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

Abstract

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.

DOI: 10.5281/zenodo.17079034