Manuscript received March 30, 2022; revised April 15, 2022; accepted June 6, 2022.
Abstract—Distance learning has become common in Philippines as schools have started to cater to online education due to the outbreak of COVID-19. E-learning has been adapted to provide learning materials and train students over the Internet. However, for people with impairments such as hearing and vision, this can be a problem. With this situation, the study developed an e-learning application with an assistive laboratory for assessments, specifically for college students. The subject matter used for the developed system is cybersecurity. cybersecurity is now one of the most in-demand courses due to the rising cases of cyberattacks. The developed system allows students to learn cybersecurity and conduct laboratory exercises in a virtual machine with text-to-speech and closed-caption technology. The study used two post-tests in a controlled group of respondents to determine if the developed system accommodates online cybersecurity learning compared to the traditional learning methods available. Comparing scores from the first group who used the developed system to the second group who used the current learning methods shows that the former received higher scores and has deemed the developed system. The developed system that has presented a guided cybersecurity learning scenario is more effective than current learning methods. Security testing was applied in this study to identify potential vulnerabilities and possible security risks in e-learning systems like this.
Index Terms—Assistive technology, security testing, virtual machine, speech-to-text, cybersecurity course
The authors are with School of Information Technology, Mapua University, Philippines.
*Correspondence: mjcsamonte@yahoo.com (M.J.C.S.)
Cite: Mary Jane C. Samonte*, Kevin Nicholas U. Banganay, Karen E. Fernandez, and Jameela Nadine D. Jamena, "CyLearn: An Assistive Web-Based e-Learning System for Cybersecurity Skills Course," International Journal of Information and Education Technology vol. 13, no. 6, pp. 932-941, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).