Digital Fatigue among Students in Higher Education: Effects on Online Arabic Learning and Coping Strategies
DOI:
https://doi.org/10.18326/lisania.v9i2.332-355Keywords:
Arabic Language Learning, Coping Strategies, Digital Fatigue, Higher Education, Online ClassesAbstract
This study explores symptoms of digital fatigue among students and its impact on the effectiveness of online Arabic learning in higher education, while also identifying learners’ coping strategies. Using a mixed-methods exploratory design, participants were students of an Arabic Language Education program at a state university in Jambi Province, selected through purposive sampling. Data were collected through semi-structured interviews, online class observations, an adapted Fatigue Assessment Scale (FAS), and LMS documentation. Qualitative data were analyzed using the Miles and Huberman model, while quantitative data were processed descriptively. The findings show that digital fatigue manifested as visual strain when reading Arabic texts, decreased focus during synchronous sessions, and weak vocabulary retention due to limited oral interaction. These symptoms reduced learning effectiveness, reflected in low participation, shallow text engagement, and irregular task submission. Students developed coping strategies such as balancing online–offline study routines, rewriting notes manually, using supportive applications, peer collaboration, and relying on lecturer flexibility. The study concludes that effective online Arabic instruction requires alignment between pedagogical design, cognitive load management, and social connectedness, and recommends integrating microlearning, retrieval practice, and community-based learning to reduce digital fatigue and sustain engagement.
References
Agyapong, B., Obuobi-Donkor, G., Burback, L., & Wei, Y. (2022). Stress, burnout, anxiety, and depression among teachers: A scoping review. International Journal of Environmental Research and Public Health, 19(17), 10706. https://doi.org/10.3390/ijerph191710706
Andersen, J. F. (1979). Teacher Immediacy as a Predictor of Teaching Effectiveness. Annals of the International Communication Association, 3(1), 543–559. https://doi.org/10.1080/23808985.1979.11923782
Anmarkrud, Ø., Andresen, A., & Bråten, I. (2019). Cognitive load and working memory in multimedia learning: Conceptual and measurement issues. Educational Psychologist, 54(2), 61–83. https://doi.org/10.1080/00461520.2018.1554484
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Bao, W. (2020). COVID‐19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2(2), 113–115. https://doi.org/10.1002/hbe2.191
Boumalek, K., Bakki, A., El Mezouary, A., Hmedna, B., & Eddahibi, M. (2025). Micro-learning design and micro-course structuring: a systematic literature review. Interactive Learning Environments, 1–27. https://doi.org/10.1080/10494820.2025.2545955
Bradbury, N. A. (2016). Attention span during lectures: 8 seconds, 10 minutes, or more? Advances in Physiology Education, 40(4), 509–513. https://doi.org/10.1152/advan.00109.2016
Camilleri, M. A., & Camilleri, A. C. (2022). The acceptance of learning management systems and video conferencing technologies: Lessons learned from COVID-19. Technology, Knowledge and Learning, 27(4), 1311–1333. https://doi.org/10.1007/s10758-021-09561-y
Cholili, A. H., & Hamim, H. (2024). Attentional distraction in app-based language learning with mobile phones: a literature review. J-Simbol: Jurnal Magister Pendidikan Bahasa Dan Sastra Indonesia, 12(2), 478–493. https://doi.org/10.23960/J-Simbol
Conrad, C., Deng, Q., Caron, I., Shkurska, O., Skerrett, P., & Sundararajan, B. (2022). How student perceptions about online learning difficulty influenced their satisfaction during Canada's Covid‐19 response. British Journal of Educational Technology, 53(3), 534–557. https://doi.org/10.1111/bjet.13206
Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research (3rd ed.). Thousand Oaks, CA: SAGE Publications.
Denzin, N. K. (2012). Triangulation 2.0. Journal of Mixed Methods Research, 6(2), 80–88. https://doi.org/10.1177/1558689812437186
Downes, S. (2012). Connectivism and connective knowledge: Essays on meaning and learning networks. Ottawa: National Research Council Canada.
Evans, P., Vansteenkiste, M., Parker, P., Kingsford-Smith, A., & Zhou, S. (2024). Cognitive load theory and its relationships with motivation: A self-determination theory perspective. Educational Psychology Review, 36(1), 1–25. https://doi.org/10.1007/s10648-023-09841-2
Fiorella, L., & Mayer, R. E. (2015). Learning as a generative activity: Eight learning strategies that promote understanding. Cambridge, England: Cambridge University Press.
Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. Proceedings of the First ACM Conference on Learning at Scale, 41–50. https://doi.org/10.1145/2556325.2566239
Hampel, R., & Stickler, U. (2012). The use of videoconferencing to support multimodal interaction in an online language classroom. ReCALL, 24(2), 116–137. https://doi.org/10.1017/S095834401200002X
Hatano, G., & Inagaki, K. (1986). Two courses of expertise. In H. Stevenson, H. Azuma, & K. Hakuta (Eds.), Child development and education in Japan. New York: W. H. Freeman.
Kang, S. H. K. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12–19. https://doi.org/10.1177/2372732215624708
Khadka, C. (2025). Internet Addiction and Its Impact on Student Mental Health. Dristikon: A Multidisciplinary Journal, 15(1), 41–58. https://doi.org/10.3126/dristikon.v15i1.77120
Krashen, S. D. (1982). Principles and Practice in Second Language Acquisition. Oxford: Pergamon Press.
Lai, C., & Gu, M. (2011). Self-regulated out-of-class language learning with technology. Computer Assisted Language Learning, 24(4), 317–335. https://doi.org/10.1080/09588221.2011.568417
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer Publishing Company.
Lim, E. L., Murugesan, R. K., & Balakrishnan, S. (2024). Leveraging machine learning techniques for students' attention detection: A review. IAES Int. J. Artif. Intell.(IJ-AI), 13(2), 1195–1205.
Littlewood, W. (2002). The task-based approach: Some questions and suggestions. ELT Journal, 58(4), 319–326. https://doi.org/10.1093/elt/58.4.319
Mheidly, N., Fares, M. Y., & Fares, J. (2020). Coping with stress and burnout associated with telecommunication and online learning. Frontiers in Public Health, 8, 1–7. https://doi.org/10.3389/fpubh.2020.574969
Michielsen, H. J., De Vries, J., & Van Heck, G. L. (2003). Psychometric qualities of a brief self-rated fatigue measure: The Fatigue Assessment Scale. Journal of Psychosomatic Research, 54(4), 345–352. https://doi.org/10.1016/S0022-3999(03)00392-6
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Thousand Oaks, CA: SAGE Publications.
Mueller, P. A., & Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note-taking. Psychological Science, 25(6), 1159–1168. https://doi.org/10.1177/0956797614524581
Nabung, A. (2024). The impact of multitasking with digital devices on classroom learning: A critical review on the future of digital distraction in education. US-China Education Review, 14(6), 369–383. https://doi.org/110.17265/2161-623X/2024.06.005
Paivio, A. (1986). Mental representations: A dual coding approach. England: Oxford University Press.
Rahayu, R. P., & Wirza, Y. (2020). Teachers' perception of online learning during the COVID-19 pandemic. Jurnal Penelitian Pendidikan, 20(3), 392–406. https://doi.org/10.17509/jpp.v20i3.29226
Rahmi, K. H., Fahrudin, A., Supriyadi, T., Herlina, E., Rosilawati, R., & Ningrum, S. R. (2025). Technostress and cognitive fatigue: Reducing digital strain for improved employee well-being: A literature review. Multidisciplinary Reviews, 18(2), 1–11. https://doi.org/10.31893/multirev.2025380
Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002
Roediger, H. L., & Butler, A. C. (2017). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27. https://doi.org/10.1016/j.tics.2010.09.003
Sanusi, A., Maulana, D., & Sabarno, R. (2022). Synchronous and asynchronous: Teaching and learning Arabic in building student well-being during the Covid-19 pandemic. ALSUNIYAT: Jurnal Penelitian Bahasa, Sastra, Dan Budaya Arab, 5(1), 13–29. https://doi.org/10.17509/alsuniyat.v5i1.44537
Schoeppe, S., Alley, S., Van Lippevelde, W., Bray, N. A., Williams, S. L., Duncan, M. J., & Vandelanotte, C. (2016). Efficacy of interventions that use apps to improve diet, physical activity, and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 1–26. https://doi.org/10.1186/s12966-016-0454-y
Sun, A., & Chen, X. (2016). Online education and its effective practice: A research review. Journal of Information Technology Education: Research, 15, 157–190. https://doi.org/10.28945/3502
Supriyadi, T., Sulistiasih, S., Rahmi, K. H., Pramono, B., & Fahrudin, A. (2025). The Impact Of Digital Fatigue On Employee Productivity And Well-Being: A Scoping Literature Review. Environment And Social Psychology, 10(2), 1–13. https://doi.org/110.59429/esp.v10i2.3420
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7
Tice, D., Baumeister, R., Crawford, J., Allen, K. A., & Percy, A. (2021). Student belongingness in higher education: Lessons for Professors from the COVID-19 pandemic. Journal of University Teaching and Learning Practice, 18(4), 1–14.
Topping, K. J. (2005). Trends in peer learning. Educational Psychology, 25(6), 231–645. https://doi.org/10.1080/01443410500345172
Tülübaş, T., Karakose, T., & Papadakis, S. (2023). A holistic investigation of the relationship between digital addiction and academic achievement among students. European Journal of Investigation in Health, Psychology and Education, 13(10), 2006–2034. https://doi.org/10.3390/ejihpe13100143
Vogel-Walcutt, J. J., Fiorella, L., Carper, T., & Schatz, S. (2012). The definition, assessment, and mitigation of state boredom within educational settings: A comprehensive review. Educational Psychology Review, 24(1), 89–11. https://doi.org/10.1007/s10648-011-9182-7
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Wu, W. C. V., & Marek, M. (2018). Developing interactive and reflective learning through mobile-assisted language learning. International Journal of Computer-Assisted Language Learning and Teaching, 8(1), 51–69. https://doi.org/10.4018/IJCALLT.2018010104
Zayed, H. A. M., Saied, S. M., Younis, E. A., & Atlam, S. A. (2021). Digital eye strain: prevalence and associated factors among information technology professionals, Egypt. Environmental Science and Pollution Research International, 28(20), 25187–25195. https://doi.org/10.1007/s11356-021-12454-3
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
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