a systematic literature review

AM Rahmani, W Groot, H Rahmani - International Journal of Educational …, 2024 - Springer
The increased availability of technology in higher education has led to the growth of online
learning platforms. However, a significant concern exists regarding dropout rates in online …

Time series analysis for education: Methods, applications, and future directions

S Mao, C Zhang, Y Song, J Wang, XJ Zeng… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …

Improved students' performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining

H Hassan, NB Ahmad, S Anuar - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Among the problems raised in the data mining area, the class imbalance is a well-known
issue that always occurs. Many researchers studied this issue in several fields using three …

A Critical Review of Data Mining for Education: What has been done, what has been learnt and what remains to be seen

I Papadogıannıs, V Poulopoulos… - International Journal of …, 2020 - dergipark.org.tr
This article provides a thorough review of educational data mining (EDM) in the period 2015-
2019. Going beyond earlier review works, in this article we examine previous research from …

Educational anomaly analytics: features, methods, and challenges

T Guo, X Bai, X Tian, S Firmin, F Xia - Frontiers in big Data, 2022 - frontiersin.org
Anomalies in education affect the personal careers of students and universities' retention
rates. Understanding the laws behind educational anomalies promotes the development of …

Combination prediction method of students' performance based on ant colony algorithm

H Xu, M Kim - Plos one, 2024 - journals.plos.org
Students' performance is an important factor for the evaluation of teaching quality in
colleges. The prediction and analysis of students' performance can guide students' learning …

[PDF][PDF] A review on the prediction of students' academic performance using ensemble methods.

LE Contreras Bravo, JA Caro Silva… - Ingeniería …, 2022 - revistas.ucc.edu.co
Introduction: This article is a product of the research “Ensemble methods to estimate the
academic performance of higher education students”, developed at the Universidad Distrital …

Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge

M Azzeh, AM Altamimi, M Albashayreh… - arXiv preprint arXiv …, 2022 - arxiv.org
This study examines the effect of adopting cybersecurity concepts on the IT curriculum and
determines the potential effect on students' knowledge of cybersecurity practices and level of …

An intelligent rule-oriented framework for extracting key factors for grants scholarships in higher education

Y Alshamaila, H Alsawalqah, M Habib… - … Journal of Data and …, 2024 - m.growingscience.com
Education is a fundamental sector in all countries, where in some countries students com-
pete to get an educational grant due to its high cost. The incorporation of artificial intelli …

A Novel Approach Based on Fuzzy Rule and LSOWL–CNN Forecasting Students with Dropout Prediction and Recommendation Model

B Marina, A Senthilrajan - Wireless Personal Communications, 2024 - Springer
The main goal of governments is to guarantee that every individual worldwide, regardless of
disability, have access to education. However, learners with disabilities exhibit higher rates …