AI-Enabled Teaching of Cultural and Creative Product Design

DOI: https://doi.org/10.62517/jtm.202513504

Author(s)

Rong Zhang, Ying Yan

Affiliation(s)

TaiShan University, Shandong, Taian, China

Abstract

This study aims to explore the integration path and application value of artificial intelligence (AI) technology in the teaching of cultural and creative product design, addressing the limitations of traditional teaching such as insufficient creative divergence, inefficient personalized guidance, and disconnection between theoretical teaching and practical innovation. Adopting a combination of literature research, Delphi method, and action research, the study first systematically combs the theoretical basis of AI technology (including generative design, intelligent evaluation, and data-driven decision-making) and its intersection with design education. It then analyzes the core demands of cultural and creative product design teaching, constructs a multi-dimensional AI-enabled teaching model covering three key links: creative inspiration, design iteration, and comprehensive evaluation. the model is applied to teaching practice to verify its effectiveness through quantitative and qualitative analysis of teaching processes and learning outcomes. the results show that the AI-enabled teaching model can significantly improve the efficiency of creative generation, enhance students’ ability to integrate cultural elements with innovative design, and optimize the personalized teaching feedback mechanism. This study enriches the theoretical system of technology-integrated design education and provides practical reference for the reform and innovation of cultural and creative product design teaching in the digital era.

Keywords

AI-Enabled; Cultural and Creative Product Design; Teaching Reform; Design Education; Technology Integration

References

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