Construction of a Dynamic Teaching Model for Traditional Chinese Music Integrated with Artificial Intelligence

Traditional Chinese music’s dynamic teaching approach has limitations such as regionalism, singularity, and insufficient depth. To address these shortcomings and enhance teaching effectiveness, artificial intelligence (AI) technology can be utilized. Based on the analysis of the essence of dynamic teaching and the necessity of integrating AI, a teaching model combining the two has been constructed: before class, AI is used to build a knowledge base of traditional music, analyze data to formulate personalized teaching plans and expand course resources, laying the groundwork for dynamic teaching; during class, a dual-track teaching approach of “static + dynamic” is adopted, with AI constructing a vertical knowledge system and visualizing static knowledge, and dynamic teaching carried out through a “cognition - practice - feedback” cycle system, guiding students from intuitive perception to practical innovation; after class, an AI-based phased evaluation system is established to facilitate real-time feedback of teaching data, ultimately achieving mutual growth in teaching and learning.