Skip to main content

Impact Analysis of Changing Education Forms on the Future Engineers’ Motivation in Connection with COVID-19

  • Conference paper
  • First Online:
Artificial Intelligence and Online Engineering (REV 2022)

Abstract

Currently, the situation with COVID-19 has changed our daily lives, creating serious problems in all spheres of society. This has also affected the system of engineering education, new forms of e-learning have appeared. In the current conditions, the integration of digital technologies into university education has become an integral component that meets the challenges of global digitalization. In this context, an important issue is the study of students’ attitudes to new educational formats. This article presents some accumulated experience in the use of distance learning technologies by students of engineering specialties of the university. The main directions of influence on the increase of educational motivation in the process of digital learning are determined. The advantages and difficulties arising in the implementation of online forms of education, as well as socio-economic factors affecting the increase of educational motivation of engineering students are identified. The article considers virtual environments that have the greatest efficiency in terms of process management, quality of learning, student engagement and increasing their motivation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kiryakova AV, Kargapoltseva NA, Belonovskaya ID (2020) Scientific and pedagogical projections of the transformation of university education. Vysshee Obrazovanie v Rossii 29(8–9):155–167

    Article  Google Scholar 

  2. Makarova I, Shubenkova K, Antov D, Pashkevich A (2019) Digitalization of engineering education: from e-learning to smart education. In: Auer ME, Langmann R (eds) REV 2018, vol 47. LNNS. Springer, Cham, pp 32–41. https://doi.org/10.1007/978-3-319-95678-7_4

    Chapter  Google Scholar 

  3. Alimudin A, Muhammad A (2018) 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

    Google Scholar 

  4. Martínez P et al (2020) Transitioning from face-to-face to blended and full online learning engineering master’s program. IEEE Trans Educ 63(1):2–9

    Article  Google Scholar 

  5. Filipova-Petrakieva S (2019) 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), Varna, Bulgaria, pp 1–5

    Google Scholar 

  6. Plaza P (2019) Portable blended MOOC laboratory. In: 2019 IEEE learning with MOOCS (LWMOOCS), Milwaukee, WI, USA, pp 15–20

    Google Scholar 

  7. Fang N, Stewardson GA, Lubke MM (2007)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

    Google Scholar 

  8. Savage N et al (2011) Motivation of engineering students in higher education. Eng Educ 6(2):39–46

    Article  Google Scholar 

  9. Makarova I et al (2018) Improving the quality of engineering education by developing the system of increasing students’ motivation. Adv Intell Syst Comput 716:150–161

    Google Scholar 

  10. Takemoto I (2017) Autonomous learning applying for expectancy motivation theory on English education. In: 2017 IEEE 9th international conference on engineering education (ICEED), Kanazawa, pp 86–89

    Google Scholar 

  11. Finelli CJ et al (2013) 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

  12. Makarova I et al (2020) Usage of microscopic simulation to estimate the environmental impact of road transport. Trans Res Procedia 44:86–93

    Article  Google Scholar 

  13. Gabsalikhova L et al (2020) Connected vehicles fleet expanding problems. In: VEHITS 2020: proceedings of the 6th international conference on vehicle technology and intelligent transport systems, pp 642–650

    Google Scholar 

  14. Makarova I et al (2020) Changing the maintenance and repair system while expanding the connected vehicles fleet. In: VEHITS 2020: proceedings of the 6th international conference on vehicle technology and intelligent transport systems, pp 622–633

    Google Scholar 

  15. Braniš M, Balint G, Takacs J, Šulík M, Galkin A (2020) Shared electric scooters like a tool of a micro-mobility in cities. In: SGEM 2020: international multidisciplinary scientific geoconference surveying geology and mining ecology management, pp 631–638

    Google Scholar 

  16. Ostroukh A (2021) Intelligent system for digital substation control. Transp Res Procedia 57:385–391

    Article  Google Scholar 

  17. Galkin A (2019) Interaction of logistics 4.0 and consumer oriented marketing using ICT. In: Proceedings of the 33rd international business information management association conference, IBIMA 2019: education excellence and innovation management through vision 2020, pp 6751–6760

    Google Scholar 

  18. Makarova I, Shubenkova K, Buyvol P, Shepelev V, Gritsenko A (2021) The role of reverse logistics in the transition to a circular economy: case study of automotive spare parts logistics. FME Trans 49(1):173–185

    Article  Google Scholar 

  19. Popova I (2021) Application of the RFID technology in logistics. Transp Res Procedia 57:452–462

    Article  Google Scholar 

  20. Uvarov AU (2018) Virtual reality technologies in education. Sci Sch 4:108–117

    Google Scholar 

  21. Hasan M (2017) Improving students’ motivation to learn through gamification. In: 2017 7th world engineering education forum (WEEF), Kuala Lumpur, pp 642–647. https://doi.org/10.1109/WEEF.2017.8467059

  22. Castro M et al (2019) 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), Lima, Perupp, pp 1–3

    Google Scholar 

  23. Solmaz S et al (2021) A practical development of engineering simulation-assisted educational AR environments. Educ Chem Eng 35:81–93

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Polina Buyvol .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Makarova, I., Fatikhova, L., Buyvol, P., Parsin, G. (2023). Impact Analysis of Changing Education Forms on the Future Engineers’ Motivation in Connection with COVID-19. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_34

Download citation

Publish with us

Policies and ethics