Effectiveness of cloud-based learning environments in the training of future specialists: A quasi-experimental study

Authors

DOI:

https://doi.org/10.46502/issn.1856-7576/2026.20.02.8

Keywords:

cloud-based learning, training, future specialists, cloud technologies, virtual augmented mixed reality technologies, higher education

Abstract

This study aims to evaluate the effectiveness of a cloud-based learning environment in the training of future specialists and its impact on the development of their professional competencies. A mixed-methods approach was employed, combining theoretical analysis, empirical methods, and statistical data processing. Statistical analysis was performed using ANOVA and Student’s t-test at a significance level of α = 0.05. The results demonstrated a significant improvement in the experimental group compared to the control group. In particular, the proportion of students with a high level of readiness to use cloud technologies increased by 20% in the EG, while the low level decreased by 34%. Similar positive dynamics were observed across system, interaction readiness, and satisfaction criteria. The statistical analysis confirmed significant differences between the groups (F = 32.17; p < 0.001), indicating the effectiveness of the implemented methodology. It is concluded that the integration of a cloud-based learning environment, supported by targeted pedagogical conditions and an author’s methodology, significantly enhances the professional training of future specialists. The findings highlight the potential of cloud technologies, including virtual and augmented reality tools, to improve educational outcomes in higher education.

Author Biographies

Sofiya Chovriy, Ferenc Rakoczi II Transcarpathian Hungarian University, Ukraine. 

Candidate of Pedagogical Sciences, Associate Professor, Associate Professor at the Department of Pedagogy, Psychology, Primary, Pre-School Education and Management of Educational Institutions, Ferenc Rakoczi II Transcarpathian Hungarian University, Ukraine. 

Liubov Prokopiv, Vasyl Stefanyk Кarpathian National University, Ukraine. 

Candidate of Pedagogical Sciences, Professor, Head of the Department of the Bohdan Stuparyk Department of Pedagogy and Educational Management, Vasyl Stefanyk Кarpathian National University, Ukraine. 

Mariana Dereniuk, Vasyl Stefanyk Carpathian National University, Ukraine. 

Doctor of Philosophy (PhD), Assistant of the Bohdan Stuparyk Department of Pedagogy and Educational Management, Vasyl Stefanyk Carpathian National University, Ukraine. 

Iryna Kuchera, Vasyl Stefanyk Carpathian National University, Ukraine. 

Candidate of Historical Sciences, Associate Professor, Associate Professor of the Department of Philosophy, Sociology and Religious Studies, Vasyl Stefanyk Carpathian National University, Ukraine. 

Denys Diahel, Bohdan Khmelnytskyi National Academy of the State Border Guard Service of Ukraine, Ukraine. 

PhD in State Border Security, Associate Professor of the Border Security Department, Faculty of Professional Education and Leadership, Bohdan Khmelnytskyi National Academy of the State Border Guard Service of Ukraine, Ukraine. 

References

Ariza, J., Jimeno, M., Villanueva-Polanco, R., & Capacho, J. (2021). Provisioning computational resources for cloud-based e-learning platforms using deep learning techniques. IEEE Access, 9, 89798–89811. https://doi.org/10.1109/ACCESS.2021.3090366

Carreón, G. G. (2025). Evaluating usability and cognitive load: A comparative study of cloud-based and local database systems in higher education. Journal of Information Technology Education: Innovations in Practice, 24, 3. https://doi.org/10.28945/5435

Carvalho, D. S., Castro, P. A. de, & Fernandes Sobrinho, M. (2024). Cloud tools in higher education: Literature review. Cadernos de Educação, Tecnologia e Sociedade, 17(2), 663–674. https://doi.org/10.14571/brajets.v17.n2.663-674

Gamboa-Cruzado, J., Espinoza-Garate, A., Julca-Zeña, J., Nuñez Meza, A., Durán Carhuamaca, A., & Amayo-Gamboa, F. (2025). Impact of cloud computing on higher education institutions: A comprehensive systematic review. International Journal of Online and Biomedical Engineering (iJOE), 21(12), 154–181. https://doi.org/10.3991/ijoe.v21i12.56811

Heck, T., Peters, I., Mazarakis, A., Scherp, A., & Blümel, I. (2020). Open science practices in higher education: Discussion of survey results from research and teaching staff in Germany. Education for Information, 36(3), 301–323. https://doi.org/10.3233/EFI-190272

Ignat, T., & Ayris, P. (2020). Built to last! Embedding open science principles and practice into European universities. Insights, 33(1), 9. https://doi.org/10.1629/uksg.501

Kalogiannakis, M., Papadakis, S., & Zourmpakis, A.-I. (2021). Gamification in science education: A systematic review of the literature. Education Sciences, 11(1), 22. https://doi.org/10.3390/educsci11010022

Kim, T., & Lim, J. (2019). Designing an efficient cloud management architecture for sustainable online lifelong education. Sustainability, 11(6), 1523. https://doi.org/10.3390/su11061523

Kotsev, A., Minghini, M., Tomas, R., Cetl, V., & Lutz, M. (2020). From spatial data infrastructures to data spaces: A technological perspective on the evolution of European SDIs. ISPRS International Journal of Geo-Information, 9(3), 176. https://doi.org/10.3390/ijgi9030176

Larcher, L., Ströele, V., & Dantas, M. (2021). A cloud based system for distance learning supported by Fog Cloud cooperation. International Journal of Grid and Utility Computing, 12(5/6), 618–634. https://doi.org/10.1504/IJGUC.2021.120113

Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020). Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 7, 11. https://doi.org/10.1186/s40594-020-00207-6

Nascimento, A., Olimpio, V., Silva, V., Paes, A., & de Oliveira, D. (2019). A reinforcement learning scheduling strategy for parallel cloud-based workflows. In Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp. 817–824). https://doi.org/10.1109/IPDPSW.2019.00134

Ramírez-Donoso, L., Rojas-Riethmuller, J. S., Pérez-Sanagustín, M., Neyem, A., & Alario-Hoyos, C. (2017). MyMOOCSpace: A cloud-based mobile system to support effective collaboration in higher education online courses. Computers Applications in Engineering Education, 25(5), 910–926. https://doi.org/10.1002/cae.21843

Rivera, L. F. Z., Larrondo-Petrie, M. M., & Da Silva, L. R. (2017). Implementation of cloud based smart adaptive remote laboratories for education. In 2017 IEEE Frontiers in Education Conference (FIE) (pp. 1–5). https://doi.org/10.1109/FIE.2017.8190473

Shuliak, A., Hedzyk, A., Tverezovska, N., Fenchak, L., Lalak, N., Ratsul, A., & Kuchai, O. (2022). Organization of Educational Space Using Cloud Computing in the Professional Training of Specialists. International Journal of Computer Science and Network Security, 22(9), 447-454. https://doi.org/10.22937/IJCSNS.2022.22.9.58

Tenorio-Sepúlveda, G. C., Muñoz-Ortiz, K. d. P., Nova-Nova, C. A., & Ramírez-Montoya, M. S. (2021). Diagnostic instrument of the level of competencies in cloud computing for teachers in Education 4.0. In L. M. Camarinha Matos, X. Boucher, & H. Afsarmanesh (Eds.), Smart and sustainable collaborative networks 4.0. PRO VE 2021 (IFIP Advances in Information and Communication Technology, Vol. 629, pp. 724–736). Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_62

Vargas, B. C., & Virtanen, S. (2023). A cloud-based systematic cyber security teaching and learning framework for high school students. International Journal of Knowledge and Learning, 16(3), 316–339. https://doi.org/10.1504/IJKL.2023.132163

Downloads

Published

2026-06-30

How to Cite

Chovriy, S., Prokopiv, L., Dereniuk, M., Kuchera, I., & Diahel, D. (2026). Effectiveness of cloud-based learning environments in the training of future specialists: A quasi-experimental study. Eduweb, 20(2), 119–136. https://doi.org/10.46502/issn.1856-7576/2026.20.02.8

Issue

Vol. 20 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Sofiya Chovriy, Liubov Prokopiv, Mariana Dereniuk, Iryna Kuchera, Denys Diahel

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Most read articles by the same author(s)