RESEARCH ARTICLE: A cross-sectional study on Bangladeshi students regarding physiological challenges of online education

Authors

DOI:

https://doi.org/10.46542/pe.2021.211.267275

Keywords:

Bangladesh, COVID-19, Online Education, Online Survey, Physiological Challenges

Abstract

Introduction: The COVID-19 pandemic halted educational institutions all over the world which forced a shift to online classes, a new experience for Bangladeshi students which increased their screen time.

Objective: This study aimed at discerning the physiological challenges accompanied by the online education system and the compatibility of Bangladeshi students considering health and socio-demographic factors.

Methods: A cross-sectional pilot study was performed based upon an online survey on students (n = 590) during September 1st to 14th of 2020.

Results: Interestingly, an inevitable consequence of online education was several physiological problems. It was found that 93.9% of the participants faced some kind of physiological challenges, e.g., headaches, fatigue, eye and ear problems, from online classes. The majority of the participants (57.5%) could not concentrate for one hour or more in online classes.

Conclusion: Along with transitioning towards online education, innovative teaching methods would be helpful for the students to adapt to the ‘new normal’.

Author Biographies

Saimon Shahriar, University of Dhaka, Bangladesh

Department of Pharmaceutical Chemistry, Faculty of Pharmacy

Fahima Jannat Koly, University of Dhaka, Bangladesh

Department of Pharmacy, Faculty of Pharmacy

References

Al-Amin, M., Al Zubayer, A., Deb, B., & Hasan, M. (2021). Status of tertiary level online class in Bangladesh: students’ response on preparedness, participation and classroom activities. Heliyon, 7(1), e05943. https://doi.org/10.1016/j.heliyon.2021.e05943

Alkhawaldeh, A., Al Omari, O., ALBashtawy, M., Khraisat, O., Al Dammerry, K., Gharaibeh, S.F., & Ayasrah, I. (2020). Assessment of self-medication use among university students. International Journal of Nursing, 7, 1–7. https://doi.org/10.15640/ijn.v7n1a1

Amoako, E.P., Richardson-Campbell, L., & Kennedy-Malone, L. (2003). Self-Medication with over-the-counter Drugs Among Elderly Adults. Journal of Gerontological Nursing, 29(8), 10–15. https://doi.org/10.3928/0098-9134-20030801-05

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

Barbour, M., Brown, R., Waters, L.H., Hoey, R., Hunt, J.L., Kennedy, K., Ounsworth, C., Powell, A., & Trimm, T. (2011). Online and Blended Learning: A Survey of Policy and Practice from K-12 Schools around the World. International Association for K-12 Online Learning.

Basdav, J., Haffejee, F., & Puckree, T. (2016). Impact of headaches on university students in Durban, South Africa. SpringerPlus, 5(1), 1679. https://doi.org/10.1186/s40064-016-3372-1

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

Brunetti, V. C., O’Loughlin, E. K., O’Loughlin, J., Constantin, E., & Pigeon, É. (2016). Screen and nonscreen sedentary behavior and sleep in adolescents. Sleep Health, 2(4), 335–340.

Cairns, D. (2011). Youth, precarity and the future: Undergraduate housing transitions in Portugal during the economic crisis. Sociologia, Problemas e Práticas, 66, 9–25.

Chang, F.-C., Chiu, C.-H., Chen, P.-H., Miao, N.-F., Chiang, J.-T., & Chuang, H.-Y. (2018). Computer/mobile device screen time of children and their eye care behavior: The roles of risk perception and parenting. Cyberpsychology, Behavior, and Social Networking, 21(3), 179–186.

Chaput, J.-P., Colley, R. C., Aubert, S., Carson, V., Janssen, I., Roberts, K. C., & Tremblay, M. S. (2017). Proportion of preschool-aged children meeting the Canadian 24-Hour Movement Guidelines and associations with adiposity: Results from the Canadian Health Measures Survey. BMC Public Health, 17(5), 147–154.

Chen, T., Peng, L., Yin, X., Rong, J., Yang, J., & Cong, G. (2020). Analysis of user satisfaction with online education platforms in China during the COVID-19 pandemic. Healthcare, 8(3), 200.

Cillero, I.H., & Jago, R. (2010). Systematic review of correlates of screen-viewing among young children. Preventive Medicine, 51(1), 3–10.

Clark, J.T. (2020). Chapter 62—Distance education. In E. Iadanza (Ed.), Clinical Engineering Handbook (Second Edition) (pp. 410–415). Academic Press. https://doi.org/10.1016/B978-0-12-813467-2.00063-8

Deleu, D., Khan, M.A., Humaidan, H., Al Mantheri, Z., & Al Hashami, S. (2001). Prevalence and clinical characteristics of headache in medical students in Oman. Headache: The Journal of Head and Face Pain, 41(8), 798–804.

Delgado-Floody, P., Carter-Thuillier, B., Guzmán-Guzmán, I.P., Latorrre-Román, P., & Caamaño-Navarrete, F. (2020). Low indicators of personal and social development in Chilean schools are associated with unimproved academic performance: A national study. International Journal of Educational Research, 104. https://doi.org/10.1016/j.ijer.2020.101651

Demuyakor, J. (2020). Coronavirus (COVID-19) and online learning in higher institutions of education: A survey of the perceptions of Ghanaian international students in China. Online Journal of Communication and Media Technologies, 10(3).

Duch, H., Fisher, E.M., Ensari, I., & Harrington, A. (2013). Screen time use in children under 3 years old: A systematic review of correlates. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 102.

Ewer, S., Greer, O., Bridges, W., & Lewis, B. (2002). Class length and student performance: An extended study. International Advances in Economic Research, 8(2), 160–168. https://doi.org/10.1007/BF02295347

Fedynich, L. V. (2013). Teaching beyond the classroom walls: The pros and cons of cyber learning. Journal of Instructional Pedagogies, 13.

Ferrari, G. L. de M., Pires, C., Solé, D., Matsudo, V., Katzmarzyk, P. T., & Fisberg, M. (2019). Factors associated with objectively measured total sedentary time and screen time in children aged 9–11 years. Jornal de Pediatria, 95(1), 94–105.

Gillett-Swan, J. (2017). The challenges of online learning: Supporting and engaging the isolated learner. Journal of Learning Design, 10(1), 20–30.

Górnicka, M., Drywień, M.E., Zielinska, M.A., & Hamulka, J. (2020). Dietary and lifestyle changes during COVID-19 and the subsequent lockdowns among Polish adults: A Cross-sectional online survey PLifeCOVID-19 study. Nutrients, 12(8), 2324.

Hafezi, S., Zare, H., Mehri, S.N., & Mahmoodi, H. (2010). The Multidimensional Fatigue Inventory validation and fatigue assessment in Iranian distance education students. 2010 4th International Conference on Distance Learning and Education, 195–198.

Heijden, K.B. van der, Vermeulen, M.C.M., Donjacour, C.E.H.M., Gordijn, M.C.M., Hamburger, H.L., Meijer, A.M., Rijn, K.J. van, Vlak, M., & Weysen, T. (2018). Chronic sleep reduction is associated with academic achievement and study concentration in higher education students. Journal of Sleep Research, 27(2), 165–174. https://doi.org/10.1111/jsr.12596

Islam, A., & Islam, N. (2008). Effectiveness of Different Medium of Education to Imparting Knowledge at Bangladesh Open University. Online Submission, 9(1), 44–53.

Islam, M.S., Sujan, M.S.H., Tasnim, R., Ferdous, M.Z., Masud, J.H.B., Kundu, S., Mosaddek, A.S.M., Choudhuri, M.S.K., Kircaburun, K., & Griffiths, M.D. (2020). Problematic internet use among young and adult population in Bangladesh: Correlates with lifestyle and online activities during the COVID-19 pandemic. Addictive Behaviors Reports, 12, 100311. https://doi.org/10.1016/j.abrep.2020.100311

Kenny, A. (2002). Online learning: Enhancing nurse education? Journal of Advanced Nursing, 38(2), 127–135.

Khati, K., & Bhatta, K. (2020). Challenges of Online Education during COVID-19 Pandemic in Nepal. International Journal of Entrepreneurship and Economic Issues, 4(1), 45–49.

Kim, M.G., Hong, S.M., Shim, H.J., Kim, Y.D., Cha, C.I., & Yeo, S.G. (2009). Hearing threshold of Korean adolescents associated with the use of personal music players. Yonsei Medical Journal, 50(6), 771–776.

Kumar, A., Mathew, K., Alexander, S.A., & Kiran, C. (2009). Output sound pressure levels of personal music systems and their effect on hearing. Noise and Health, 11(44), 132.

Levine, L.E., & Waite, B.M. (2000). Television viewing and attentional abilities in fourth and fifth grade children. Journal of Applied Developmental Psychology, 21(6), 667–679.

Lissak, G. (2018). Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study. Environmental Research, 164, 149–157. https://doi.org/10.1016/j.envres.2018.01.015

Martin, A. J. (2009). Motivation and engagement across the academic life span: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69(5), 794–824.

Menon, B., & Kinnera, N. (2013). Prevalence and characteristics of migraine in medical students and its impact on their daily activities. Annals of Indian Academy of Neurology, 16(2), 221. https://doi.org/10.4103/0972-2327.112472

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open. https://doi.org/10.1016/j.ijedro.2020.100012

Montagni, I., Guichard, E., Carpenet, C., Tzourio, C., & Kurth, T. (2016). Screen time exposure and reporting of headaches in young adults: A cross-sectional study. Cephalalgia, 36(11), 1020–1027.

Nikkelen, S.W., Valkenburg, P. M., Huizinga, M., & Bushman, B.J. (2014). Media use and ADHD-related behaviors in children and adolescents: A meta-analysis. Developmental Psychology, 50(9), 2228.

Oswald, T.K., Rumbold, A.R., Kedzior, S.G., & Moore, V.M. (2020). Psychological impacts of “screen time” and “green time” for children and adolescents: A systematic scoping review. PloS One, 15(9).

Özmert, E., Toyran, M., & Yurdakök, K. (2002). Behavioral correlates of television viewing in primary school children evaluated by the child behavior checklist. Archives of Pediatrics & Adolescent Medicine, 156(9), 910–914.

Page, A.S., Cooper, A.R., Griew, P., & Jago, R. (2010). Children’s screen viewing is related to psychological difficulties irrespective of physical activity. Pediatrics, 126(5).

Peng, J.-H., Tao, Z.-Z., & Huang, Z.-W. (2007). Risk of damage to hearing from personal listening devices in young adults. Journal of Otolaryngology, 36(3), 181-185.

Picciano, A.G. (2017). Theories and frameworks for online education: Seeking an integrated model. Online Learning, 21(3), 166–190.

Poitras, V.J., Gray, C.E., Janssen, X., Aubert, S., Carson, V., Faulkner, G., Goldfield, G.S., Reilly, J.J., Sampson, M., & Tremblay, M.S. (2017). Systematic review of the relationships between sedentary behaviour and health indicators in the early years (0–4 years). BMC Public Health, 17(5), 868.

Robinson, C.C., & Hullinger, H. (2008). New benchmarks in higher education: Student engagement in online learning. Journal of Education for Business, 84(2), 101–109.

Roth, J.J., Pierce, M., & Brewer, S. (2020). Performance and Satisfaction of Resident and Distance Students in Videoconference Courses. Journal of Criminal Justice Education, 31(2), 1–15. https://doi.org/10.1080/10511253.2020.1726423

Sarahroodi, S., Maleki-Jamshid, A., Sawalha, A. F., Mikaili, P., & Safaeian, L. (2012). Pattern of self-medication with analgesics among Iranian University students in central Iran. Journal of Family & Community Medicine, 19(2), 125.

Stack, S. (2015). Learning Outcomes in an online vs traditional course. International Journal for the Scholarship of Teaching and Learning, 9(1), 1-20.

Tamana, S.K., Ezeugwu, V., Chikuma, J., Lefebvre, D.L., Azad, M.B., Moraes, T.J., Subbarao, P., Becker, A.B., Turvey, S.E., & Sears, M.R. (2019). Screen-time is associated with inattention problems in preschoolers: Results from the CHILD birth cohort study. PloS One, 14(4).

The Lancet Child & Adolescent Health. (2018). Growing up in a digital world: Benefits and risks. The Lancet. Child & Adolescent Health, 2(2), 79. https://doi.org/10.1016/S2352-4642(18)30002-6

Tremblay, M.S., Carson, V., Chaput, J.-P., Connor Gorber, S., Dinh, T., Duggan, M., Faulkner, G., Gray, C. E., Gruber, R., Janson, K., Janssen, I., Katzmarzyk, P.T., Kho, M.E., Latimer-Cheung, A.E., LeBlanc, C., Okely, A.D., Olds, T., Pate, R.R., Philips, A., Poitras, V.J., Rodenburg, S., Sampson, M., Saunders, T.J., Stone, J.A., Stratton, G., Weiss, S.K., & Zehr, L. (2016). Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 41(6). https://doi.org/10.1139/apnm-2016-0151

Tremblay, M. S., Chaput, J.-P., Adamo, K. B., Aubert, S., Barnes, J. D., Choquette, L., Duggan, M., Faulkner, G., Goldfield, G. S., & Gray, C. E. (2017). Canadian 24-hour movement guidelines for the early years (0–4 years): An integration of physical activity, sedentary behaviour, and sleep. BMC Public Health, 17(5), 874.

Trout, B. (2018). The effect of class session length on student performance, homework, and instructor evaluations in an introductory accounting course. Journal of Education for Business, 93(1), 16–22.

Unger, S., & Meiran, W. (2020). Student attitudes towards online education during the COVID-19 viral outbreak of 2020: Distance learning in a time of social distance. International Journal of Technology in Education and Science, 4(4), 256–266.

Viner, R.M., Russell, S.J., Croker, H., Packer, J., Ward, J., Stansfield, C., Mytton, O., Bonell, C., & Booy, R. (2020). School closure and management practices during coronavirus outbreaks including COVID-19: A rapid systematic review. The Lancet Child & Adolescent Health. 4(5), 397-404.

Wahlstrom, D., Collins, P., White, T., & Luciana, M. (2010). Developmental changes in dopamine neurotransmission in adolescence: Behavioral implications and issues in assessment. Brain and Cognition, 72(1), 146–159.

Wenham, C., Smith, J., Davies, S.E., Feng, H., Grépin, K.A., Harman, S., Herten-Crabb, A., & Morgan, R. (2020). Women are most affected by pandemics—Lessons from past outbreaks. Nature, 583(7815), 194–198. https://doi.org/10.1038/d41586-020-02006-z

Widén, S. E., Båsjö, S., Möller, C., & Kähäri, K. (2017). Headphone Listening Habits and Hearing Thresholds in Swedish Adolescents. Noise & Health, 19(88), 125–132. https://doi.org/10.4103/nah.NAH_65_16

Published

30/07/2021

Issue

Section

Research Article