Innovative Technologies Against the COVID-19’s Challenge: Education Issues
https://doi.org/10.47703/ejebs.v1i59.23
Abstract
The intention of the paper is to consider the role of technologies used to overcome the COVID-19’s challenges in higher education. On investigating, it has been found that the digital strategies utilizing innovation technologies help students to adapt to pandemic consequences. This study enlightens the various technologies that assist systems of healthcare and education in diverse aspects to outlive against COVID-19. Furthermore, the technological shift of world economy that happened during the pandemic and its influence in the society is discussed. Besides the considered innovation technologies, this paper also deals with changes that have taken place in education system of Kazakhstan in pandemic circumstances. Alongside our suggested solution for further educational process issues is also presented.
A detailed review of the literature is done on COVID-19, digital technologies in education, blended learning using appropriate keywords on SCOPUS, Springer, Science Direct, and Google Scholar. To get insights some relevant sites and blogs are also taken into account. We have identified technologies used in Kazakhstan that play an important role now.
There have been chosen exploratory and conclusive research design. Fifty-nine students provided qualitative responses; ninety-eight students and graduates participated in quantitative survey. The results of study has shown students’ increased awareness concerning blended learning.
The scientific novelty lies in the description of the experience gained by higher schools during the quarantine. We believe that in the future, blended learning should be used largely. The innovations in the learning process cover two areas. The first is related to software used. It is like creation of a virtual university that facilitates communication between students and teachers. The second area correlates with content, without which any innovation will fail.
About the Authors
Hans-Christian BrauweilerGermany
Aida Yerimpasheva
Kazakhstan
References
1. Agosto, A., & Giudici, P. (2020). COVID-19 contagion and digital finance. Digital Finance. doi: 10.1007/s42521-020-00021-3
2. Allam, Z., Dey, G., & Jones, D. (2020). Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally. AI, 1(2), 156-165. doi: 10.3390/ai1020009
3. Altbach, P., & de Wit, H. (2020). Are we at a transformative moment for online learning? University World News. Retrieved from https://www.universityworldnews.com /post.php?story=20200504161024165
4. Beaunoyer, E., Dupéré, S., & Guitton, M. (2020). COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, 111, 106424. doi: 10.1016/j.chb.2020.106424
5. Brauweiler, H., Kurchenkov, V., Abilov, S., & Zirkler, B. (2020). Digitalization and Industry 4.0: Economic and Societal Development (1st ed.). Berlin: Springer Gabler, Wiesbaden
6. Chettri, S., Debnath, D., & Devi, P. (2020). Leveraging Digital Tools and Technologies to Alleviate COVID-19 Pandemic. SSRN Electronic Journal. doi: 10.2139/ssrn.3626092
7. UN (2021) Education during Covid-19 and beyond. Retrieved 13 March 2021, from https://www.un.org/sites/un2.un.org/files/policy_brief_-_education_during_covid-19_and_beyond_russian.pdf
8. Farahani, I., Laeer, S., Farahani, S., Schwender, H., & Laven, A. (2020). Blended learning: Improving the diabetes mellitus counseling skills of German pharmacy students. Currents in Pharmacy Teaching and Learning, 12(8), 963-974. doi: 10.1016/j.cptl.2020.04.016
9. Haghani, M., Bliemer, M., Goerlandt, F., & Li, J. (2020). The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review. Safety Science, 129, 104806. doi: 10.1016/j.ssci.2020.104806
10. Iivari, N., Sharma, S., & Ventä-Olkkonen, L. (2020). Digital transformation of everyday life – How COVID-19 pandemic transformed the basic education of the young generation and why information management research should care? International Journal of Information Management, 102183. doi: 10.1016/j.ijinfomgt.2020.102183
11. Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419-422. doi: 10.1016/j.dsx.2020.04.032
12. Jowsey, T., Foster, G., Cooper-Ioelu, P., & Jacobs, S. (2020). Blended learning via distance in pre-registration nursing education: A scoping review. Nurse Education in Practice, 44, 102775. doi: 10.1016/j.nepr.2020.102775
13. Kapoor, A., Guha, S., Kanti Das, M., Goswami, K., & Yadav, R. (2020). Digital healthcare: The only solution for better healthcare during COVID-19 pandemic? Indian Heart Journal, 72(2), 61-64. doi: 10.1016/j.ihj.2020.04.001
14. Klenner, M., Grimm, F., & Brauweiler, H.-Ch. (2017). Flipped Classroom Educational Methods in International Distant Learning Projects. In International Conference on Education. Delhi: Delhi University.
15. Kumar, M., Raut, D., Narwane, D., & Narkhede, D. (2020). Applications of industry 4.0 to overcome the COVID-19 operational challenges. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1283-1289. doi: 10.1016/j.dsx.2020.07.010
16. Kurenev, G. (2020). Kak pandemiya povliyala na cifrovye tekhnologii? Retrieved 27 July 2020, from http://kabar.kg/news/kak-pandemiia-povliiala-na-tcifrovye-tekhnologii/
17. Madurai Elavarasan, R., & Pugazhendhi, R. (2020). Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic. Science of the Total Environment, 725, 138858. doi: 10.1016/j.scitotenv.2020.138858
18. Maslen, G. (2020). COVID-19 – Online leads to student performance decline. University World News. Retrieved from https://www.universityworldnews.com/post.php?story= 20200504161024165
19. Megahed, N., & Ghoneim, E. (2020). Antivirus-built environment: Lessons learned from Covid-19 pandemic. Sustainable Cities and Society, 61, 102350. doi: 10.1016/j.scs.2020.102350
20. Mohanty, S., Harun AI Rashid, M., Mridul, M., Mohanty, C., & Swayamsiddha, S. (2020). Application of Artificial Intelligence in COVID-19 drug repurposing. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1027-1031. doi: 10.1016/j.dsx.2020.06.068
21. Mulenga, E., & Marbán, J. (2020). Is COVID-19 the Gateway for Digital Learning in Mathematics Education? Contemporary Educational Technology, 12(2), ep269. doi: 10.30935/cedtech/7949
22. Nadikattu, R. (2020). Information Technologies: Rebooting the World Activities during COVID-19. SSRN Electronic Journal. doi: 10.2139/ssrn.3622733
23. Papadopoulos, T., Baltas, K., & Balta, M. (2020). The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice. International Journal of Information Management, 102192. doi: 10.1016/j.ijinfomgt.2020.102192
24. Pirouz, B., Shaffiee Haghshenas, S., Shaffiee Haghshenas, S., & Piro, P. (2020). Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis. Sustainability, 12(6), 2427. doi: 10.3390/su12062427
25. Poch, M., Garrido-Baserba, M., Corominas, L., Perelló-Moragues, A., Monclús, H., & Cermerón-Romero, M. et al. (2020). When the fourth water and digital revolution encountered COVID-19. Science of the Total Environment, 744, 140980. doi: 10.1016/j.scitotenv.2020.140980
26. Rajhans, V., Memon, U., Patil, V., & Goyal, A. (2020). Impact of COVID-19 on academic activities and way forward in Indian Optometry. Journal of Optometry. doi: 10.1016/j.optom.2020.06.002
27. Schumpeter, J. (1934). Theory of Economic Development (3rd ed.). Harvard Economic Studies.
28. Mensch, G. (1983). Stalemate in technology (3rd ed.). Cambridge, Mass: Ballinger.
29. Shaw, R., Kim, Y., & Hua, J. (2020). Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia. Progress in Disaster Science, 6, 100090. doi: 10.1016/j.pdisas.2020.100090
30. Singh, R., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524. doi: 10.1016/j.dsx.2020.04.041
31. Ting, D., Carin, L., Dzau, V., & Wong, T. (2020). Digital technology and COVID-19. Nature Medicine, 26(4), 459-461. doi: 10.1038/s41591-020-0824-5
32. Upadhyaya, G., Jain, V., Iyengar, K., Patralekh, M., & AbhishekVaish. (2020). Impact of COVID-19 on post-graduate orthopaedic training in Delhi-NCR. Journal of Clinical Orthopaedics and Trauma. doi: 10.1016/j.jcot.2020.07.018
33. Vaishya, R., Javaid, M., Khan, I., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337-339. doi: 10.1016/j.dsx.2020.04.012
34. Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118-144. doi: 10.1016/j.jsis.2019.01.003
35. Vigil Martín, E. (2020). Digital Technology in the Covid-19 Pandemic. Clinical Immunology and Immunotherapy, 6(1), 1-3. doi: 10.24966/ciit-8844/1000020
36. Vida, I., Spaller, E., & Vasa, L. (2020). Potential effects of Finance 4.0 on the employment in East Africa. Economy and Sociology 2020 NO. 2, (2020. 2), 29-42. https://doi.org/10.36004/nier.es.2020.2-03
37. Yerimpasheva, A., & Balgabayeva, Z. (2020). Data-driven marketing as a part of a business strategy of Kazakhstani franchise companies. In Digitalization and Industry 4.0: Economic and Societal Development (pp. 333-347). Berlin: Springer Gabler, Wiesbaden.
Review
For citations:
Brauweiler H., Yerimpasheva A. Innovative Technologies Against the COVID-19’s Challenge: Education Issues. Eurasian Journal of Economic and Business Studies. 2021;59(1):5-22. https://doi.org/10.47703/ejebs.v1i59.23
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