Compositional tools based on artificial intelligence for choral artistic education: Enhancing creative skills in choral arrangements

Abstract

Artificial intelligence (AI) demonstrates significant advantages in the educational domain, including choral artistic education. The primary objective of this research is to empirically assess the impact of integrating AI into the traditional academic curriculum on the development of choral arrangement musical skills and creative abilities among students. The study was conducted among 70 third-year students at a Chinese university (45.71 % men and 54.29 % women), with an average age of 20.34 years. The evaluation utilized the Creative Skills Assessment Scale and a standardized methodology for assessing choral arrangement skills. The AI tool employed was the KITS AI program. In the experimental group, a significant increase in creative skills was observed: the ability for innovation increased by 6.26 points, originality of ideas by 5.88 points, and depth of musical understanding by 3.34 points. No statistically significant changes were observed in the control group. Progress was also noted in specific choral arrangement skills, where the experimental group showed improvement by 5.06 points in harmony selection, 4.2 points in voice distribution, and 5 points in melody and rhythm adaptation. Mann-Whitney criterion analysis confirmed that AI integration contributed to a substantial enhancement of both creative and specific musical skills compared to traditional teaching methods. Correlational analysis revealed a connection between creative abilities and musical skills, particularly between innovativeness and the effectiveness of voice distribution. The findings hold significant practical and scientific value, suggesting new approaches for music education and emphasizing the interdependence of creative and technical development in this domain.