Аннотация
Artificial intelligence, as a product of human creativity, is widely used in modern society and is deeply penetrating the field of art. In particular, in the domain of dance, AI has become a new tool for choreographers. These changes have led to the need to modernize teaching methods in choreography and to implement innovative approaches aligned with current demands. This study explores the integration of artificial intelligence (AI) technologies into the training process of choreography specialists. The main objective of the research is to develop innovative teaching methods using AI to train professionals in the field of choreography. The study involves the analysis of scholarly works by both foreign and domestic researchers who have studied the application of AI in the arts. Existing AI platforms used in choreographic practice are identified. A model of the "Dance Composition" course curriculum incorporating AI is developed, and the proposed methodology is tested through experimental implementation. The results obtained during the research demonstrate the positive impact of AI technologies on the choreography education system, their contribution to enhancing students’ creative abilities, and their potential to complement traditional teaching methods. Additionally, the study highlights the importance of considering pedagogical ethics and creative autonomy when integrating AI into the educational process. By analyzing international experience and effectively utilizing modern digital solutions, Kazakhstan’s system of choreography training can enhance its competitiveness. This opens the door for future choreographers to become well-rounded professionals capable of adapting to the digital cultural environment. Overall, the research findings show that the effective integration of artificial intelligence into the field of choreography contributes to the modernization of Kazakhstan’s education system, the development of students’ creative competencies, and the preservation of national art in a contemporary and relevant format.