Study of Digital Competence of the Students and Teachers in Ukraine

  • Olena KuzminskaEmail author
  • Mariia Mazorchuk
  • Nataliia Morze
  • Vitaliy Pavlenko
  • Aleksander Prokhorov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1007)


Professional fulfillment of the personality at the conditions of the digital economy requires the high level of digital competency. One of the ways to develop these competencies is education. However, to provide the implementation of digital education at a high level, the digital competency of the teachers and students is a must. This paper presents explanations on the level determination of the digital competencies for teachers and students in Ukraine according to the DigComp recommendations. We tried to identify the main factors that reflect the degree of readiness teachers and students for digital education based on their self-evaluation. We also attempted to estimate the level of digital competencies based on the analysis of Case-Studies execution results. The complex analysis let us assess the connection between respondents’ self-evaluation and their real competencies. Here we provide a methodology and a model of level competencies determination by means of a survey, expert case rating and the results of the statistical analysis. On the basis of the obtained results, this paper suggests further research prospects and recommendations on the digital competency development in educational institutions in Ukraine.


Digital competencies Case studies Survey Principal component analysis Education 


  1. 1.
    Digital Transformation Initiative Telecommunications Industry World Economic Forum (2017). Accessed 25 Sept 2018
  2. 2.
  3. 3.
    Europe 2020 strategy. Accessed 25 Sept 2018
  4. 4.
    Digital agenda for Ukraine. Accessed 25 Sept 2018
  5. 5.
    Digital agenda for Europe. Accessed 25 Sept 2018
  6. 6.
    New Skills for the Digital Economy. Accessed 25 Sept 2018
  7. 7.
    The Digital Economy and Society Index (DESI). Accessed 25 Sept 2018
  8. 8.
    Akca, H., Sayili, M., Esengun, K.: Challenge of rural people to reduce digital divide in the globalized world: theory and practice. Gov. Inf. Q. 24(2), 404–413 (2004)CrossRefGoogle Scholar
  9. 9.
  10. 10.
    A common European framework for ICT Professionals in all industry sectors. Accessed 25 Sept 2018
  11. 11.
    ECDL Foundation: Computing and Digital Literacy: Call for a Holistic Approach ECDL Foundation. Accessed 25 Sept 2018
  12. 12.
    Global Media and Information Literacy Assessment Framework: Country Readiness and Competencies. UNESCO, France. Accessed 25 Sept 2018
  13. 13.
    The Digital Competence Framework for citizens. Accessed 25 Sept 2018
  14. 14.
    Digital competence. Accessed 25 Sept 2018
  15. 15.
    Learning and Skills for the Digital Era. Accessed 25 Sept 2018
  16. 16.
    The Digital Competence Framework for Citizens. Accessed 25 Sept 2018
  17. 17.
    Conoce el diagnóstico de tu nivel de competencias digitales. Accessed 25 Sept 2018
  18. 18.
    James, T., Miller, J.: Developing a monitoring and evaluation plan. In: Wagner, D., Day, B., James, T., Kozma, R., Miller, J., Unwin, T. (eds.) Monitoring and Evaluation of ICT in Education Projects, pp. 57–76. infoDev, World Bank, Washington, DC (2005)Google Scholar
  19. 19.
    Morze, N., Glazunova, O., Kuzminska, O.: Training of E-learning managers at universities. In: Bassiliades, N., et al. (eds.) ICTERI 2017. CCIS, vol. 826, pp. 89–111. Springer, Cham (2018). Scholar
  20. 20.
    ECTS Users’ Guide 2015.
  21. 21.
    Online Statistics Education: A Multimedia Course of Study. ( Project Leader: David M. Lane, Rice University. Moore, D., McCabe, G.: Introduction to the Practice of Statistics, 3th Ed. Freeman (1998)
  22. 22.
    Kendall, M.G., Smith, B.B.: The problem of m rankings”. Ann. Math. Stat. 10(3), 275–287 (1939). Scholar
  23. 23.
    Harrell, F.E.: Regression Modeling Strategies. Springer, Cham (2015). Scholar
  24. 24.
    Field, A.: Discovering Statistics Using SPSS (and Sex and Drugs and Rock ‘n’ Roll), Los Angeles [i.e. Thousand Oaks, Calif.].SAGE Publications (2009)Google Scholar
  25. 25.
    Levesque, R.: SPSS Programming and Data Management. A Guide for SPSS and SAS Users, 2nd edn. SPSS Inc., Chicago (2005)Google Scholar
  26. 26.
    Carmines, E., Zeller, R.: Reliability and validity assessment. Quantitative applications in the social sciences series no. 17. Sage Publications, London (1979)CrossRefGoogle Scholar
  27. 27.
    Kutner, M., Nachtsheim, C., Neter, J., Li, W.: Applied Linear Statistical Models. McGraw-Hill/Irwin, Homewood (2004)Google Scholar
  28. 28.
    Jolliffe, I.: Principal Component Analysis, 2nd edn. Springer, New York (2002)zbMATHGoogle Scholar
  29. 29.
    Kuzminska, O., Mazorchuk, M., Morze, N., Pavlenko, V., Prokhorov, A.: Digital Competency of the students and teachers in Ukraine: measurement, analysis, development prospects. In: Information and Communication Technologies in Education, Research, and Industrial Applications. Communications in Computer and Information Science, vol. 2104, pp. 366–379 (2018).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Olena Kuzminska
    • 1
    Email author
  • Mariia Mazorchuk
    • 2
  • Nataliia Morze
    • 3
  • Vitaliy Pavlenko
    • 2
  • Aleksander Prokhorov
    • 2
  1. 1.National University of Life and Environmental Sciences of UkraineKievUkraine
  2. 2.National Aerospace University “KhaI”KharkivUkraine
  3. 3.Boris Grinchenko Kyiv UniversityKievUkraine

Personalised recommendations