Predicting Student Performance in Online Learning: A Multidimensional Time-Series Data Analysis Approach

Z Shou, M Xie, J Mo, H Zhang - Applied Sciences, 2024 - mdpi.com
As an emerging teaching method, online learning is becoming increasingly popular among
learners. However, one of the major drawbacks of this learning style is the lack of effective …

[PDF][PDF] Comparing different oversampling methods in predicting multi-class educational datasets using machine learning techniques

MA Tariq, AB Sargano, MA Iftikhar… - Cybernetics and …, 2023 - sciendo.com
Predicting students' academic performance is a critical research area, yet imbalanced
educational datasets, characterized by unequal academic-level representation, present …

[PDF][PDF] Machine Learning-based E-Learners' Engagement Level Prediction using Benchmark Datasets

CI Eke - Machine Learning, 2023 - ijais.org
The wide adoption of e-learning especially during and after the pandemic has given rise to
the concern of learners' motivation and involvement. E-leaner engagement level recognition …

[HTML][HTML] Research on recognition and intervention of behavior sequences in virtual museum learning

X Wu, X Chen, J Zhao, T He, Y Xie, C Ma, W Wang - Plos one, 2023 - journals.plos.org
Learning in virtual museum can transcend the limits of time and space. The virtual museum
that combines expertise in different disciplines provides a virtual learning environment for …

[HTML][HTML] Utilizing random forest algorithm for early detection of academic underperformance in open learning environments

SAA Balabied, HF Eid - PeerJ Computer Science, 2023 - peerj.com
Background One of the primary benefits of Open Learning Environments (OLEs) is their
scalability. OLEs provide flexible and accessible learning opportunities to a large number of …

Student'S Interest and Opinion Towards Online Education

HSK Veguru, J Naren, Y Singam - Procedia Computer Science, 2024 - Elsevier
The paper presents a study of the interest and opinions of students regarding online
learning using a machine learning approach, as well as the evolution of different e-learning …

Enhancing the Early Prediction of Learners Performance in a Virtual Learning Environment

SRA Abdullah, A Al-Azawei - National Conference on New Trends in …, 2023 - Springer
Educational institutions have widely adopted virtual learning environments (VLEs) in
contemporary education. The limits of students' location are no longer a problem because …

Predicting Student Performance with Virtual Resources Interaction Data at Different Stages of the Course

A Martínez-Martínez, R Montoliu, I Remolar - International Conference in …, 2023 - Springer
E-learning has advantages over traditional education thanks to its flexibility and scope. This
study aims to test whether it is possible to predict students' final outcomes solely based on …

Machine learning's model-agnostic interpretability on The Prediction of Students' Academic Performance in Video-Conference-Assisted Online Learning During the …

E Miranda, M Aryuni, MI Rahmawati, SE Hiererra… - 2023 - researchsquare.com
The Covid-19 pandemic had an immediate impact on higher education. Although online
technology has made contributions to higher education, its adoption has had a significant …

The determinants of Saudi Arabians' attitudes of E-learning System using GMDH and dce-GMDH models

NN Hamadneh, JJ Jaber - The 2nd Global Trends in E-Learning …, 2023 - papers.ssrn.com
E-learning systems are considered one of the most important sustainable activities that
always need research and development. Therefore, one of the most important challenges in …