Document Type : Scientific - Research


1 Engineering Skills Training Center, Sharif University of Technology, Tehran, Iran

2 Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran


This article investigates the adverse effects of the COVID-19 pandemic on academic education. Limited time and resources makes it necessary to prioritize negative consequences based on their risk in a preventive manner. An effective tool for this matter is the analysis of potential failure modes and effects (FMEA). The negative consequences of the coronavirus pandemic are categorized and prioritized based on the severity, ways of diagnosis, and the probability of occurrence, using FMEA. In this study, using a survey of 120 participants, common failure modes, severity, occurrence likelihood, and preventive detection methods were investigated, and the intensity and occurrence numbers were assigned based on expert opinions. Finally, the listed breakdowns were ranked in order of deterioration. Also, corrective actions were provided to eliminate or reduce the effects of failure of the mentioned cases, and the risk priority number was re-predicted. At the end, effective solutions were presented as a list.


Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: the challenges and opportunities. Interactive Learning Environments, 1-13. 
Amin, R. M., Andrade, N. S., & Neuman, B. J. (2017). Lumbar disc herniation. Current Reviews in Musculoskeletal Medicine, 10(4), 507-516.
Anastasiadou, S., & Zirinoglou, P. (2020). Failure modes and effects analysis (FMEA) application in greek tertiary education. 13th Annual International Conference of Education, Research and Innovation, seville (Spain), ICERI2020 proceedings.
Andersson, G. B. J. (1999). Epidemiological features of chronic low-back pain. The Lancet, 354(9178), 581-585.
Azar-Cavanagh, M., Burdt, P., & Green-McKenzie, J. (2007). Effect of the introduction of an engineered sharps injury prevention device on the percutaneous injury rate in healthcare workers. Infection Control & Hospital Epidemiology, 28(2), 165-170.
Bartolomé, E., & Benítez, P. (2021). Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a study and research path in mechanical engineering. International Journal of Mechanical Engineering Education, 0306419021999046.
Bhan, K. (2020). Meniscal Tears: Current understanding, diagnosis, and management. Cureus, 12(6), e8590-e8590.
Borhany, T., Shahid, E., Siddique, W. A., & Ali, H. (2018). Musculoskeletal problems in frequent computer and internet users. Journal of Family Medicine and Primary Care, 7(2), 337-339.
Boylan, F. (2011). Introducing the failure mode effects reflective analysis technique for the field of higher education and research EDULEARN. International Conference on Education and New Learning Technologies, Barcelona.
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S., Al-Freih, M., Pete, J., & Olcott Jr, D. (2020). A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1-126.
Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Coronavirus pandemic. Asian Journal of Distance Education, 15(1), i-vi.
Clark, A. E., Nong, H., Zhu, H., & Zhu, R. (2021). Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic. China Economic Review, 68, 101629. 
Corbera, E., Anguelovski, I., Honey-Rosés, J., & Ruiz-Mallén, I. (2020). Academia in the time of COVID-19: Towards an ethics of care. Planning Theory & Practice, 21(2), 191-199. 
Danchikov, E. A., Prodanova, N. A., Kovalenko, Y. N., & Bondarenko, T. G. (2021). Using different approaches to organizing distance learning during the COVID-19 pandemic: opportunities and disadvantages. Linguistics and Culture Review, 5(S1), 587-595.
Debeş, G. (2021). Distance learning in higher education during the COVID-19 pandemic: advantages and disadvantages: Distance learning in higher education during the COVID-19 pandemic. International Journal of Curriculum and Instruction, 13(2), 1109-1118.
Ferguson, R., Riley, N. D., Wijendra, A., Thurley, N., Carr, A. J., & Bjf, D. (2019). Wrist pain: a systematic review of prevalence and risk factors– what is the role of occupation and activity? BMC Musculoskeletal Disorders, 20(1), 542.
Gamage, K. A., Silva, E. K. d., & Gunawardhana, N. (2020). Online delivery and assessment during COVID-19: Safeguarding academic integrity. Education Sciences, 10(11), 301. 
Genova, A., Dix, O., Saefan, A., Thakur, M., & Hassan, A. (2020). Carpal tunnel syndrome: A review of literature. Cureus, 12(3), e7333-e7333.
Giuriato, G., Pedrinolla, A., Schena, F., & Venturelli, M. (2018). Muscle cramps: A comparison of the two-leading hypothesis. J Electromyogr Kinesiol, 41, 89-95.
Gorgani, H. H. (2016). Improvements in teaching projection theory using failure mode and effects analysis (FMEA). Journal of Engineering and Applied Sciences, 100(1), 37-42. 
Gorgani, H. H., & Pak, A. J. (2020). Adaptation of engineering of graphics courses to modern design approaches using a hybrid data mining method based on QFD and fuzzy dematel. Iranian Journal of Engineering Education, 22(86), 55-54. 
Gorgani, H. H., & Shabani, S. (2021). Online exams and the COVID-19 pandemic: a hybrid modified FMEA, QFD, and k-means approach to enhance fairness. SN Appl Sci, 3(10), 818.
Haghshenas Gorgani, H., & Jahantigh Pak, A. (2020). A new method for assessment of engineering drawing answer scripts using fuzzy logic. Journal of Computational Applied Mechanics, 51(1), 170-183. 
Hamid, R., Sentryo, I., & Hasan, S. (2020). Online learning and its problems in the Covid-19 emergency period. Jurnal Prima Edukasia, 8, 86-95.
Hess, G. P., Cappiello, W. L., Poole, R. M., & Hunter, S. C. (1989). Prevention and treatment of overuse tendon injuries. Sports Medicine, 8(6), 371-384.
Huang, J., You, J.-X., Liu, H.-C., & Song, M.-S. (2020). Failure mode and effect analysis improvement: A systematic literature review and future research agenda. Reliability Engineering & System Safety, 199, 106885. 
Kazeminasab, S., Nejadghaderi, S. A., Amiri, P., Pourfathi, H., Araj-Khodaei, M., Sullman, M. J. M., Kolahi, A.-A., & Safiri, S. (2022). Neck pain: global epidemiology, trends and risk factors. BMC Musculoskeletal Disorders, 23(1), 26.
Khuankrue, I., Kumeno, F., Ohashi, Y., & Tsujimura, Y. (2017). Applying fuzzy rule-based system on FMEA to assess the risks on project-based software engineering education. Journal of Software Engineering and Applications, 10(07), 591. 
Leonard, A., Anggito, N., Sialagan, F., & Suroso, J. (2020). Information system security risk management e-learning using fmea in university. International Journal of Advanced Trends in Computer Science and Engineering, 7565-7568. 
Li, G., Huang, S., Xu, W., Jiao, W., Jiang, Y., Gao, Z., & Zhang, J. (2020). The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG. BMC Neuroscience, 21(1), 20.
Moawad, R. A. (2020). Online learning during the COVID-19 pandemic and academic stress in university students. Revista Românească pentru Educaţie Multidimensională, 12(1 Sup2), 100-107. 
Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Advantages, limitations and recommendations for online learning during COVID-19 pandemic era. Pakistan Journal of Medical Sciences, 36(COVID19-S4), S27.
Muqtadiroh, F. A., Darmaningrat, E. W. T., & Savira, R. N. (2017). Risk assessment and risk mitigation of E-Learning implementation in the middle school using failure modes and effects analysis (FMEA). Seminar Nasional Teknologi Informasi Komunikasi dan Industri.
Nikolopoulou, K. (2022). Online education in early primary years: Teachers’ practices and experiences during the COVID-19 pandemic. Education Sciences, 12(2), 76.
Okinaka, M., & Wada, T. (2021). The effect of static stretching on key hits and subjective fatigue in sports. Journal of Physical Therapy Science, 33(12), 891-897.
Phanse, S. (2021). The online education impact on students during covid-19 pandemic. Indonesian Journal of Teaching in Science, 1(2), 137-140.
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.
Purcell, L. (2009). Causes and prevention of low back pain in young athletes. Paediatrics & child health, 14(8), 533-538.
Reddy, V. K., Lavoie, M.-C., Verbeek, J. H., & Pahwa, M. (2017). Devices for preventing percutaneous exposure injuries caused by needles in healthcare personnel. The Cochrane Database of Systematic Reviews, 11(11), CD009740-CD009740.
Ribeiro, M. H. D. M., da Silva, R. G., Mariani, V. C., & dos Santos Coelho, L. (2020). Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. Chaos, Solitons & Fractals, 135, 109853. 
Shankar, S., Naveenkumar, R., Nithyaprakash, R., Narmatha, S., Sai, R. R., & Nandhakumar, M. (2022). Impact of digital boards on hand and neck muscle activity during online teaching process. Education and Information Technologies.
Shantakumari, N., Eldeeb, R., Sreedharan, J., & Gopal, K. (2014). Computer use and vision-related problems among university students in ajman, United arab emirate. Annals of Medical and Health Sciences Research, 4(2), 258-263.