Volume 9, Issue 4, August 2020, Page: 300-314
E-learning During COVID-19 Pandemic: Obstacles Faced Nursing Students and Its Effect on Their Attitudes While Applying It
Gehan Mohamed Abd El-Hamed Diab, Department of Nursing Administration, Faculty of Nursing, Menoufia University, Shebin El-Kom, Egypt
Nahid Fouad Elgahsh, Department of Medical Surgical Nursing, Faculty of Nursing, Menoufia University, Shebin El-Kom, Egypt
Received: Jul. 25, 2020;       Accepted: Aug. 7, 2020;       Published: Aug. 17, 2020
DOI: 10.11648/j.ajns.20200904.33      View  57      Downloads  422
Background: E-learning is the use of the internet and its related devices for educational purposes without geographical restrictions, especially after the outbreak of the coronavirus pandemic, which led to a disruption of education in the classrooms in Egypt and around the world. Teaching and learning via the internet is a novel experience for most teachers and students. Aim: to investigate the effect of obstacles faced nursing students on their attitudes towards e-learning while applying it during COVID-19 pandemic. Design: A descriptive correlational research design. Setting: The study was conducted at Faculty of Nursing, Menoufia University, Egypt. Subjects: A stratified random sample technique was employed for the selection of 30% from the students in each of the four academic years enrolled in Faculty of Nursing, Menoufia University during the academic year 2019/2020. Tools: Interviewing questionnaire, attitude towards e-learning scale, and obstacles of e-learning questionnaires. Results: The results revealed that overall, 61.6% of students had negative attitudes towards e-learning. There was the highest level of total obstacles present among academic students in the first year were (67.6%) and the lowest level of total obstacles present among academic students in the fourth year was (55.7%) that faced nursing students during using e-learning. the most common dimensions of obstacles to e-learning were infrastructure and technology, technical and management support, and instructors' characteristics (87.1%, 85.2%, and 82.9%, respectively). Conclusions: There was a high statistically significant negative correlation between obstacles facing nursing students, and their attitudes toward e-learning. Recommendations: The Board Directors of the Faculty of Nursing must take the necessary measures to improve electronic learning and teaching during the closure. Also, a systematic strategy should be followed to implement e-learning since it is a new experience for Menoufia University.
Attitude, COVID-19, E-Learning, Nursing Students, Obstacles
To cite this article
Gehan Mohamed Abd El-Hamed Diab, Nahid Fouad Elgahsh, E-learning During COVID-19 Pandemic: Obstacles Faced Nursing Students and Its Effect on Their Attitudes While Applying It, American Journal of Nursing Science. Vol. 9, No. 4, 2020, pp. 300-314. doi: 10.11648/j.ajns.20200904.33
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This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Al-Gamdi, M., and Samarji, A. (2016). Perceived Barriers towards e-Learning by Faculty Members at a Recently Established University in Saudi Arabia. Int. J. Inf. Educ. Technol., 6 (1): 23-28. Retrieved from: https://doi.org/10.7763/IJIET.2016.V6.652
Bahramnezhad, F., Asgari, P., Ghiyasvandian, S., Shiri, M., and Bahramnezhad, F. (2016). The Learners' Satisfaction of E-learning: A Review Article. American Journal of Educational Research, 4 (4): 347-352. http://pubs.sciepub.com/education/4/4/8/
World Health Organization. (2020). Statement on the meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). Retrieved on 27 April 2020 from https://bit.ly/2RwodiW
Zhang, YU. (2020). COVID-19 crisis is an opportunity to try out online HE. 14 March 2020 Retrieved from: https://www.universityworldnews.com/post.php?story=2020031013551895
Joint Information Systems Committee, JISC. (2020). Available from: https://intranet.royalholloway.ac.uk/staff/teaching/e-learning/overview-of-e-learning/defining-e-learning.aspx
Alfraih, M., and Alanezi, S. (2016). Accounting students’ perceptions of effective faculty attributes. Journal of International Education in Business, 9 (2): 123-142.
Alsabawy, A., Cater-Steel, A., and Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64: 843–858. ISSN 0747-5632. doi: 10.1016/j.chb.2016.07.065.
Odit-Dookhan, K. (2018). Attitude towards E-Learning: The Case of Mauritian Students in Public TEIS. International Journal of Social Sciences, 4 (3): 628–643. https://dx.doi.org/10.20319/pijss.2018.43.628643
George, P., Papachristou, N., Belisario, JM. (2014). Online eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Glob Health, 4 (1): 1–17.
Asiry, MA. (2017). Dental students’ perceptions of an online learning. Saudi Dent J, 29 (4): 167–170.
Al-Samarraie, H., Teng, BK., Alzahrani, AI. (2018). E-learning continuance satisfaction in higher education: a unified perspective from instructors and students. Studies in Higher Education, 43 (11): 2003-19. https://doi.org/10.1080/03075079.2017.1298088
Aparicio, M., Bacao, F., and Oliveira, T. (2017). Grit in the path to e-learning success. Comput. Human Behav., vol. 66: 388–399. https://doi.org/10.1016/j.chb.2016.10.009
Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Ratri, P., Rosner, R. and Sindhi, S. (2018). Online education: Worldwide status, challenges, trends, and implications. Journal of Global Information Technology Management, 21 (4): 233–241. https://doi.org/10.1080/1097198X.2018.1542262
Arasaratnam, S. L., and Northcote, M. (2017). Community in online higher education: Challenges and opportunities. The Electronic Journal of e-Learning, 15 (2): 188–198. Retrieved from http://www.ejel.org/main.html
Schmitt, U. (2016). Redefining knowledge management education with the support of personal knowledge management devices. Smart Education and e-Learning, Springer, Cham, pp. 515–525.
Bower, M., Dalgarno, B., Kennedy, G. E., Lee, M. J. and Kenney, J. (2015). Design and implementation factors in blended synchronous learning environments: outcomes from a cross-case analysis. Computers & Education, No. 86, pp. 1-17. https://doi.org/10.1016/j.compedu.2015.03.006
Mahlangu, P. (2018). The good, the bad, and the ugly of distance learning in higher education. In M. Sinecen (Ed.), Trends in e-learning. Intech Open. Retrieved from http://dx.doi.org/10.5772/intechopen.75702
Zamani, E., and Esfijani, A. (2016). Major barriers for participating in online teaching in developing countries from Iranian faculty members’ perspectives. Australasian Journal of Educational Technology, 32 (3): 38–49.
Kentnor, HE. (2015). Distance education and the evolution of online learning in the United States. Curriculum and Teaching Dialogue, 17 (1/2): 21–34.
Salloum, S. A., Al-Emran, M., Shaalan, K., and Tarhini, A. (2019). Factors affecting the e-learning acceptance: a case study from UAE. Education and Information Technologies, 24 (1): 509-530.
Quadri, N., Muhammed, A., Sanober, S., Qureshi, M. and Shah, A. (2017). Barriers effecting successful implementation of e-learning in Saudi Arabian universities. International Journal of Emerging Technologies in Learning (iJET), 12 (6): 94-107. https://doi.org/10.3991/ijet.v12i06.7003
Zaharah, Z., Kirilova, G., and Windarti, A. (2020). Impact of Corona Virus Outbreak Towards Teaching and Learning Activities in Indonesia. SALAM: Jurnal Sosial dan Budaya Syar-i, 7 (3): 269- 281. https://doi.org/10.15408/sjsbs.v7i3.15104
Sintema, E. J. (2020). Effect of COVID-19 on the Performance of Grade 12 Students: Implications for STEM Education. Eurasia Journal of Mathematics, Science and Technology Education, 16 (7): em1851. https://doi.org/10.29333/ejmste/7893
Liaw, S. (2008). Investigating Students' Perceived Satisfaction, Behavioral Intention, and Effectiveness of ELearning: A Case Study of the Blackboard System. Computers & Education 51: 864–873.
Akimanimpaye, F. and Fakude, L. P. (2015). Attitudes of undergraduate nursing students towards e-learning at the University of the Western Cape, South Africa. African Journal for Physical, Health Education, Recreation and Dance, Supplement 1: 2 (October), 418-433.
Abbad, M., Morris, D., and Nahlik, D. (2009) Looking under the Bonnet: Factors Affecting Student Adoption of ELearning Systems in Jordan. International Review of Research in Open and Distance Learning, 10 (2): 1-25.
Rhema A. and Miliszewska I. (2014). Analysis of Student Attitudes towards E-learning: The Case of Engineering Students in Libya,” Issues in Informing Science and Information Technology, vol. 11, pp. 169–190. Retrieved from: http://iisit.org/Vol11/IISITv11p169-190Rhema0471.pdf
Bhuasiri, W., Xaymoungkhoun, O, Rho, J. and Ciganek, P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers and Education, 58 (2): 843-855.
Muilenburg, Y., and Berge, L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26 (1): 29–48. https://doi.org/10.1080/01587910500081269
Assareh, A., and Bidokht, M. H. (2011). Barriers to e-teaching and e-learning. Procedia Computer Science, 3, 791-795. https://doi.org/10.1016/j.procs.2010.12.129
Al-Fraihat D., Joy, M., Masa'deh, R., and Sinclair J. (2020). Evaluating E-learning Systems Success: An empirical study. Computers in Human Behavior, vol. 102, 67–86. doi: 10.1016/j.chb.2019.08.004.
Abbasi, S., Ayoob, T., Malik, A., Memon, SI. (2020). Perceptions of students regarding E-learning during Covid-19 at a private medical college. Pak J Med Sci. 36 (COVID19-S4): COVID19-S57-S61. doi: https://doi.org/10.12669/pjms.36.COVID19-S4.2766
Obaid Ullah, O., Khan, W., and Khan A. (2017). Students’ Attitude towards Online Learning at Tertiary Level. Humanities and Social Sciences (PUTAJ), 25 (1-2): 63-82.
Betihavas, V., Bridgman, H., Kornhaber, R., Cross, M., (2016). The evidence for 'flipping out': a systematic review of the flipped classroom in nursing education. Nurse Educ. Today 38, 15–21. https://doi.org/10.1016/j.nedt.2015.12.010.
Hew, K. F., Lo, C. K., 2018. Flipped classroom improves student learning in health professions education: a meta-analysis. BMC Med. Educ. 18, 38. Retrieved from: https://doi.org/10.1186/s12909-018-1144-z.
Mahmoud, R., El Magrabi, M., & Mohamed, R. (2015). Faculty of Nursing Teaching Staff members and Students Attitudes toward e-learning. IOSR Journal of Nursing and Health Science, 4 (4): 2320–1940.
Bhatia. P. (2011). Features and Effectiveness of E-learning Tools. Global Journal of Business Management and Information Technology, 1 (1): 1-7.
Mislinawati, V., and Nurmasyitah, M. (2018). Students’ perceptions on the implementation of e-learning: Helpful or unhelpful? Paper presented at the 6th South East Asia Design Research International Conference.
Aljaraideh, Y and Al Bataineh, K, (2019). Jordanian Students’ Barriers of Utilizing Online Learning: A Survey Study. International Education Studies, 12 (5): 99-108 http://www.ccsenet.org/journal/index.php/ies/article/view/0/39309
Al-Azawei A, Parslow. P and Lundqvist. K (2016). Barriers and Opportunities of E-Learning Implementation in Iraq: A Case of Public Universities. The International Review of Research in Open and Distributed Learning, 17 (5): 126-146.
Vershitskaya, R., Mikhaylova, V., Gilmanshina I., Dorozhkin, M., and Epaneshnikov, V. (2020). Present-day management of universities in Russia: Prospects and challenges of e-learning. Education and Information Technologies, 25 (1): 611–621.
Mohammadzadeh N, Ghalavandi H, and Abbaszadeh M, (2017). Critical Success Factors for Electronic Learning from the Perspectives of Faculty Members and Experts of Tehran University of Medical Sciences, Tehran, Iran, Using Delphi Method and Analytic Hierarchy Process. Future of medical education journal (FMEJ), 7 (3): 3-8.
Ali, S., Gulliver, S., and Uppal, M. (2018). A conceptual framework highlighting e-learning implementation barriers. Info Tech People. 31 (1): 156–180.
Osman M, Wahid A and Zakria A, (2018). Assessment of Factors Affecting E-learning: Preliminary Investigation. 1st International Conference on Open Library to Open SocietyAt: Sukhotai Thammatirat Open University, Nonthaburi, Thailand. Retrieved from: https://www.researchgate.net/publication/327666987_Assessment_of_Factors_Affecting_E-learning_Preliminary_Investigation
Touray, A., Salminen, A., and Mursu, A. (2013). ICT barriers and critical success factors in developing countries. The Electronic Journal on Information Systems in Developing Countries, 56 (7): 1–17.
Tarus, J. K., Gichoya, D., and Muumbo, A. (2015). Challenges of implementing e-learning in Kenya: A case of Kenyan public universities. International Review of Research in Open and Distributed Learning, 16 (1): 120–141.
Green J, and Huntington A, (2017). Online professional development for digitally differentiated nurses: An action research perspective. Nurse Education in Practice, 22, 55-62. https://doi.org/10.1016/j.nepr.2016.11.009
Mayerova, S. H., and Rosicka, Z. (2015). E-Learning Pros and Cons: Active Learning Culture? Social and Behavioral Sciences, 191, 958-962. doi: 10.1016/j.sbspro.2015.04.702
Mtebe, S., and Raphael, C. (2018). Key factors in learners’ satisfaction with the e-learning system at the University of Dar es Salaam, Tanzania. Australasian Journal of Educational Technology, 34 (4): 107-122.
Mahmodi, M., and Moghadam, M. (2019). The Correlation between Students’ Attitudes and Persistence in E-Learning,” Interdisciplinary Journal of Virtual Learning in Medical Sciences, 10 (2): 30-38.
Kisanga D. (2016). Determinants of Teachers’ Attitudes towards E-Learning in Tanzanian Higher Learning Institutions,” The International Review of Research in Open and Distributed Learning, 17 (5): 109-125.
Alone and Mugabirwe (2019). Barriers and Motivators to Implementation of an E-Learning and Multimedia Technology towards Improving School Education Standards in Mathematics and Health Education in Nakivale Refugee Settlement, Uganda. International Journal of Trend in Scientific Research and Development (IJTSRD) 3 (6). https://zenodo.org/record/3587927#.XxlGKVUzbIU
Harrandi, S. R. (2015). Effects of e-learning on students' motivation. Social and Behavioral Sciences, 181, 423-430.
Naveed, Q., Muhammed, A., Sanober, S., Qureshi, M., and Shah, A. (2017). Barriers Effecting Successful Implementation of E-Learning in Saudi Arabian Universities. International Journal of Emerging Technologies in Learning (IJET), 12 (6): 94-107.
Mailizar M, Almanthari A, Maulina S, and Bruce S, (2020). Secondary School Mathematics Teachers’ Views on E-learning Implementation Barriers during the COVID-19 Pandemic: The Case of Indonesia,” Eurasia Journal of Mathematics, Science and Technology Education, 16 (7): 1-9. Retrieved from: https://doi.org/10.29333/ejmste/8240
Lowes, S., Lin, P., and Kinghorn, B. (2016). Gender differences in online high school courses. Online Learning, 20 (4): 100-117.
Amro, H., Mundy, M., and Kupczynski, L. (2015). The effects of age and gender on student achievement in face-to -face and online college algebra classes. Research in Higher Education Journal, 27, 1-22.
Rafiq, F. (2020) Analyzing Students’ Attitude towards E-Learning: A Case Study in Higher Education in Pakistan. Pakistan Social Sciences Review, 4 (1): pp. 367–380.
Jan, H., and Mattoo, M. (2018). Attitude towards E-Learning among Research Scholars with respect to the Demographical Variables. A Peer Reviewed Refereed International Research Journal, 4 (1): 38-42.
Ramadan, K., Elatresh, J., Alzain A., and Tokeser U. (2019). An Analysis of Factors affecting Learners' attitudes towards the Integration of E-learning into the Higher Education System in Libya: Case Study; Misurata University,” Australian Journal of Basic and Applied Sciences. 13 (10): 55-64.
Xhaferi, G., Bahiti, R., and Farizi, XH. (2018). The Impacts of Demographic Variables of students on attitudes towards e-learning in higher education. International Journal of Computer Science and Information Security, 16 (6): 93-98.
Peytcheva-Forsyth, R., Yovkova, B., and Aleksieva, L. (2018). Factors affecting students’ attitudes towards online learning - The case of Sofia University. https://doi.org/10.1063/1.5082043
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