Research on the Challenges and Pathways of AI-Driven Digital Transformation in University Aesthetic Education

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This research reveals challenges in AI-driven digital transformation in aesthetic education, suggesting strategic frameworks for improvement.

A proposed framework addresses challenges in AI-driven digital transformation in aesthetic education.
Key challenges include outdated teaching models and insufficient digital literacy, impacting transformation efforts.
The framework suggests fostering a high-quality digital resource ecosystem and improving evaluation systems.
Implications of improved aesthetic education include nurturing refined sensibilities and creative capabilities.

Cao et al. (2025) studied this question.

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This research reveals challenges in AI-driven digital transformation in aesthetic education, suggesting strategic frameworks for improvement.