@article{genaiartapplicationshereview2025,
  title = {Empowering Student Learning in HE with Generative AI Art Applications: Systematic Review},
  year = {2025},
  journal = {Information (MDPI)},
  url = {https://www.mdpi.com/2078-2489/16/12/1070},
  abstract = {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.},
  keywords = {generative-ai, image-generation, curriculum-design, ai-literacy, student-experience},
  note = {AI \& Animation Education Knowledge Base}
}