This study explores the integration of artificial intelligence (AI) in art education within selected universities, aiming to propose an innovative development plan. The study evaluated AI practices in terms of learning content, learning activities, and assessment methods. Through a quantitative method approach, data were collected from 220 art teachers and 713 art students via survey to assess the current state of AI integration in art education. Findings revealed that AI practices in learning content were perceived as very satisfactory. Specifically, art professors' familiarity with formal content training and knowledge of resources and materials to enhance content training was highly rated. Learning activities involving AI tools showed positive impacts on student engagement and creativity. However, challenges such as insufficient learning materials, lack of support for teachers' professional development, and time constraints were noted. Assessment methods incorporating AI, like automated grading systems and AI-driven feedback, were found to be efficient but required improvements in aligning with curriculum standards and addressing individual learning needs. The study highlighted the significant role of AI in transforming art education by offering personalized learning experiences and fostering creative skills. Based on the findings, the study proposes a comprehensive development plan emphasizing the need for curriculum development, investment in AI technologies, and continuous professional development for educators. The recommendations aim to enhance the effectiveness of AI integration in art education, ensuring that it meets the evolving needs of students and the educational landscape.

Keywords: artificial intelligence (AI), art education, AI integration, learning content, learning activities, assessment method, development plan