Improving the Quality of Engineering Education by Developing the System of Increasing Students’ Motivation

  • Irina Makarova
  • Ksenia Shubenkova
  • Danila Tikhonov
  • Polina Buyvol
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)


Currently, intellectualization processes cover all areas of activity, which is accompanied by an increase in the requirements for the competence of engineers. At the same time, interest of young people in obtaining an engineering education has decreased in many countries. The authors have studied the causes of this phenomenon. The article is devoted to analysis of relation between the quality of engineering education and the level of students motivation. Ways to increase motivation through the application of innovative technologies and creation the learning outcomes monitoring system are considered.


Education quality control system Motivation to study  Engineering education 


  1. 1.
  2. 2.
    Norberg, A., Dzuiban, C., Moskal, P.D.: A time-based blended learning model. On the Horizon 19, 207–216 (2011)CrossRefGoogle Scholar
  3. 3.
    Karabulut-Ilgu, A., Jahren, C.: Evaluation of hybrid learning in a construction engineering context: a mixed-method approach. Adv. Eng. Educ. 5, 1–26 (2016)Google Scholar
  4. 4.
    Bonk, C.J., Dennen, V.: Frameworks for research, design, benchmarks, training, and pedagogy in web-based distance education. In: M.G. Moore (ed.) Handbook of Distance Education, pp. 331–348. Routledge, New York (2013)Google Scholar
  5. 5.
    Zawojewski, J.S., Diefes-Dux, H., Bowman, K.: Models and Modeling in Engineering Education, 35 p. Sense Publishers, Rotterdam (2008)Google Scholar
  6. 6.
    Balamuralithara, B., Woods, P.C.: Virtual Laboratories in Engineering Education: The Simulation Lab and Remote Lab.
  7. 7.
    Çakıroglu, U., Basıbüyük, B., Güler, M., Atabay, M., Memis, B.Y.: Gamifying an ICT course: influences on engagement and academic performance. Comput. Hum. Behav. 69, 98–107 (2017)CrossRefGoogle Scholar
  8. 8.
    Yáñez-Gómez, R., Cascado-Caballero, D., Sevillano, J.-L.: Academic methods for usability evaluation of serious games: a systematic review. Multimed. Tools Appl. 76, 5755–5784 (2017)CrossRefGoogle Scholar
  9. 9.
    Bhoir, S., Esmaeili, B.: State-of-the-Art review of virtual reality environment applications in construction safety. In: AEI 2015, pp. 457–468 (2015)Google Scholar
  10. 10.
    Martín-Gutiérrez, J., Fabiani, P., Benesova, W., Meneses, M.D., Mora, C.E.: Augmented reality to promote collaborative and autonomous learning in higher education. Comput. Hum. Behav. 51, 752–761 (2015)CrossRefGoogle Scholar
  11. 11.
    Ribón, J.C.R., Villalba, L.J.G., Kim, T.: Virtual learning communities: unsolved troubles. Multimed. Tools Appl. 74, 8505–8519 (2015)CrossRefGoogle Scholar
  12. 12.
    Webel, S., Bockholt, U., Engelke, T., Gavish, N., Olbrich, M., Preusche, C.: An augmented reality training platform for assembly and maintenance skills. Robot. Auton. Syst. 61, 398–403 (2013)CrossRefGoogle Scholar
  13. 13.
    Wu, H.K., Lee, S.W., Chang, H.Y., Liang, J.C.: Current status, opportunities and challenges of augmented reality in education. Comput. Educ. 62, 41–49 (2013)CrossRefGoogle Scholar
  14. 14.
    Badmaeva, N.C.: Vliyaniye motivatsionnogo razvitiya na razvitiye umstvennykh sposobnostey, 280 p. Izd-vo VSGTU, Ulan-Ude (2004)Google Scholar
  15. 15.
    Metodika izucheniya motivatsii obucheniya v vuze T.I. Il’inoy.
  16. 16.
    Khagurov, T.A., Ostapenko, A.A.: Reforma obrazovaniya glazami uchiteley i prepodavateley: opyt sotsiologicheskogo issledovaniya. Ins-t RAN; Ros. akad. sots. Nauk, Krasnodar. regin, 107 p. Otd-ye.- M.-Krasnodar, Parabellum (2013)Google Scholar
  17. 17.
    Milligan, C., Littlejohn, A.: Why Study on a MOOC? The motives of students and professionals. Int. Rev. Res. Open Distrib. Learn. 18, 92–102 (2017)CrossRefGoogle Scholar
  18. 18.
    Graven, O.H., Bjørk, J.: The use of an Arduino pocket lab to increase motivation in Electrical Engineering students for Programming. In: 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp. 239–243 (2016)Google Scholar
  19. 19.
    Wang, Y.-H.: The effectiveness of integrating teaching strategies into IRS activities to facilitate learning. J. Comput. Assist. Learn. 33, 35–50 (2017)CrossRefGoogle Scholar
  20. 20.
    Bloom, B.S.: Taxonomy of Educational Objectives Book 1: Cognitive Domain Paperback. David McKay Company Inc./Longmans, New York (1956). 207 p.Google Scholar
  21. 21.
    Bengoetxea, E., Kallioinen, O., Schmidt-Jortzig, I., Thorn, R.: Quality Assurance in Lifelong Learning, 32 p. European Association for Quality Assurance in Higher Education, Brussels (2011)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Irina Makarova
    • 1
  • Ksenia Shubenkova
    • 1
  • Danila Tikhonov
    • 1
  • Polina Buyvol
    • 1
  1. 1.Kazan Federal UniversityNaberezhnye ChelnyRussian Federation

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