Features of using AI to improve the quality of teaching mathematics and developing mathematical thinking skills in modern students

this work is devoted to the study of the use of artificial intelligence (AI) in the process of teaching mathematics. The review analyzes existing and promising technologies, such as automated task checking systems, personalized learning platforms, tools for visualizing mathematical objects and adaptive learning methods. The advantages and potential disadvantages of using AI in the educational process are considered, including the impact on student motivation, the development of critical thinking and the formation of 21st century competencies. The study was conducted using a mixed methodological approach, including a systematic literature review, an experimental study of the effectiveness of AI tools, qualitative analysis, and statistical analysis. The author of this article offers her own recommendations on the effective use of AI to improve the quality of teaching mathematics and develop mathematical thinking skills in modern students. During the study, it was found that the use of intelligence tests opens up the possibility of creating individual educational trajectories for each student and optimizing the delivery of material in accordance with their specific needs.

artificial intelligence, mathematical education, personalized learning, mathematical thinking, adaptive learning systems, digital technologies in education