Key points
- PRISMA review of 65 peer reviewed articles on AI art applications in higher education.
- Maps application domains, pedagogical practices and equity barriers in one framework.
- Identifies limited faculty training as the main equity barrier to effective adoption.
Summary
This December 2025 systematic review, conducted using PRISMA methodology across 65 peer-reviewed articles, synthesises the state of generative AI art applications in higher education. It maps application domains, pedagogical practices, and equity barriers into a unified analytical framework, providing a comprehensive field overview through late 2025. The study's identification of limited faculty training as the primary equity barrier to effective adoption has direct implications for institutional professional development planning in animation and creative arts programs.
Related items
- Integrating generative AI in higher art education: a systematic review
- Generative AI in art education: a systematic review 2019-2025
- Generative AI in higher education assessment: a scoping review
Source
Source: Information (MDPI) ↗ (Research)
Cite this item
Information (MDPI) (2025). ‘Empowering Student Learning in HE with Generative AI Art Applications: Systematic Review’, Information (MDPI). Available at: https://www.mdpi.com/2078-2489/16/12/1070
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