Artificial Intelligence and Assessment: Three Implications for Music Educators

In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music education. In this article, I offer a range of considerations and suggestions for music educators seeking to teach music effectively and ethically in the age of AI.

Authors

Publication Details

Journal
Music Educators Journal
Published
2024-12-01
DOI
https://doi.org/10.1177/00274321241296118
Citations
4
Primary Topic
Diverse Music Education Insights
Type
article
Field-Weighted Citation Impact
20.84
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article

Artificial Intelligence and Assessment: Three Implications for Music Educators

Brian P. Shaw
4 citations
Music Educators Journal
Diverse Music Education Insights
20.84
article

Artificial Intelligence and Assessment: Three Implications for Music Educators

Brian P. Shaw
article en
4 citations

Abstract

In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music education. In this article, I offer a range of considerations and suggestions for music educators seeking to teach music effectively and ethically in the age of AI.

Music Educators JournalVol. 111(2)
Quality Education
Openalex Percentile: Top 1%
Diverse Music Education Insights
20.84
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Artificial Intelligence and Assessment: Three Implications for Music Educators — Brian P. Shaw · Music Educators Journal (2024) | TGRS Research Map | TGRS