Developing Collaborative Artificial Intelligence in Artistic Practices: Using AI in Creative Explorations

Area of Science:

• Artificial Intelligence Education
• Artistic Studio Model Application
• Creative Process Integration

Background:

• Traditional AI education models may not fully leverage creative potential.
• The artistic studio model offers a unique, bottom-up approach to learning.
• Generative AI tools align with artifact creation objectives.

Purpose of the Study:

• To evaluate the applicability of an artistic studio model for teaching artificial intelligence (AI).
• To explore students' experiences integrating large learning models (LLMs) into their creative workflows.
• To provide evidence and case studies for adopting this model in AI education.

Main Methods:

• A qualitative study was conducted over the 2024-2025 academic year.
• Four sections of an asynchronous, studio-style AI course were implemented.
• Student experiences were documented, focusing on the integration of LLMs in creative tasks.

Main Results:

• The artistic studio model proved applicable for educating students on AI.
• Students successfully integrated large learning models into their creative processes.
• Qualitative data and case studies support the model's effectiveness.

Conclusions:

• The artistic studio model is a viable and effective pedagogical approach for AI education.
• Student-directed learning and artifact creation are key components of success.
• The model can be adapted for diverse student needs and interests in AI.