Presentation Schedule
Generative Artificial Intelligence in Art Education: An Overview of Current Research Themes and Future Research Directions (102623)
Session Chair: Minerva Bonilla
This presentation will be live-streamed via Zoom (Online Access)
Wednesday, 7 January 2026 13:55
Session: Session 1 (Parallel)
Room: Live-Stream Room 2
Presentation Type: Live-Stream Presentation
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This literature review examines the current landscape of research at the intersection of generative artificial intelligence (GenAI) and art education through systematic analysis of publications from 2019 to 2025. The review reveals a rapidly expanding field with concentrated research activity in recent years, reflecting the transformative impact of generative AI tools on art education. The analysis identifies seven primary thematic areas emerging from the literature: (1) Pedagogical Integration and Learning Enhancement, (2) Human-AI Collaborative Creation, (3) Student and Educator Perceptions and Attitudes, (4) Technical Applications and System Development, (5) Cultural and Cross-Cultural Applications, (6) Specialized Educational Contexts, and (7) Theoretical and Ethical Considerations. This review contributes to the emerging discourse on generative AI integration in art education by synthesizing current research themes and identifying key directions for future scholarly inquiry. The findings suggest that GenAI represents a significant pedagogical opportunity in art education, with potential for enhancing creativity, engagement, and learning outcomes when thoughtfully implemented within appropriate theoretical and ethical frameworks.
Authors:
Yihan Jiang, Univeristy of Florida, United States
Zifeng Liu, University of Florida, United States
About the Presenter(s)
Yihan Jiang is a PhD student in Curriculum and Instruction at the School of Teaching and Learning, College of Education, University of Florida, USA.
See this presentation on the full schedule – Wednesday Schedule
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