DEVELOPING ALGORITHMIC THINKING THROUGH SCRATCH, PYTHON, AND AI

Abstract

The rapid development of digital technologies imposes new requirements on the formation of students’ algorithmic thinking in the educational process. In this context, the use of Scratch, Python, and artificial intelligence tools is considered an effective mechanism for teaching programming fundamentals. The Scratch environment allows students to visually develop the initial structures of algorithmic thinking, while the Python language enables a conscious understanding of logical structures, conditional statements, and loops. AI-based tools, in turn, take into account students’ individual characteristics, adapt the learning process, and support the development of skills for analyzing programming tasks. This study highlights the pedagogical potential of integrating these technologies to develop algorithmic thinking and demonstrates their impact on students’ cognitive activity and creative abilities.