ARTIFICIAL INTELLIGENCE AND STEM EDUCATION: METHODOLOGICAL COMPLEXES IN ROBOTICS

Abstract

This article comprehensively examines methodological solutions for integrating artificial intelligence (AI) into the STEM education system, particularly in the field of robotics. The significance of STEM education, its development features in Kazakhstan, and the role of AI in the educational process are discussed. The article describes the use of modern pedagogical approaches such as gamification, the integration of AI technologies into project-based learning, and the provision of adaptive tasks in teaching. In addition, it highlights ways of developing students’ creativity and algorithmic thinking skills through the use of AI tools in robotics classes. Special emphasis is placed on how AI solutions in programming and automating robots contribute to enhancing students’ research skills. Practical examples from classroom experience are presented and analyzed in terms of their impact on improving the quality of teaching. Finally, the article considers the future prospects for advancing STEM–AI integration, the need to strengthen teachers’ professional training, and the adoption of international best practices.