STUDENT WELLBEING IN THE DIGITAL AGE: A REVIEW ON EXAMINING REMOTE LEARNING'S IMPACT ON MENTAL HEALTH AND ENGAGEMENT AMIDST COVID-19

Authors

DOI:

https://doi.org/10.31435/ijitss.3(51).2026.6095

Keywords:

Digital Fatigue, Zoom Fatigue, Distance Learning, Mental Health, Digital Wellbeing

Abstract

Introduction The COVID-19 pandemic necessitated a rapid transition to remote learning, which introduced the significant issue of digital fatigue among students. This article aims to explore how digital fatigue affected students' mental health and engagement throughout the pandemic.

Material and Methods The research involved a comprehensive review of academic papers published between 2020 and 2025, sourced from PubMed and Google Scholar.

Aim Remote learning significantly increased students' screen time, leading to digital fatigue, characterized by exhaustion, decreased motivation, and concentration difficulties. Contributing factors included excessive screen exposure, technology overload, and limited social interaction. The consequences observed were detriment to mental health and a decline in academic engagement.

Summary Studies consistently report high levels of digital fatigue among students, primarily driven by prolonged screen time and technology overload. This fatigue is linked to reduced engagement, lower motivation, and heightened stress and anxiety. To counter these negative effects, strategies promoting breaks and balance in online learning are recommended. Further research is essential to understand the long-term impacts and the efficacy of various interventions. This article also emphasizes the importance of personalized approaches to online education, acknowledging individual differences in managing digital fatigue. It underscores the vital role of educators and institutions in fostering supportive environments that enhance student resilience and overall well-being. The findings highlight the need for integrated strategies—combining technological, psychological, and social interventions—to effectively address the challenges of digital fatigue.

References

Amponsah, S., van Wyk, M. M., & Kolugu, M. K. (2022). Academic experiences of “Zoom-fatigue” as a virtual streaming phenomenon during the COVID-19 pandemic. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 17(6), 1–16. https://doi.org/10.4018/IJWLTT.287555

Bailenson, J. N. (2021). Nonverbal overload: A theoretical argument for the causes of Zoom fatigue. Technology, Mind, and Behavior, 2(1). https://doi.org/10.1037/tmb0000030

Sarangal, R. K., & Nargotra, M. (2022). Digital fatigue among students in current Covid-19 pandemic: A study of higher education. Gurukul Business Review, 18(1). https://doi.org/10.48205/gbr.v18.5

Seresirikachorn, K., Thiamthat, W., Sriyuttagrai, W., Soonthornworasiri, N., Singhanetr, P., Yudtanahiran, N., & Theeramunkong, T. (2022). Effects of digital devices and online learning on computer vision syndrome in students during the COVID-19 era: An online questionnaire study. BMJ Paediatrics Open, 6(1), e001429. https://doi.org/10.1136/bmjpo-2022-001429

Thomas, B., Pattinson, R., Edwards, D., Dale, C., Jenkins, B., Lande, H., Bundy, C., & Davies, J. (2024). Defining and measuring long COVID fatigue: A scoping review. BMJ Open, 14(12), e088530. https://doi.org/10.1136/bmjopen-2024-088530

Labrague, L. J., De Los Santos, J. A. A., & Falguera, C. C. (2021). Social and emotional loneliness among college students during the COVID-19 pandemic: The predictive role of coping behaviors, social support, and personal resilience. Perspectives in Psychiatric Care, 57(4), 1578–1584. https://doi.org/10.1111/ppc.12721

Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, 7(6), 547–560. https://doi.org/10.1016/S2215-0366(20)30168-1

Charoenporn, V., Hanvivattanakul, S., Jongmekwamsuk, K., Lenavat, R., Hanvivattanakul, K., & Charernboon, T. (2024). Zoom fatigue related to online learning among medical students in Thailand: Prevalence, predictors, and association with depression. F1000Research, 13, 617. https://doi.org/10.12688/f1000research.146084.2

Hawkley, L. C. (2022). Loneliness and health. Nat Rev Dis Primers, 8, 22. https://doi.org/10.1038/s41572-022-00355-9

McNeill, R., Marshall, R., Fernando, S. A., Harrison, O., & Machado, L. (2025). COVID-19 may enduringly impact cognitive performance and brain haemodynamics in undergraduate students. Brain, Behavior, and Immunity, 125, 58–67. https://doi.org/10.1016/j.bbi.2024.12.002

Small, G. W., Lee, J., Kaufman, A., Jalil, J., Siddarth, P., Gaddipati, H., Moody, T. D., & Bookheimer, S. Y. (2020). Brain health consequences of digital technology use. Dialogues in Clinical Neuroscience, 22(2), 179–187. https://doi.org/10.31887/DCNS.2020.22.2/gsmall

Reed, H. C. (2022). E-learning fatigue and the cognitive, educational, and emotional impacts on communication sciences and disorders students during COVID-19. Perspectives of the ASHA Special Interest Groups, 7(6), 1885–1902. https://doi.org/10.1044/2022_persp-22-00049

de Barros, E. C. (2024). Understanding the influence of digital technology on human cognitive functions: A narrative review. IBRO Neuroscience Reports, 17, 415–422. https://doi.org/10.1016/j.ibneur.2024.11.006

Bird, L. J., McCabe, M., Lim, Y. Y., & Cornish, K. (2023). Prevalence and correlates of subjective cognitive concerns in Australian university students during the COVID-19 pandemic. Frontiers in Psychology, 13, 1094497. https://doi.org/10.3389/fpsyg.2022.1094497

Legault, L. (2017). Self-determination theory. In V. Zeigler-Hill & T. Shackelford (Eds.), Encyclopedia of personality and individual differences. Springer. https://doi.org/10.1007/978-3-319-28099-8_1162-1

Pelikan, E. R., Lüftenegger, M., Holzer, J., et al. (2021). Learning during COVID-19: The role of self-regulated learning, motivation, and procrastination for perceived competence. Z Erziehungswiss, 24, 393–418. https://doi.org/10.1007/s11618-021-01002-x

Gustiani, S. (2020). Students’ motivation in online learning during Covid-19 pandemic era: A case study. Holistics, 12(2), 23–40.

Chiu, T. K. F., Lin, T. J., & Lonka, K. (2021). Motivating online learning: The challenges of COVID-19 and beyond. Asia-Pacific Edu Res, 30, 187–190. https://doi.org/10.1007/s40299-021-00566-w

Gustiani, S., Ardiansyah, W., & Simanjuntak, T. (2022). Motivation in online learning amidst Covid-19 pandemic era: Students’ intrinsic and extrinsic factors. Proceedings of the 5th FIRST T3 2021 International Conference (FIRST-T3 2021). https://doi.org/10.2991/assehr.k.220202.029

Zhou, M. (2022). Students’ motivation in distance learning: How it would be affected and why it matters? Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022). https://doi.org/10.2991/978-2-494069-89-3_119

Lopez, R. M., & Tadros, E. (2023). Motivational factors for undergraduate students during COVID-19 remote learning. Family Journal (Alexandria, Va.), 10664807231163245. https://doi.org/10.1177/10664807231163245

Cardoso-Júnior, A., & Faria, R. M. D. (2022). Impact of the COVID-19 pandemic on students' motivation in relation to asynchronous anatomy video lectures. Medical Science Educator, 33(1), 119–128. https://doi.org/10.1007/s40670-022-01714-7

Yahiaoui, F., Aichouche, R., Chergui, K., Brika, S. K. M., Almezher, M., Musa, A. A., & Lamari, I. A. (2022). The impact of e-learning systems on motivating students and enhancing their outcomes during COVID-19: A mixed-method approach. Frontiers in Psychology, 13, 874181. https://doi.org/10.3389/fpsyg.2022.874181

Aristovnik, A., Keržič, D., Ravšelj, D., Tomaževič, N., & Umek, L. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability, 12(20), 8438. https://doi.org/10.3390/su12208438

Elmer, T., Mepham, K., & Stadtfeld, C. (2020). Students under lockdown: Comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. PLoS ONE, 15(7), e0236337. https://doi.org/10.1371/journal.pone.0236337

Davis, N., Roblyer, M. D., Charania, A., Ferdig, R., Harms, C., Compton, L., & Cho, M. O. (2021). Digital fatigue in higher education during the COVID-19 pandemic: A systematic review. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-021-10615-3

Tomasik, M. J., Helbling, L. A., & Moser, U. (2021). Educational gains of in-person vs. distance learning in primary and secondary schools: A natural experiment during the COVID-19 pandemic school closures in Switzerland. International Journal of Psychology, 56(4), 566–576. https://doi.org/10.1002/ijop.12728

Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020). How parents and their children used social media and technology at the beginning of the COVID-19 pandemic and associations with anxiety. Cyberpsychology, Behavior, and Social Networking, 23(11), 727–736. https://doi.org/10.1089/cyber.2020.0284

Sahu, P. (2020). Closure of universities due to coronavirus disease 2019 (COVID-19): Impact on education and mental health of students and academic staff. Cureus, 12(4), e7541. https://doi.org/10.7759/cureus.7541

Aguayo, J., Coelho, J. P., & Da Silva, F. S. (2020). Motivation and learning strategies in the context of distance learning during the COVID-19 pandemic. Education Sciences, 10(12), 364. https://doi.org/10.3390/educsci10120364

Wiederhold, B. K. (2020). Connecting through technology during the coronavirus disease 2019 pandemic: Avoiding “Zoom fatigue”. Cyberpsychology, Behavior, and Social Networking, 23(7), 437–438. https://doi.org/10.1089/cyber.2020.29188.bkw

Lee, J. (2020). Mental health effects of school closures during COVID-19. The Lancet Child & Adolescent Health, 4(6), 421. https://doi.org/10.1016/S2352-4642(20)30109-7

Fauville, G., Luo, M., Queiroz, A. C. M., Bailenson, J. N., & Hancock, J. (2021). Nonverbal mechanisms predict Zoom fatigue and explain why women experience higher levels than men. SSM-Mental Health, 1, 100019. https://doi.org/10.2139/ssrn.3820035

Day, T., Chang, I. C. C., Chung, C. K. L., Doolittle, P. E., Housel, J., & McDaniel, P. N. (2021). The immediate impact of COVID-19 on postsecondary teaching and learning. The Professional Geographer, 73(1), 13. https://doi.org/10.1080/00330124.2020.1823864

MacIntyre, P. D., Gregersen, T., & Mercer, S. (2020). Language teachers’ coping strategies during the COVID-19 conversion to online teaching: Correlations with stress, wellbeing and negative emotions. System, 94, 102352. https://doi.org/10.1016/j.system.2020.102352

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Published

2026-09-18

How to Cite

Kowalik, P., Kowalik, J., Krzyżanowska, D., Kozłowska, I., Jankowska, M., Czampiel, M., Borodacz, J., Jaguś, J., Kargulewicz, P., & Rutkowska, M. (2026). STUDENT WELLBEING IN THE DIGITAL AGE: A REVIEW ON EXAMINING REMOTE LEARNING’S IMPACT ON MENTAL HEALTH AND ENGAGEMENT AMIDST COVID-19. International Journal of Innovative Technologies in Social Science, 4(3(51). https://doi.org/10.31435/ijitss.3(51).2026.6095

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