PRACTICAL EXPERIENCE IN IMPLEMENTING AN ORIGINAL EDUCATIONAL ONLINE PLATFORM IN THE EDUCATIONAL PROCESS OF A GENERAL SECONDARY EDUCATION INSTITUTION

Authors

DOI:

https://doi.org/10.31110/fmo2025.v40i1-05

Keywords:

artificial intelligence, ai, blended learning, neural networks, programming, educational platforms, code verification, online programming tools

Abstract

Formulation of the problem. Ukrainian scientists are actively exploring the possibilities of using digital technologies in education. The article describes the practical experience of implementing the author's online platform, VirtualLaboratories, in the educational process of a general secondary education institution. VirtualLaboratories is an academic platform for teaching programming that aims to use artificial intelligence to automate certain processes of writing code and evaluating and testing ready-made software solutions.

Materials and methods. Myronivsky Academic Lyceum No. 3 of the Myronivsky City Council of the Kyiv Region became the experimental base. The experiment covered the following subjects: computer science, some math lessons where programming elements were used, and an elective in programming in grades 6-9.

Results. The authors conducted a practical experimental study using the online platform VirtualLaboratories. It is confirmed that the use of the platform allows students to independently perform program tasks in various programming languages (SQL, C#,
and Python) with the ability to receive automatic feedback using the system itself. The advantages of using the educational platform in the educational process for teachers and students
are presented, and a discussion is held on the prospects
and possible directions for updating the new version of the platform.
 

Conclusion. The experiment showed the effectiveness of using the online platform in a blended learning environment, namely when combining traditional programming training with online platform tools. It made it possible to continuously monitor students' performance, increase motivation, and ensure an individual approach to learning. Future research plans to expand the list of supported programming languages to include Java, JavaScript, PHP, C++, and Rust to reach more students and develop the platform's capabilities.

Downloads

Download data is not yet available.

References

GitHub Copilot. (2023). User Study, 2023. Retrieved from https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-on-developer-productivity-and-happiness.

GitHub Education. (2023). GitHub Education Annual Report, 2023. Retrieved from https://education.github.com/.

GitHub. (2023). Developer Survey, 2023. Retrieved from https://github.blog/news-insights/research/the-economic-impact-of-the-ai-powered-developer-lifecycle-and-lessons-from-github-copilot.

Green, J. (2021). Introduction to the .NET and C# Platform: A Practical Guide for Developers. Lviv: Nova Zorya Publishing House. (in Ukrainian).

Jemni, M., & Khribi, M. K. (2017). ALECSO smart learning framework. Retrieved from https://slejournal.springeropen.com/articles/10.1186/s40561-021-00170-x.

McKinsey, & Company. (2021). New global data reveal education technology’s impact on learning. Retrieved from https://www.mckinsey.com/industries/education/our-insights/new-global-data-reveal-education-technologys-impact-on-learning.

Morze, N., & Strutynska, О. (2021) Digital transformation in society: key aspects for model development. Journal of Physics Conference Series, 1946(1), 012021. https://doi.org/10.1088/1742-6596/1946/1/012021.

Ng, A. (n.d.). Origins of the Modern MOOC (xMOOC). Retrieved from https://www.andrewng.org/.

Strutynska, O.V., Torbin, G.M., Umryk, M.A., & Vernydub, R.M. (2020). Digitalization of the educational process for the training of the pre-service teachers. CEUR Workshop Proceedings, 2879, 179-199. Retrieved from: http://ceur-ws.org/Vol-2879/paper07.pdf

UNESCO. (2023). Global education monitoring report summary. Retrieved from https://www.unesco.org/en/articles/global-education-monitoring-report-summary-2023-technology-education-tool-whose-terms-hin.

Zhu, X., Wang, Y., & Liu, J. (2016). Smart education framework. Smart Learning Environments. Retrieved from https://slejournal.springeropen.com/articles/10.1186/s40561-021-00170-x.

Zhaldak, M. I., & Ramskyi, Yu. S. (2010). Shkilnii informatytsi–25! [School Informatics–25!] Naukovyi chasopys Ukrainskoho derzhavnoho universytetu imeni Mykhaila Drahomanova. Seriia 2. Kompiuterno-oriientovani systemy navchannia – Scientific Journal of the Mykhailo Drahomanov Ukrainian State University. Series 2. Computer-Oriented Learning Systems, 8 (15), 3-19. (in Ukrainian).

Kolodiichuk, O., & Sydorenko, O. (2020). Vykorystannia shtuchnoho intelektu v osvitnikh protsesakh: mizhnarodnyi dosvid [Using Artificial Intelligence in Educational Processes: International Experience]. Teoriia i praktyka realizatsii suchasnykh pedahohichnykh metodyk ta tekhnolohii v osviti – Theory and Practice of Implementing Modern Pedagogical Methods and Technologies in Education. Retrieved from https://lib.iitta.gov.ua/727300/. (in Ukrainian).

Umryk, M., & Koval, O. (2024) Vykorystannia shtuchnoho intelektu dlia avtomatyzatsii protsesu stvorennia osvitnikh testiv [Using Artificial Intelligence to Automate the Process of Creating Educational Tests]. Mizhdystsyplinarni doslidzhennia skladnykh system – Interdisciplinary Studies of Complex Systems, 24, 179-200. https://doi.org/10.31392/iscs.2024.24. (in Ukrainian).

Published

27.02.2025

How to Cite

Koval, O., & Umryk, M. (2025). PRACTICAL EXPERIENCE IN IMPLEMENTING AN ORIGINAL EDUCATIONAL ONLINE PLATFORM IN THE EDUCATIONAL PROCESS OF A GENERAL SECONDARY EDUCATION INSTITUTION. Physical and Mathematical Education, 40(1), 34-41. https://doi.org/10.31110/fmo2025.v40i1-05