IEFInternational Education Forum3083-49022981-8605Bio-Byword Scientific Publishing Pty. Ltd.10.26689/ief.v3i12.13464ArticleAIGC-Driven Pedagogical Innovation in Vocational Digital Art and Design Education: A Case Study of “Cruise Brand AR Cultural Creative Design”https://artdesignp.com/journal/IEF/3/12/10.26689/ief.v3i12.13464ChenMengran20253122025-12-31With the rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, digital art education has entered a new phase that integrates intelligence with creativity. The widespread application of AIGC in visual generation, textual expression, and interactive design has reconstructed the logic of artistic creation and opened new possibilities for pedagogical innovation in vocational colleges. Using the “Cruise Brand AR Cultural Creative Design” teaching project as a case study, this paper explores innovative pathways for AIGC-enabled vocational digital art and design education. Through constructing an intelligent teaching environment, reforming project-based pedagogy, restructuring course content, and implementing a dual empowerment mechanism between teachers and students, this study establishes an integrated teaching system combining “AI Technology – Cultural Narrative – Creative Practice.” The results demonstrate that the incorporation of AIGC significantly enhances students’ creative thinking, cultural expression, and technical proficiency, offering valuable insights into the transformation and industrial alignment of vocational digital art and design education.

Dong X, Jia Y, 2025, Research on the Practice and Innovation of AI-Enabled Digital Media Art Education. Journal of Printing and Digital Media Technology Research, (S1): 84–89.

Li S, 2011, Exploration of the Disciplinary System of Digital Media Art. Decoration, (4): 143–144.

Li Q, Luo T, Wang J, 2020, Exploration and Practice of Teaching Reform in Digital Media Majors under the Background of Emerging Engineering Education. Packaging Engineering, 41(S1): 140–143.

Tang X, 2024, Teaching Reform of Animation Creation Courses under the Development of AIGC. University Journal, (20): 45–49.

Liao L, 2025, Practice of AIGC-Enabled Integrated English Teaching. Journal of Hubei Open Vocational College, 38(7): 148–149.

Liao Z, Wang M, Lin L, 2024, Ideological and Political Education Pathways for New Media Marketing Courses under the Vision of AIGC: A Case Study of Chongqing University of Technology. Communication and Copyright, (19): 96–98.

Zhang L, Ye H, Kang Y, 2020, How Discipline Competitions Promote Curriculum Reform in New Media Technology under the Background of Emerging Engineering Education. Digital Printing, (3): 26–33.

Sun T, Kim Y, Kou X, 2024, Reconstructing AI Ethics Education from an Interdisciplinary Perspective: Epistemological, Learner, and Pedagogical Dimensions. China Educational Technology, (4): 45–51.

Yang H, Lu S, Xu Y, 2023, Natural Evaluation: Reconstruction of Academic Achievement Evaluation Models Driven by Artificial Intelligence. Journal of Chongqing University (Social Science Edition), 29(4): 101–114.

Cai H, Dong H, Chen X, 2022, How to Build Future Schools: Foresight and Reflection Based on Intelligent Education Governance Scenarios. Journal of East China Normal University (Education Science Edition), 40(9): 45–54.

Li B, Bai Y, Zhan X, 2023, Technological Features and Evolution of Artificial Intelligence Generated Content (AIGC). Library and Information Knowledge, 40(1): 66–74.

Wang Q, 2021, Research on AI-Intelligent Talent Cultivation Models: A Case Study of “AI + Animation” at Jilin Animation Institute. Computer Knowledge and Technology, 17(25): 250–251+277.

Yang X, Su Z, Sun Y, 2024, Empowering New Vitality in Medicine through Artificial Intelligence: Exploration of Interdisciplinary Talent Cultivation in Intelligent Science and Technology. West China Medical Journal, 39(12): 1943–1947.

Liu C, Chen X, 2024, The Four Dimensions of Integrating Artificial Intelligence into Ideological and Political Courses in Universities. Teaching of Forestry Region, (1): 25–29.

Cui Z, Ma W, 2023, Research on the Reform of Ideological and Political Education Empowered by Artificial Intelligence. Educational Theory and Practice, (12): 33–36.