A Systematic Review of Metaverse-Based Learning in Music Education

Abstract

In recent years, the integration of metaverse technologies into educational settings has gained significant attention. This systematic review aims to investigate the application of metaverse-based learning in music education. The review employs clearly defined inclusion and exclusion criteria, spanning literature from 2019 to 2023. The screening process encompasses key concepts, relevance, and alternative keywords to ensure a broad and comprehensive literature retrieval. The study addresses two primary inquiries: firstly, it categorizes Metaverse-Based Learning (MBL) technologies employed in music education, encompassing virtual reality, augmented reality, artificial intelligence, speech recognition, and other pertinent technologies. Secondly, the research provides a comprehensive exploration of MBL applications within diverse music disciplines and skill areas, including but not limited to music theory and fundamentals, performance and improvisation, vocal perception, music composition, instrumental performance, team performance and ensemble. The article also explores limitations in current research and suggests directions and considerations for future studies. This comprehensive review provides a valuable foundation for further research and exploration of MBL applications in music education.

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