This paper discusses the innovative design and implementation of intelligent music visual teaching system, aiming at innovating music education through scientific and technological means, and coping with the challenges of uneven educational resources and single teaching methods. The system combines cutting-edge visualization technology and artificial intelligence algorithms to provide learners with an intuitive, efficient and personalized music learning experience. Based on the literature review, the advantages and disadvantages of the existing system are identified, and the detailed system requirements analysis is carried out. On this basis, a comprehensive intelligent teaching system is designed, which includes audio feature extraction and analysis, innovative visualization technology, machine learning model construction, and interaction mechanism. Experimental evaluation shows that the system is significantly better than traditional teaching methods in improving music theory knowledge, performance skills, music creation ability and user experience, while technical performance is stable, ensuring the security of user data. There was also a significant increase in user emotional engagement and motivation, demonstrating the system’s great potential to promote equity and quality in education. The research results of this paper provide strong support for the modernization transformation of music education, and put forward the direction for the continuous optimization and development of music teaching system in the future.
Ran An (Fri,) studied this question.
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