Key points
- PRISMA systematic review of 19 peer-reviewed empirical studies on generative AI in art education from January 2019 to August 2025.
- Research volume accelerated from two studies in 2023 to 14 in 2025, concentrated in higher education and East Asian contexts.
- Text-to-image models and ChatGPT were the most studied tools, applied across creative production, pedagogical scaffolding and instructional design.
Summary
This PRISMA systematic review, published in Education Sciences (MDPI, Vol. 16, No. 1, article 47) on 30 December 2025, examines 19 empirical studies on generative AI in art education from 2019 to August 2025. It documents the rapid acceleration of research in this area and identifies text-to-image models and ChatGPT as the dominant tools studied across creative production, scaffolding and instructional design contexts. Open access, it is the assignable companion reading to the Fang (2026) SN Computer Science review, covering a broader date range with a tighter discipline focus.
Related items
- Integrating generative AI in higher art education: a systematic review
- Empowering Student Learning in HE with Generative AI Art Applications: Systematic Review
Source
Source: Education Sciences (MDPI) ↗ (Research)
Cite this item
Education Sciences (MDPI) (2025). ‘Generative AI in art education: a systematic review 2019-2025’, Education Sciences (MDPI). Available at: https://www.mdpi.com/2227-7102/16/1/47
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