Application of simulated situations when learning to play the saxophone to illustrate musical calculations

Abstract

In this scientific work, a comprehensive study of the application of methods of modeling situations when learning to play the saxophone in educational institutions of higher education in the Russian Federation is carried out. The interest in this problem is due to the growing importance of the saxophone as an instrument in modern musical genres and the need to optimize the learning process. Situation modeling offers a radically new approach to learning, allowing students not only to memorize sheet music mechanically, but also to understand their structural and functional role in the context of specific musical compositions. The study is based on the analysis of data from 18 higher educational institutions in Russia, including a detailed analysis of courses and training programs, as well as interviews with 67 teachers and 124 students. The research tools include statistical methods such as multivariate regression analysis, machine learning and deep learning methods for automatic recognition and classification of musical notation models. The paper presents detailed results illustrating the effectiveness of the use of simulated situations in training. In particular, it is demonstrated that the use of this method increases the level of understanding of musical theory among students by 37% and accelerates the process of memorizing musical notation by 26%. These results are of key importance for the further development of saxophone teaching methods and can be applied to create new educational courses and programs. Thus, the scientific article provides a valuable contribution to understanding the role and possibilities of modeling situations in learning to play the saxophone, offering empirically supported techniques and approaches that can be adapted for various musical disciplines.