Year: 2026
Type: article
Study design: Observational Study
Abstract: This study examined the role of digital platforms and artificial intelligence in music theory instruction from the perspectives of both students and instructors. Using a convergent mixed-methods design, data were collected through questionnaires administered to 47 undergraduate students and 9 instructors. Quantitative responses were analyzed descriptively, while open-ended responses were examined through inductive thematic analysis. The findings indicated that students associated these tools with increased engagement, perceived support for understanding complex theoretical concepts, and individualized learning opportunities. Written responses further suggested that flexible access and visual representations were particularly valuable in facilitating comprehension. Instructors, however, emphasized the importance of clear content, accurate information, and an awareness of practical limitations in classroom implementation. Although both groups acknowledged the potential of these technologies, their reasons for valuing them differed. Overall, the findings suggest that digital and AI-based tools may be particularly valuable when they are meaningfully integrated into everyday teaching practice, rather than being used as stand-alone additions. Their perceived educational value appears to depend not only on technical sophistication but also on alignment with instructional goals. Teacher readiness also appeared to be an important consideration in the effective integration of these tools. As automation assumes an increasingly prominent role in education, adapting resources to diverse learning needs appears to be of growing importance.
Source: PLoS ONE
Author: Ali Kalkan
Institution: Ankara Müzik ve Güzel Sanatlar Üniversitesi
Language: English
Topic: Music Education and Analysis
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,382
OpenAlex ID: W7225390225