This paper explores the application of artificial intelligence (AI) in modern art teaching, identifying current limitations and proposing strategies to enhance AI's role. It suggests expanding AI's adaptability, improving intelligent teaching modes, and enriching the artistic experience through personalized learning and virtual reality integration. A performance analysis model based on AHP and grey clustering is introduced to evaluate AI's application effect.

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This paper presents a relevant topic and offers some valuable insights into the potential of AI in art education. However, its lack of empirical evidence, superficial treatment of AI technologies, and insufficient attention to ethical considerations limit its overall contribution. The proposed strategies are general and lack specific implementation details, preventing a deeper evaluation of their impact. The performance analysis model, while attempting to quantify AI's application effect, doesn't offer robust validation or detailed usage examples.