Cross-modal Priming of a Music Education Event in a Digital Environment

Abstract

This study aims to explore the potential of the digital environment for implementing a multimodal approach in music education. The effectiveness of information received through a combination of sensory stimuli demonstrates a higher coefficient of educational efficiency and is examined as cross-modal priming. Digital technologies: including specialized and educational software, virtual instruments, and artificial intelligence (AI), transform the music education experience into an accessible resource for individuals with limited musical abilities or non-professional knowledge in the field of art. This justifies their consideration as tools for general music education. The study presents a model for applying specialized music software in the perception of a musical piece by students (aged 12–13), as well as a methodological framewoamong university students, future kindergarten and primary school teachers. The findings indicate improved musical-cognitive outcomes and a high evaluation of specialized software as a didactic tool among university students. Additionally, the study discusses the role of AI in music education