Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ai-Generated Compositions in Music Education

Bibliographic Data

ID22199775
AuthorsTanveer Ahmad Wani (Noida International University), Shilpi Sarna (Noida International University), Shikhar Gupta (0000-0001-6299-5769), Shiefali Gupta (Chitkara University), Supriya Rai (Jain University), Jaskirat Singh (0000-0003-0337-7885), Jaskirat Singh Rai (0000-0001-5453-0267, Chitkara University), Neha Arora (0000-0002-9529-8975, Vivekananda Global University), Pranali Chavan (International Institute of Information Technology)
Year2025
Volume6
Issue3s
Pages92-101
Publication date2025-12-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v6.i3s.2025.6794
OpenAlexW7117253686
LanguageEN
References cited13

With the introduction of the creative process into the sphere of music learning, the introduction of the Artificial Intelligence (AI) has changed the way of composing, analyzing, and learning. The compositions created by AI give educators and learners new tools that could be applied to generate creativity and composing, and their interpretation of the musical form. The paper explains how AI has been used more and more as a potent application in the field of music education because it has evolved into a neural network-based network, such as AIVA, Amper Music, and MuseNet. The research question examined in the paper with the assistance of a mixed-methods research incorporating surveys, interviews, and classroom activities is how the AI-assisted tools impact the engagement, creativity, and compositional abilities of students. The findings indicate that AI-generated music can help to enhance the appreciation of the compositional processes and experimentation and collaboration. Nevertheless, the study also finds obstacles, such as the presence of ethical issues relating to authorship, the possible excessive dependence on technology, and the necessity to establish a balance between intuition and algorithms. Case studies demonstrate effective educational applications, focusing on the use of teacher facilitation and curriculum integration to make AI pedagogical potential the most effective way to utilize it

Creativity · Curriculum · Intuition · Music and artificial intelligence · Music education · Musical · Diverse Music Education Insights · Music Technology and Sound Studies · Neuroscience and Music Perception

  • Mind ascribed to AI and the appreciation of AI-generated art

    Open Access•Tanja Messingschlager, M Appel•New Media & Society•2023

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae