The use of artificial intelligence models in the training process of future music teachers

Abstract

The article substantiates the conceptual foundations for preparing future music teachers to apply artificial intelligence (AI) technologies. The research aims to bridge the existing gap between the technological accessibility of such systems and the lack of a didactic framework for their effective implementation in arts education.

The evolution of integrating innovations into the educational process is structured through three paradigmatic models: the management of cognitive activity (AI as a knowledge transmitter), partnership interaction (the algorithm as a facilitator), and learner leadership. It is demonstrated that the latter model serves as a strategic benchmark, as it transforms digital tools into instruments of creative augmentation and maximizes the creative potential of future professionals.

The study highlights that the strategic advantages of AI implementation include profound personalization of learning, the development of «smart campuses», and the optimization of distance education. Simultaneously, a key barrier is analyzed: the majority of modern educational applications are primarily geared toward basic cognitive levels (memorization, testing). The paper characterizes models of AI application and, to foster critical thinking and professional creativity, substantiates the necessity of transitioning to more sophisticated systems, such as simulation modeling, virtual reality, and gamification.

It is concluded that the comprehensive integration of these technologies necessitates updating educational programs, resolving ethical and legal issues (particularly concerning academic integrity during the generation of musical content), and developing specialized platforms through close synergy between IT specialists and music professionals.