Applying artificial intelligence in teaching music for primary education students at Tan Trao University

Abstract

Artificial Intelligence (AI) is driving broader and deeper changes in higher education. The application of AI in university teaching includes learner data collection, building learner models, constructing domain knowledge models, and developing teaching models. However, there are still some challenges in applying AI in teaching higher education, primarily concerning the understanding of the relationship between AI and humans, establishing educational goals in AI applications, and ensuring data safety and risks. The article is based on the theory of music teaching and the results of applying AI in teaching to highlight the current situation of music education for primary education students at Tan Trao University. Through an analysis of the current situation, we propose five solutions to apply AI in music education and organize pedagogical experiments to verify feasibility, with the aim of innovating teaching methods and enhancing teaching quality.