In recent years, the rapid development of artificial intelligence (AI) technology has brought new opportunities to the field of education. With its powerful data processing and analysis capabilities, AI technology has shown great potential in the integration of educational resources and personalized teaching. Specifically in the realm of design education, AI technology holds immense potential to enhance our comprehension of the cultural essence of urban public spaces, elevate the standards of design education, and thereby foster a generation of design talents equipped with both innovative thinking and practical proficiency. The objective of this study is to delve into the application and impact of AI technology in the educational setting, against the backdrop of cultural preservation and urban public space innovation. By conducting a comparative analysis between an experimental group and a control group, this research aims to thoroughly examine the role AI technology plays in augmenting students' spatial design proficiency, cultural comprehension, and innovative thinking capabilities. The research results show that AI technology significantly improves students' abilities in the above three aspects by providing personalized learning paths, rich learning resources, and real-time learning feedback. Specifically, students' spatial design abilities such as spatial composition and color matching have been improved, their ability to understand and appreciate different cultures has also been enhanced, and their innovative thinking and imagination have also been effectively stimulated. This study provides the theoretical basis and practical guidance for educators to better integrate AI technology into teaching, which helps promote the inheritance and innovation of urban public space culture.
CITATION STYLE
Feng, L. W., & Heng, H. Y. (2024). Research on the application of artificial intelligence technology in teaching the cultural inheritance and innovation of urban public space. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1498
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