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    An artistic studio model effectively teaches artificial intelligence (AI) by integrating large learning models into creative processes. This approach supports student-directed learning and artifact creation, proving applicable for AI education.

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    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.