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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.
Abstract: The introduction of e-Learning to higher education institutions has been evolving drastically. However, the quality of e-Learning becomes a central issue in order to provide all stakeholders with the necessary confidence to compete with traditional learning methods. Risk management plays a vital role in the successful implementation of e-Learning projects and in attaining high-quality e-Learning courses. Little research has been conducted about implementing risk management in e-Learning projects. This work proposes a quality assurance framework for e-Learning projects. This framework comprises a proactive risk management model that integrates risk management into the e-Learning process. This integration helps in obtaining high-quality e-Learning courses by preventing negative e-Learning risks from being materialized. The model is verified to evaluate its effectiveness through a Renewable Energy Course that was converted from a traditional face-to-face into e-Learning course. Quantitative and qualitative measures are performed to analyze the data collected through the implementation of the project. The results show that the proposed model is managed to mitigate the majority of probable risk factors leading to high-quality e-Courses development and delivery.
Haneen Hijazi, Bashar Hammad and Ahmad Al-Khasawneh, “Modelling and Implementation of Proactive Risk Management in e-Learning Projects: A Step Towards Enhancing Quality of e-Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100531
@article{Hijazi2019,
title = {Modelling and Implementation of Proactive Risk Management in e-Learning Projects: A Step Towards Enhancing Quality of e-Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100531},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100531},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Haneen Hijazi and Bashar Hammad and Ahmad Al-Khasawneh}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.