The concept of intelligent training system for Ukrainian school final STEM exam preparation

Authors

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2025.2.09

Keywords:

intelligent tutor system, National multi-subject test, math problems

Abstract

The National Multi-subject Test has been prepared and conducted in Ukraine in online learning conditions for several years. Test results show a decline in schoolchildren’s performance in mathematics. The article presents a prototype of an intelligent training system for solving mathematical problems that should become an accessible test preparation tool. The system provides a solution to a wide range of mathematical problems in a step-by-step mode. The system is developed in accordance with the principle of rational management by diagnosis, which implies the presence of many diagnostic models. It allows for deep diagnostics of student errors. Artificial intelligence tools will make it possible to implement individual recommendations for each student, taking into account their level of preparation and learning goals.

Author Biographies

Anatoliy Kulik, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Doctor of Technical Sciences, a professor at the Department of Aircraft Control Systems of National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Oleg Zeleniak, Olexandriya Multi-Profile Lyceum, Olexandriya

Honored Teacher of Ukraine, Candidate of Pedagogical Sciences (Ph.D.), teacher of the highest category at the Olexandriya Multi-Profile Lyceum, Olexandriya, Ukraine.

Andriy Chukhray, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Doctor of Technical Sciences, a professor at the Department of Software Engineering of the National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Oleksandr Prokhorov, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Doctor of Technical Sciences, a professor at the Department of Computer Science and Information Technology of the National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Olena Yashyna, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Candidate of Technical Sciences (Ph.D.), an associate professor at the Department of Computer Science and Information Technology of the National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Olena Havrylenko, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Candidate of Technical Sciences (Ph.D.), an associate professor at the Department of Aircraft Control Systems of National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Oleksandr Yevdokymov, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Ph.D. student at the Department of Mathematical Modeling and Artificial Intelligence of the National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

Andrii Torzhkov, SoftServe

Senior Java Software Engineer at “SoftServe”, Ukraine.

Oleksii Zayarnyi, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv

Ph.D. student at the Department of Mathematical Modeling and Artificial Intelligence of the National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine.

References

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Published

2025-06-28

Issue

Section

Scientific and methodological problems in education