Design and Development of Music Intelligent Education System Based on Artificial Intelligence

In traditional teaching, students may find it difficult to receive timely and personalized feedback, and some students may lose interest in music learning due to the monotony of traditional learning methods. This article aimed to design a music intelligent education system based on artificial intelligence (AI), providing rich learning content and personalized guidance to enhance students' interest in learning. The artificial intelligence based music intelligent education system designed in this article was divided into basic information management module, student music task management module, personalized recommendation module, interactive community module, and artificial intelligence algorithm module. It can monitor student performance, provide personalized feedback and guidance, help students improve, and provide a richer and more interesting learning experience. The experimental results of this article showed that under traditional music education, only 21 students were very interested in music, while under the music intelligent education system, there were 120 students who were very interested in music. The music intelligent education system based on artificial intelligence can not only compensate for the shortcomings of traditional music education, but also provide students with more personalized, efficient, and interesting learning experiences.