PRACTICAL EXPERIENCE IN IMPLEMENTING AN ORIGINAL EDUCATIONAL ONLINE PLATFORM IN THE EDUCATIONAL PROCESS OF A GENERAL SECONDARY EDUCATION INSTITUTION
DOI:
https://doi.org/10.31110/fmo2025.v40i1-05Keywords:
artificial intelligence, ai, blended learning, neural networks, programming, educational platforms, code verification, online programming toolsAbstract
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.
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