Dynamic Neutrosophic Cubic Sets for Quality Analysis of Curriculum Development and Teaching Practice for Digital Literacy of Music Education Majors in the Age of Artificial Intelligence

Developing digital literacy among music education majors has emerged as a crucial element of higher education reform in the age of artificial intelligence (AI). With an emphasis on the incorporation of AI technology and cutting-edge pedagogical approaches, this study performs a quality analysis of curriculum creation and teaching methods for digital literacy in music education programs. Curriculum relevance to AI-driven music education, the efficacy of teaching methods, the growth of students' digital literacy, and resource and infrastructure support are the four main assessment criteria that have been developed. The research shows that to prepare future music educators to adjust to digital developments in the industry, practice-oriented instruction in conjunction with a strong alignment between curriculum design and technology trends is crucial. This study uses the Dynamic Neutrosophic Cubic Sets to solve uncertainty information. We use four criteria and eight alternatives. Additionally, a key route to developing creativity, flexibility, and technical proficiency is the efficient application of project-based learning, blended learning, and AI-powered music tools. According to the conclusions, colleges must provide continuous curriculum renewal, foster cross-disciplinary partnerships, and have a strong technology infrastructure.