Article

Simulation training in higher education: Assessment of perceived effectiveness and students’ readiness to develop professional competencies

Larysa Shevchuk, Andrii Hryhorenko, Oksana Shevchuk
Retrieved from Vol. 5, No. 1, 2026 Pages 20–29
Received
02.12.2025
Revised
27.03.2026
Accepted
12.05.2026
Published
22.06.2026
Views
6

Abstract

The relevance of the topic is due to the need to introduce simulation technologies into the professional training of future specialists in the context of digitalisation of education and increased requirements for practical competence, which is confirmed by empirical data: 94.22% of surveyed students reported that the use of simulation complexes enhances the effectiveness of learning, and 97.77% positively evaluated the learning process in electronic simulation environments. The aim of the study was to identify the factors that influenced students’ readiness to use simulation software packages within the electronic educational environment of higher education institutions. The empirical base (methods) was formed on the results of an online survey in which 450 students from Ukrainian universities participated on a voluntary basis. The study analysed students’ attitudes toward simulation technologies, their learning preferences, and their level of readiness to use software simulation systems in the learning process. The results showed that e-learning using simulation systems was effective under the following conditions: realistic training scenarios; the possibility of repeatedly practicing practical actions without the risk of errors in a real environment; adaptation of the educational process to the level of student preparation; increased motivation due to interactivity and gamification. At the same time, it was found that the conclusions regarding the development of professional competencies were based primarily on students’ self-evaluations, and therefore required further empirical verification using objective diagnostic tools. The practical significance of the results consisted in the possibility of using them to modernise educational programs and to improve the electronic educational environment of higher education institutions

Keywords

References

  1. Ahuja, V. (2024). Simulations in business education: Unlocking experiential learning. In V. Membrive (Ed.), Practices and implementation of gamification in higher education. Pennsylvania:  IGI Global Scientific Publishing. doi: 10.4018/979-8-3693-0716-8.ch001.
  2. Alharbi, A., Nurfianti, A., Mullen, R.F., McClure, J.D., & Miller, W.H. (2024). The effectiveness of simulation-based learning (SBL) on students’ knowledge and skills in nursing programs: A systematic review. BMC Medical Education, 24, article number 1099. doi: 10.1186/s12909-024-06080-z.
  3. Ali, M.S. (2025). A meta-analysis of simulation based learning and instructional support in higher education. Journal of Enterprise and Business Intelligence, 5(4), 234-247. doi: 10.53759/5181/JEBI202505023.
  4. Antoniuk, D.S., Spiryn, O.M., & Vakalyuk, T.A. (2023). Using digital business simulators in the economic and management development of the master’s degree of information technologies. Information Technologies and Learning Tools, 94(2), 72-86. doi: 10.33407/itlt.v94i2.5172.
  5. Binsztok, A., Butryn, B., Hołowińska, K., Owoc, M. L., & Sobińska, M. (2022). Business computer simulation supporting competencies: Potential areas of application and barriers. Procedia Computer Science, 207, 3875-3883. doi: 10.1016/j.procs.2022.09.449.
  6. Buil, I., Catalán, S., & Martínez, E. (2019). Engagement in business simulation games: A self-system model of motivational development. British Journal of Educational Technology, 51(1), 297-311. doi: 10.1111/bjet.127624.
  7. Chepelieva, N.V., Smulson, M.L., & Rudytska, S.Yu.(2025). Development of personal life competence in conditions of martial law and post-war recovery of Ukraine. Kyiv: H.S. Kostiuk Institute of Psychology National Academy of Pedagogical Sciences of Ukraine.
  8. Chernenko, V.P., Pochtovyuk, S.I., Vakaliuk, T.A., Shevchuk, L.D., & Slon, Y.V. (2021). Information system of economic and mathematical modelling of pricing in the residential sector of Ukraine. Journal of Physics: Conference Series, 1840(1), article number 012025. doi: 10.1088/1742-6596/1840/1/012025.
  9. Chernikova, O., Heitzmann, N., Stadler, M., Holzberger, D., Seidel, T., & Fischer, F. (2020). Simulation-based learning in higher education: A meta-analysis. Review of Educational Research, 90(4), 499-541. doi: 10.3102/0034654320933544.
  10. Dron, J. (2022). Educational technology: What it is and how it works. AI & Society, 37, 155-166. doi: 10.1007/s00146-021-01195-z.
  11. Ethical Code of a Scientist of Ukraine. (2009). Retrieved from https://zakon.rada.gov.ua/go/v0002550-09.
  12. European Social Simulation Association. (n.d.). Retrieved from https://essa.eu.org.
  13. Feijoo-Garcia, M.A., Holstrom, M.S., Magana, A.J., & Newell, B.A. (2024). Simulation-based learning and argumentation to promote informed design decision-making processes within a first-year engineering technology course. Sustainability, 16(7), article number 2633. doi: 10.3390/su16072633.
  14. Haleem, A., Javaid, M., Qadri, M.A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285. doi: 10.1016/j.susoc.2022.05.004.
  15. Korolyuk, S.R., & Kononets, N.V. (2022). Application of simulation as an interactive teaching method. In Resource-oriented learning in “3D”: Accessibility, dialogue, dynamics (pp. 165-167). Poltava: PUET.
  16. Kos, I.R. (2024). Artificial intelligence and interactive simulations as innovative learning tools in physics lessons. Scientific Notes. Series: Pedagogical Sciences, 215, 177-182. doi: 10.36550/2415-7988-2024-1-215-177-182.
  17. Kravchuk, G.T., & Shevchuk, T.V. (2019). Simulation as an interactive method of training future economists. Physical and Mathematical Education, 2(20), 59-65. doi: 10.31110/2413-1571-2019-020-2-010.
  18. Kurtz, M., Benabbou, A., Pons, C., & Broisin, J. (2025). Collaboration in virtual and remote laboratories for education: A systematic literature review. International Journal of Computer-Supported Collaborative Learning, 20, 549-603. doi: 10.1007/s11412-025-09454-7.
  19. Llanos-Ruiz, D., Abella-García, V., & Ausín-Villaverde, V. (2025). Virtual reality in higher education: A systematic review aligned with the sustainable development goals. Societies, 15(9), article number 251. doi: 10.3390/soc15090251.
  20. Meronda, D., Widarti, H., & Yahmin, Y. (2025). Virtual laboratories in science education: A systematic review of effectiveness on conceptual understanding and learning outcomes. Jurnal Pendidikan MIPA, 26, 2020-2042. doi: 10.23960/jpmipa.v26i3.pp2020-2042.
  21. Mohammadi, M., Paasivara, M., & Kasurinen, J. (2025). Blended learning in higher education: Good practices in platforms and teacher support enhancing students’ motivation. Education and Information Technologies. doi: 10.1007/s10639-025-13770-8.
  22. Negahban, A. (2024). Simulation in engineering education: The transition from physical experimentation to digital immersive simulated environments. SIMULATION, 100(7), 695-708. doi: 10.1177/00375497241229757.
  23. Peters, T.D., & Stamp, P.L. (2021). The virtual workplace: The impact of embedding business simulations into classroom culture. Journal of Education for Business, 96(6), 373-380. doi: 10.1080/08832323.2020.1838411.
  24. Prigunov, O.V., & Yavorska, Yu.L. (2023). Innovative approaches and information technologies in the organisational support of educational activities. Library Science. Documentary Science. Informatology, 4, 146-155. doi: 10.32461/2409-9805.4.2023.294098.
  25. Sakun, L., Pochtovyuk, S., Shevchuk, L., & Bilyk, O. (2020). Introduction of innovative educational methods in the organisation of the education process of electrical engineers. In Proceedings of the 25th IEEE international conference on problems of automated electric drive. Kremenchuk: IEEE. doi: 10.1109/PAEP49887.2020.9240837.
  26. Senadheera, V.V., Ediriweera, D.S., & Rupasinghe, T.P. (2024). Instructional design models for digital learning in higher education: A scoping review. Journal of Learning for Development, 11(1), 15-26. doi: 10.56059/jl4d.v11i1.973.
  27. Uryvskyi, L.O., Moshynska, A.V., & Osypchuk, S.O. (2022). Simulation modeling of systems and processes in telecommunications. Kyiv: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute.”
  28. Velez, A., & Alonso, R.K. (2025). Business simulation games for the development of decision making: Systematic review. Education Sciences, 15(2), article number 168. doi: 10.3390/educsci15020168.

Suggested citation

Shevchuk, L., Hryhorenko, A., & Shevchuk, O. (2026). Simulation training in higher education: Assessment of perceived effectiveness and students’ readiness to develop professional competencies. Scientia et Societus, 5(1), 20-29. https://doi.org/10.69587/ss/1.2026.20