Generative AI for Art Education
Generative AI is transforming art and design education. Our project explores how AI models can support students at the Bern Academy of the Arts. The goal is to overcome design fixation, enhance creative processes, and integrate AI tools.
Factsheet
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Schools involved
Bern Academy of the Arts
Business School - Institute(s) Institute for Digital Technology Management
- Strategic thematic field Thematic field "Humane Digital Transformation"
- Funding organisation BFH
- Duration (planned) 01.01.2025 - 31.12.2025
- Head of project Prof. Dr. Thiemo Wambsganss
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Project staff
Prof. Dr. Thiemo Wambsganss
Prof. Jimmy Schmid
Livia Müller - Keywords Generative AI, art and design education, higher education didactics, human-computer interaction, creativity enhancement, AI-supported learning processes, design fixation, educational innovation, artif
Situation
The rapid development of generative AI is influencing creative processes in art and design education. Students increasingly use AI-powered tools, but research on effective integration into curricula is lacking. It remains unclear how AI affects creative development, what challenges arise, and how educational programs should adapt. Design fixation, a common creative obstacle, might be mitigated through AI-based tools. At the same time, ethical and methodological questions regarding AI in artistic processes persist. This project examines how generative AI models can support and enrich students' design and development processes.
Course of action
The research project combines different methods: 1) Workshops with students to analyze challenges and potentials of AI-powered tools. 2) Interviews with art educators to assess AI integration into teaching methods. 3) Development and adaptation of generative AI models to support creative workflows. 4) Evaluation of AI tools regarding their impact on learning processes, design quality, and students' creative self-efficacy.
Result
Expected outcomes include a deeper understanding of AI’s role in art education, the development of practical AI tools, and concrete recommendations for curriculum integration. Initial workshops will reveal challenges students face in AI-supported creative processes and how their artistic work evolves. The developed tools will be tested for usability, effectiveness, and didactic integration. Additionally, teaching methods and concepts will be developed to optimize AI use in creative education.
Looking ahead
The project findings will serve as a foundation for future research proposals and the advancement of AI-supported teaching methods. Long-term, innovative technologies will be further developed and systematically integrated into artistic education. These insights could also be valuable beyond art and design education, influencing other creative industries.
