This article presents a methodology for developing algorithmic and spatial thinking in university students through solving robot motion modeling problems. The study proposes an interdisciplinary approach aimed at fostering students' logical, spatial, and algorithmic reasoning skills.

The effectiveness of the step-by-step integration of the ErgoBot simulator and practical tasks performed on a paper grid into the educational process was analyzed using methods such as pedagogical experiment, surveys, and observation. The research was conducted with first-year students of the Aktobe Construction and Technical College. Over the course of a six-week educational program, 12 robot motion modeling tasks were utilized.

The article considers robot motion modeling not only as a means of developing technical skills but also as a tool for fostering metacognitive abilities such as planning, self-monitoring, and reflection. The application of this methodology is recommended for teacher training programs, including courses such as «Robotics», «Methods of Teaching Informatics» and «STEM Education». Through this methodology, students not only learn the basics of programming but also develop skills in modeling and solving real-life problems. In addition, working on tasks in groups helps enhance their communication skills and teamwork abilities. This has a positive impact on the professional and social adaptation of future educators. Furthermore, the research results confirm that this approach contributes to the development of a functionally literate and creatively inclined individual.

ZHUBAEV A.K.

Сandidate of phisical-mathematical sciences (PhD), docent, К.Zhubanov Aktobe regional university, Aktobe, Kazakhstan.

E-mail: azhubaev@zhubanov.edu.kz, https://orcid.org/0009-0000-7148-9403

IKHSANOVA A.S.

Master’s student, K. Zhubanov Aktobe Regional University, Aktobe, Kazakhstan.

Е-mail: ainsamat@mail.ru, https://orcid.org/0009-0000-7998-3756

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robotics, educational technologies, algorithmic thinking, spatial thinking, robot motion modeling, STEM, teaching methodology