Generative AI as a collaborator in music education : An action-network theoretical approach to fostering musical creativities
MayDay Group
2025
lehtiartikkeli
Lopullinen julkaistu versio - 499.62 KB
Väkevä, Lauri, and Partti, Heidi. 2025. Generative AI as a collaborator in music education: An action-network theoretical approach to fostering musical creatives. Action, Criticism, and Theory for Music Education 24 (3): 16–52. https://doi.org/10.22176/act24.3.16
Pysyvä osoite
Tiivistelmä
This article explores the potential of Generative Artificial Intelligence (GenAI) to enhance music education by facilitating creative collaborations. Drawing on the pragmatism of the later works of John Dewey and the posthumanism of Karen Barad, and employing Actor-Network Theory (ANT), we propose viewing creative collaborations as dynamic systems of intra-actions, transcending didactic interactions to include broader, systemic engagements. In this outlook, GenAI tests the limits of collaborative agency in educational settings. Yet, although GenAI can enhance musical learning and evolve within these processes, we question its potential to educate due to its limitations in ethical deliberation. This questioning raises significant implications for music educators, underscoring the need for pedagogical tact in AI-assisted educational environments.
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Aihealue
OKM-julkaisutyyppi
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Emojulkaisu
Lehti
Action, Criticism, and Theory for Music Education|24|3
Julkaisusarja
ISSN
1545-4517