Abstract
Digitalization of all scopes of activities along with the rapid accumulation of information, development of technologies and the processes’ intellectualization pose global challenges in both the economy and education. Information technologies become an integral part of the human living space, causing the emergence of a new digital (networking) generation of people, for whom a mobile phone, a computer, and the Internet are the natural elements of their life. A universal approach to Smart Education is needed. Business requires engineers who can design, create and operate complex technical systems. At the same time, principles of sustainable development and minimization of negative environmental impacts must be observed. Educational system should ensure the quality of training engineers, who are needed by business and society. To realize this goal, there are opportunities associated with the use of such educational technologies as modeling, simulators, augmented and virtual reality. Ways to improve educational process with use of simulators and a virtual reality, as well as examples of using such training technologies to increase students’ motivation when training them for the automotive company are presented in the article.
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References
The Future of Jobs Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution (2016). http://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf
10 skills that will be the most actual by 2020 (in Russian). http://womo.ua/10-professionalnyih-navyikov-kotoryie-budut-nuzhnyi-v-2020-godu/
Global Human Capital Report (2017). http://reports.weforum.org/global-human-capital-report-2017/human-capital-report-2017/
Behzadan, A.H., Kamat, V.R.: A framework for utilizing context-aware augmented reality visualization in engineering education. In: 12th International Conference on Construction Application of Virtual Reality, Taipei, Taiwan, 1–2 November 2012, pp. 292–299 (2012)
Araya, D.: Education in the Creative Economy: Knowledge and Learning in the Age of Innovation. Peter Lang, New York (2010)
Brown, J.S.: Learning, Working and Playing in the Digital Age (2014). http://serendip.brynmawr.edu/sci_edu/seelybrown/
Zaugg, H., Davies, R., Parkinson, A.R., et al.: Creation and implementation of a backpack course to teach cross-cultural and virtual communications skills to students in an international capstone experience. In: 2011 ASEE Annual Conference and Exposition, Vancouver, BC, June 2011. https://peer.asee.org/17679
Makarova, I., Khabibullin, R., Pashkevich, A., et al.: Modeling as a method to improve road safety during mass events. Transp. Res. Procedia 20, 20430–20435 (2016)
Makarova, I., Pashkevich, A., Shubenkova, K.: Ensuring sustainability of public transport system through rational management. Procedia Eng. 178, 137–146 (2016)
Tosa, C., et al.: A methodology for modelling traffic related carbon monoxide emissions in suburban areas. Transport 28(2), 1–8 (2013)
Makarova, I., Shubenkova, K., Tikhonov, D., 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)
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This paper would not have been possible without the financial support in the frame of the European Regional Development Fund’s Doctoral Studies and Internationalisation Programme DoRa Plus which is carried out by Archimedes Foundation.
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Makarova, I., Shubenkova, K., Antov, D., Pashkevich, A. (2019). Digitalization of Engineering Education: From E-Learning to Smart Education. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_4
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