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In order to better understand the art and design teaching system in universities, the author conducted research on the application of art and design education systems based on artificial intelligence technology in universities. The author first provides an overview of artificial intelligence technology, introduces the theoretical basis and application methods of artificial intelligence support applied to art and design education in universities, analyzes the application and development status of artificial intelligence technology, and discovers the problems of artificial intelligence technology in art and design. Secondly, by conducting frequency analysis, multiple comparative analysis, and factor analysis on questionnaire data and other research data, we aim to explore the problems and causes of artificial intelligence in the application of art and design education in universities. A total of 400 electronic survey questionnaires were distributed and 386 were collected. After processing and verification, a total of 365 valid survey questionnaires were obtained. The experimental results indicate that: When practice and participation have a significant impact on attitudes and interests, this pathway shows significant (z=1.918, p=0.033<0.05), explain that users' participation in artificial intelligence applications has a significant impact on their attitudes towards the application of artificial intelligence technology, and the two have a significant impact relationship. Finally, from the purpose of the research, the reliability and validity analysis of the research, the analysis of the research content results, and the quantitative research through the establishment of regression models, the corresponding analysis was conducted on the application status and development trend of artificial intelligence technology in art and design education, providing data support for application strategies.
Xunmiao Ruan (Fri,) studied this question.