Artificial Intelligence and Assessment: Three Implications for Music Educators

Brian P. Shaw

14 citations0/0 files storedMusic Educators Journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Diverse Music Education Insights Artificial Intelligence in Education Music Education and Analysis

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.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 14 citations exist upstream.

Cited by

2025Music Education With GenAI : Exploring the Mediating Roles of Enjoyment Between Smart Service Interactional Experience and Behavioural Intention

Imported from OpenAlex (CC0) — nothing here is generated.