AIGC-Empowered Teaching Reform and Practice in Cultural Creative Product Design
DOI:
https://doi.org/10.62177/jetp.v3i1.1098Keywords:
AIGC, Teaching Reform, Ethnic Culture, Cultural Creative Product Design, Human-AI Collaboration, Design EducationAbstract
Against the backdrop of rapid AIGC (AI-Generated Content) technological development and the intelligent transformation of higher education, design education is undergoing profound structural changes. Traditional courses like Ethnic Cultural Creative Design have long been constrained by dilemmas such as "superficial cultural understanding," "inefficient creative generation," "lagging technology application," and "simplified evaluation systems," making it difficult to meet the cultural and creative industry's demand for interdisciplinary talent. Based on the latest research in educational technology, higher education pedagogy, and theories of educational change, this paper constructs a three-dimensional "culture-technology-design" integrated curriculum reform framework. It proposes a human-AI collaborative teaching model with AIGC at its core and develops an actionable practical teaching path within real classroom settings. The research indicates that AIGC, serving as a "creative partner," can significantly enhance students' depth of cultural decoding, efficiency of idea generation, and quality of technology application. The "dual-mentor guidance + AI collaboration" model facilitates learners' identity shift from "technology users" to "human-AI co-creative designers." The construction of a multi-dimensional evaluation system enables systematic assessment of the learning process, cultural value, and degree of technological integration. This reform practice holds significant implications for the paradigm shift in higher education design programs, the sustainable development of culture, and the construction of smart education.
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References
Altbach, P., & de Wit, H. (2023). The digital transformation in global higher education. The Journal of Higher Education, 94(2), 215–230.
Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). Open University Press.
Davis, L., & Cho, E. (2023). Human–AI co-creativity in design education: Opportunities and challenges. British Journal of Educational Technology, 54(3), 645–662.
Fullan, M. (2020). The new meaning of educational change (5th ed.). Teachers College Press.
Gibbs, G. (2021). Evaluating creative and practical learning in higher education. Teaching in Higher Education, 26(8), 1205–1218.
Jones, T., & Riedel, M. (2024). Rethinking creativity in the age of AI: Implications for design pedagogy. Creativity Research Journal, 36(1), 15–28.
Jones, T., & Silva, R. (2023). Overcoming the blank-page anxiety: AI as a creativity catalyst. Human–Computer Interaction, 37(4), 355–378.
Kukulska-Hulme, A. (2023). AI-supported cultural learning: A new frontier for education. British Journal of Educational Technology, 54(5), 1123–1140.
Laurillard, D. (2012). Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.
Lee, S., & Suh, A. (2023). Human–AI collaboration in creative tasks: A systematic review. Human Factors, 65(3), 510–528.
Noble, S., & Benden, M. (2023). Cultural bias and misinterpretation in AI-generated creative content. Cultural Studies, 37(2), 150–170.
Selwyn, N. (2023). The place of AI in changing higher education. Journal of Educational Change, 24(1), 1–17.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Smith, J., & Riedel, M. (2021). Deep cultural understanding in design education. Teaching in Higher Education, 26(5), 775–790.
UNESCO. (2021). Culture 2030 Indicators: Supporting cultural sustainability development. UNESCO Publishing.
Fan Chuangguo, & Sun Ziping. (2021). Artificial Intelligence Empowered Transmission of Traditional Handicraft Intangible Cultural Heritage. Media Observation, (08), 68–73.
Hua Xinxin, & Hua Kangmin. (2025). Research on the Digital Transformation Path of Intangible Cultural Heritage Empowered by Artificial Intelligence Technology. Science & Technology Information, 23(16), 40–42.
Hu Puyu, & Yu Wei. (2025). Analysis and Countermeasures of AIGC Application in Cultural Creative Product Design. Fashion Design and Engineering, (04), 8–10.
Jing Jiajia. (2025). Opportunities and Challenges for Digital Art and Design Talent Cultivation in the Context of AIGC Technology. Art Education Research, (18), 150–152.
Liang Xiaoyu, Xie Xiaofan, & Dou Hao. (2025). Innovative Design of Guangxi Ethnic Minority IP and Derivatives Based on Generative Artificial Intelligence Technology. Packaging Engineering, 46(08), 364–376.
Shi Lulu, & Wu Jingyi. (2025). Reconstruction and Transformation—Exploring the Future Development Path of Art and Design Education in the Context of AIGC. Art and Design (Theory), 2(09), 135–137.
Sun Yan, & Huang Guo'an. (2024). Application of AIGC in "Intangible Cultural Heritage" Cultural Creative Product Design. Art Panorama, (35), 16–18.
Wang Chenguang. (2025). Innovative Integration Strategies for Ethnic Minority Patterns and Font Design in the Digital Era. Screen Printing Industry, (03), 59–61.
Wang Ting, Wu Luyin, & Zhao Hongwei. (2025). Exploration of the Application of Artificial Intelligence Technology in the Digital Teaching of University Art and Design Majors. In Beijing Sino-Foreign Visual Arts Academy. Proceedings of the 2nd International Symposium on Visual Arts and Humanities (pp. 304–307).
Wang Yanping. (2025). Research on Educational Strategies for Art and Design Majors in the Context of AIGC. Art Education Research, (17), 167–169.
Wu Nan. (2025, October 17). Exploration of Practical Paths for Integrating Shaanxi Intangible Cultural Heritage into University Art and Design Curriculum Teaching under the STEAM Education Concept. Dahe Art News, 013.
Xu Wang. (2025). Research on AIGC-Empowered Paths for Intangible Cultural Heritage Transmission. Transmission and Copyright, (17), 79–81+85.
Yuan Yue. (2024). Research on Artificial Intelligence Empowered Intangible Cultural Heritage Exhibition Design under the Context of Experience Design. Footwear Technology and Design, 4(20), 162–164.
Zhang Chenxu. (2025). Research on Intelligent Generation of Two-Dimensional Decorative Patterns in Mother-of-Pearl Color Style Based on LoRA Model. Color, (05), 88–91.
Zhang Wenbo. (2025). Research on Nixing Pottery Cultural Creative Product Design Based on AIGC Technology (Master's Thesis). Guangxi Normal University.
Zhu Shuai. (2024). How Does Artificial Intelligence Reshape Art and Design Education? Art Observation, (02), 5–7.
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