The Impact of Using Online Device Behavior during the COVID-19 Pandemic on Eye Issues of Undergraduate Students
Keywords:
online learning, undergraduate student, eye issues, COVID-19 epidemicAbstract
The outbreak of the Coronavirus disease 2019 (COVID-19) immediately caused changes in the learning styles with the shift to online classes. Many students lacked necessary information technology skills and preparation time to be prepared for this shift which has led to increased eye strain and a higher risk of developing eye problems. Therefore, this survey research aimed to study online learning behavior, the impact of online device usage, the relationship with eye issues, and eye care guidelines among undergraduate students during the COVID-19 pandemic. The study participants were 709 undergraduate students studying sport sciences at public universities who were taking online classes who were selected using purposive sampling. The research tool used in this study was a questionnaire developed by the researchers. Content analysis was used to assess the qualitative date and the quantitative data were analyzed using descriptive statistics and Pearson Correlation coefficients. The findings revealed that the majority of university students spent an average of more than 3 hours online per study session, exceeding the recommended maximum online time of four hours per day on 5-6 days per week. As a result, symptoms of asthenopia, eyestrain, and burning eyes were reported by 74.5 percent of students with eye issues. The relationship between digital screen use and eye issues is influenced by various factors such as studying via smartphone, quick flipping to the next slide with text, text size, screen brightness, and more. Providing eye care guidelines for online classes could help decrease the occurrence of eye issues associated with the use of online digital devices.
References
ชลธิศ ดาราวงษ์. (2563). ปัจจัยด้านการยอมรับเทคโนโลยีที่มีผลต่อความพึงพอใจและผลการเรียนของนักศึกษาหลักสูตรออนไลน์ในสถาบันระดับอุดมศึกษา. วารสารวิจัยรำไพพรรณี, 14(3), 158-166.
ปาจรา โพธิหัง, พรพรรณ ศรีโสภา, และอโนชา ทัศนาธนชัย. (2559). ปัจจัยเสี่ยงของกลุ่มอาการจอภาพคอมพิวเตอร์ของบุคลากรสายการสอนในมหาวิทยาลัยบูรพา. วารสารการพยาบาลและการศึกษา 9(2), 104-119.
เรณุมาศ มาอุ่น. (2559). การจัดการเรียนการสอนในระดับอุดมศึกษาอย่างมีประสิทธิภาพ. วารสารเทคโนโลยีภาคใต้, 9(2), 169-176.
วาสนา ฬาวิน, สสิธร เทพตระการพร, และสันทณี เครือขอน. (2558). คอมพิวเตอร์วิชั่นซินโดรม: กรณีศึกษาในเด็ก 1 ราย. ธรรมศาสตร์เวชสาร, 15(1), 136-142.
อัจฉริยา วงษ์อินทร์จันทร์, จุฬาภรณ์ ตั้งภักดี, ศุภศักดิ์ วงษ์อินทร์จันทร์, สุรีพร เกียรติวงศ์ครู, และสุจิตรา คงกันกง. (2565). ความสัมพันธ์ระหว่างการใช้สื่อออนไลน์กับปัญหาสุขภาพองค์รวมของเด็กวัยเรียนในยุคไทย แลนด์ 4.0. วารสารพยาบาลสงขลานครินทร์, 42(1), 61-72.
Ahmed, S., Akter, R., Pokhrel, N., & Samuel, A. J. (2021). Prevalence of text neck syndrome and SMS thumb among smartphone users in college-going students: A cross-sectional survey study. Journal of Public Health, 29(2), 411-416. https://doi.org/10.1007/s10389-019-01139-4
Akinbinu, T. R., & Mashalla, Y. J. (2014). Impact of computer technology on health: Computer Vision Syndrome (CVS). Medical Practice and Reviews, 5(3), 20-30. https://doi.org/10.5897/MPR.2014.0121
Al-Kumaim, N. H., Alhazmi, A. K., Mohammed, F., Gazem, N. A., Shabbir, M. S., & Fazea, Y. (2021). Exploring the impact of the COVID-19 pandemic on university students’ learning life: An integrated conceptual motivational model for sustainable and healthy online learning. Sustainability, 13(5), 2546. https://doi.org/10.3390/su13052546
Bali, J., Neeraj, N., & Bali, R. T. (2014). Computer vision syndrome: A review. Journal of Clinical Ophthalmology and Research, 2(1), 61-68. http://dx.doi.org/10.4103/2320-3897.122661
Dessie, A., Adane, F., Nega, A., Wami, S. D., & Chercos, D. H. (2018). Computer vision syndrome and associated factors among computer users in Debre Tabor Town, Northwest Ethiopia. Journal of environmental and public health, 2018. https://doi.org/10.1155/2018/4107590
Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30(3), 452-465. https://doi.org/10.1007/s12528-018-9179-z
Gowrisankaran, S., & Sheedy, J. E. (2015). Computer vision syndrome: A review. Work, 52(2), 303-314. https://doi.org/10.1155/2018/4107590
Jones, I., Gratton, C., & Jones, D.I. (2014). Research methods for sports studies (3rd ed.). Routledge. https://doi.org/10.4324/9781315796222
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Kumari, S., Kumar, R., & Sharma, D. (2021). Text neck syndrome: The pain of modern era. International Journal of Health Sciences and Research, 11(11). 161-165. https://doi.org/10.52403/ijhsr.20211121
Mohan, A., Sen, P., Shah, C., Jain, E., & Jain, S. (2021). Prevalence and risk factor assessment of digital eye strain among children using online e-learning during the COVID-19 pandemic: Digital eye strain among kids (DESK study-1). Indian journal of ophthalmology, 69(1), 140-144. https://doi.org/10.4103%2Fijo.IJO_2535_20
Molea, R., & Nastasa, A. (2020). How Romanian higher education institutions have adapted to online learning process in the COVID-19 context through a student’s eye. Revista Romaneasca pentru Educatie Multidimensionala, 12(2Sup1), 175-181. https://doi.org/10.18662/rrem/12.2Sup1/304
Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of COVID-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133-141. https://doi.org/10.1177/2347631120983481
Vate-U-Lan, P. (2015). Text neck epidemic: A growing problem for smart phone users in Thailand. Retrieved from https://repository.au.edu/handle/6623004553/21259
Zhan, Z., Wu, J., Mei, H., Fong, P. S., Huang, M., & Shao, F. (2019). Gender differences in eye movements during online reading. In International Conference on Technology in Education (pp. 235-243). Springer, Singapore.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Journal of Health and Nursing Education

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The published articles are copyrighted by Journal of Health and Nursing Education.
The statements that appear in each article in this academic journal are the personal opinions of each author and are not related to the editorial team of the Journal of Health and Nursing Education or Boromarajonani College of Nursing, Nakhon Ratchasima.
Responsibility for all elements of each article belongs to the individual author. If there is any mistake each author is solely responsible for his or her own article.