Abstract
In today’s globalization world, society is facing unprecedented challenges posed by the needs of urbanization and mobility. Such challenges become even more acute when exacerbated by strong exogenous shocks, such as the COVID-19 pandemic, as they collapse everyday life activities and lead to further imbalances in socio-economic systems. Resilience of such systems and their readiness to mitigate the risks is heavily reliant on their preparedness and willingness to switch to alternative functioning modes. That is of special importance for education sector. This article aims at identifying the driving forces of successful transition to remote learning while keeping the academic motivation of engineering students. The research explores pros and cons of distant learning technologies and highlights the key challenges for its future incorporation in the engineering education sector.
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References
Makarova, I., et al.: Interaction between education and business in digital era. In: Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018, pp. 503–508 (2018)
Makarova, I., Shubenkova, K., Antov, D., Pashkevich, A.: Digitalization of engineering education: from e-learning to smart education. In: Auer, M.E., Langmann, R. (eds.) REV 2018. LNNS, vol. 47, pp. 32–41. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-95678-7_4
Alimudin, A., et al.: Online video conference system using WebRTC technology for distance learning support. In: 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), Bali, Indonesia, pp. 384–387 (2018)
Rodriguez-Paz, M., et al.: Use of an offline video repository as a tool to improve students’ performance in engineering courses versus real-time long distance courses. In: 2019 IEEE Global Engineering Education Conference (EDUCON), pp. 544–551 (2019)
Martínez, P., et al.: Transitioning from face-to-face to blended and full online learning engineering master’s program. IEEE Trans. Educ. 63, 2–9 (2020)
Filipova-Petrakieva, S., et al.: Some problems in distance learning on theoretical electrical engineering in technical university of Sofia. In: 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA), pp. 1–5 (2019)
Morozov, V., et al.: Create the model for development of virtual reality e-learning. In: 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), pp. 1265–1270 (2019)
Shubenkova, K., et al.: Possibility of digital twins technology for improving efficiency of the branded service system. Paper presented at the Proceedings - 2018 Global Smart Industry Conference, GloSIC 2018 (2018)
Aristombayeva, M., et al.: Cloud railroad simulator. Paper presented at the VEHITS 2019 - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, pp. 659–662 (2019)
Plaza, P., et al.: Portable blended MOOC laboratory. In: 2019 IEEE Learning With MOOCS (LWMOOCS), pp. 15–20 (2019)
Fang, N., et al.: Work in progress - an innovative instructional model for improving manufacturing engineering education. In: 2007 37th Annual Frontiers in Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports, Milwaukee, WI, pp. S4D-19–S4D-20 (2007)
Savage, N., et al.: Motivation of engineering students in higher education. Eng. Educ. 6(2), 39–46 (2011)
Makarova, I., et al.: Improving the quality of engineering education by developing the system of increasing students’ motivation. Adv. Intell. Syst. Comput. 716, 150–161 (2018)
Takemoto, I., et al.: Autonomous learning applying for expectancy motivation theory on English education. In: 2017 IEEE 9th International Conference on Engineering Education (ICEED), Kanazawa, pp. 86–89 (2017)
Finelli, C., et al.: Factors that influence faculty motivation of effective teaching practices in engineering. Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19604
Makarova, I., et al.: Usage of microscopic simulation to estimate the environmental impact of road transport. Transp. Res. Procedia 44, 86–93 (2020)
Hasan, M., et al.: Improving students’ motivation to learn through gamification. In: 2017 7th World Engineering Education Forum (WEEF), pp. 642–647 (2017)
Vranešić, P., et al.: Influence of gamification reward system on student motivation. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 766–772 (2019)
Castro, M., et al.: Workshop: teaching practices with VISIR remote lab: technical, educational and research fundamentals from the PILAR project. In: 2019 IEEE World Conference on Engineering Education (EDUNINE), pp. 1–3 (2019)
Tobarra, L., et al.: Students’ acceptance and tracking of a new container-based virtual laboratory. Appl. Sci. 10(3), 1091 (2020)
Solmaz, S., et al.: A practical development of engineering simulation-assisted educational AR environments. Educ. Chem. Eng. 35, 81–93 (2021)
Makarova, I., et al.: An integrated platform for blended learning in engineering education. In: CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education, vol. 2, pp. 171–176 (2017)
Grayevskiy, I., et al.: CDF simulation-based research of influence of mechanical defects in nozzles on environmental parameters of automotive diesel engines. Transp. Res. Procedia 50, 182–191 (2020)
Safiullin, R., et al.: Method to evaluate performance of measurement equipment in automated vehicle traffic control systems. Transp. Res. Procedia 50, 20–27 (2020)
Vakulenko, K., et al.: Designing optimal public bus route networks in a suburban area. Transp. Res. Procedia 39, 554–564 (2019)
Galkin, A., et al.: Last-mile delivery for consumer driven logistics. Transp. Res. Procedia 39, 74–83 (2019)
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The reported study was funded by RFBR, project number 19-29-06008\20.
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Makarova, I., Fatikhova, L., Buyvol, P., Parsin, G. (2022). Problems and Prospects of Using Remote Educational Technologies in the Context of Engineers’ Digital Training. In: Auer, M.E., Hortsch, H., Michler, O., Köhler, T. (eds) Mobility for Smart Cities and Regional Development - Challenges for Higher Education. ICL 2021. Lecture Notes in Networks and Systems, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-93904-5_35
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