Online Learning during Pandemic: A Study on Computer Vision Syndrome in Malaysian University Students

Mohd Fazil Jamaludin ()
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Mohd Fazil Jamaludin: Universiti Teknologi MARA, Malaysia Author-2-Name: Mohd Shafiz Saharan Author-2-Workplace-Name: Universiti Teknologi MARA, Malaysia Author-3-Name: Khairul Azfar Adzahar Author-3-Workplace-Name: Universiti Teknologi MARA, Malaysia Author-4-Name: Fatin Farazh Ya'acob Author-4-Workplace-Name: Universiti Teknologi MARA Cawangan Johor, Kampus Segamat, 85000, Segamat, Malaysia Author-5-Name: Mohd Faznor Akmar Faimi Author-5-Workplace-Name: Universiti Selangor, Shah Alam Campus, 40000, Shah Alam, Malaysia Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:

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Abstract: "Objective - This study aimed to investigate the prevalence and impact of Computer Vision Syndrome (CVS) among Malaysian university students during the COVID-19 pandemic. Methodology/Technique - The Health Belief Model (HBM) was used to understand the determinants of CVS-related health behaviors. The study enlisted the participation of 387 students from three Malaysian universities, and most respondents were Malay women under the age of 20. Findings - According to the findings, many students devote more time to digital devices for online classes and assignments, resulting in high CVS symptoms. The most frequently reported symptoms were neck pain, back pain, tired eyes, and headaches. These findings emphasize the critical need for preventative measures to reduce the risk of CVS worsening, especially given the increased use of digital devices in online education. Novelty - This study underscores the pressing need for implementing preventive measures to curtail vamong university students, particularly in the burgeoning use of digital devices in online education. Moreover, the investigation illuminates the salient CVS symptoms frequently reported by university students, thereby providing valuable insights for devising targeted interventions that can effectively alleviate the detrimental impact of CVS on their health. Type of Paper - Empirical"

Keywords: Computer vision syndrome; computer usage; online learning; students; COVID-19. (search for similar items in EconPapers)
JEL-codes: I00 I25 J24 O33 (search for similar items in EconPapers)
Pages: 9
Date: 2023-03-31
New Economics Papers: this item is included in nep-sea
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Published in Journal of Management and Marketing Review, Volume 8, Issue1

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Persistent link: https://EconPapers.repec.org/RePEc:gtr:gatrjs:jmmr312

DOI: 10.35609/jmmr.2023.8.1(4)

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