International Journal of Research and Innovation in Social Science (IJRISS)
Optimizing Prevention Strategies for Computer Vision Syndrome in Malaysia’s Digital Learning Environment
Published November 19, 2025 • Vol. 9, Issue 10, pp. 7275–7281Open Access
DOI: 10.47772/IJRISS.2025.910000592
Abstract
This study investigates prevention strategies for Computer Vision Syndrome (CVS) among university students in Malaysia during the COVID-19 pandemic, a period of heightened digital device usage. A survey was conducted with 387 students from UiTM Kedah, UiTM Johor, and Universiti Selangor, selected via convenience sampling. Data was gathered using online questionnaires to assess CVS symptoms and the preventive measures employed by students. The findings revealed that 57.9% of students reported CVS symptoms after 5-6 hours of computer use, while 30% experienced symptoms in less than 5 hours. A significant 85% indicated that CVS negatively impacted their lifestyle and eye health. Adjusting screen brightness emerged as the most effective preventive measure (mean score 3.94), while using eye drops was the least effective (mean score 2.12). Taking breaks (mean score 3.46) and maintaining proper posture (mean score 3.35) were moderately effective and commonly practiced. This study contributes to the understanding of CVS prevention by highlighting the relative effectiveness of various strategies and underscoring the importance of institutional support in fostering a healthier digital learning environment. The findings emphasize the need for comprehensive interventions, including ergonomic adjustments and educational programs on proper technology use, to mitigate CVS symptoms. Implementing proactive interventions, such as enhancing ergonomic support and providing education on optimal technology usage, may significantly alleviate the symptoms of CVS. This study advances body of literature by demonstrating the relative efficacy of various preventive strategies and emphasizing the pivotal role of institutional support in safeguarding student well-being within an increasingly digitalized educational landscape.
Keywords: Computer vision syndrome; preventive measures; online learning; digital learning; COVID-19
| Journal | International Journal of Research and Innovation in Social Science (IJRISS) |
|---|---|
| ISSN | 2454-6186 |
| Volume / Issue | Volume 9, Issue 10 |
| Pages | 7275–7281 |
| Publication date | November 19, 2025 |
| DOI | 10.47772/IJRISS.2025.910000592 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Mohd Fazil Jamaludin, Khairul Azfar Adzahar, Mohd Shafiz Saharan, Fatin Farazh Ya’acob, & Mohd Faznor Akmar Faimi (2025). Optimizing Prevention Strategies for Computer Vision Syndrome in Malaysia’s Digital Learning Environment. International Journal of Research and Innovation in Social Science (IJRISS), 9(10), 7275-7281. https://doi.org/10.47772/IJRISS.2025.910000592
BibTeX
@article{Mohd2025,
title = {Optimizing Prevention Strategies for Computer Vision Syndrome in Malaysia’s Digital Learning Environment},
author = {Mohd Fazil Jamaludin and Khairul Azfar Adzahar and Mohd Shafiz Saharan and Fatin Farazh Ya’acob and Mohd Faznor Akmar Faimi},
journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
volume = {9},
number = {10},
pages = {7275--7281},
year = {2025},
doi = {10.47772/IJRISS.2025.910000592},
publisher = {RSIS International}
}