The Path and Practice of AIGC Empowerment of College Brand Image Design Course Teaching Reform

Tianyi Song and Jiaqi Liu

Education Insights, 2026, vol. 3, issue 1, 8-14

Abstract: With the continuous advancement of artificial intelligence technology, AIGC (Artificial Intelligence Generated Content) has deeply penetrated the creative design field, substantially impacting the teaching paradigms of university brand identity design courses. Current educational systems face structural challenges such as outdated knowledge, limited practical approaches, and insufficient innovation cultivation, making it difficult to meet the demands of digital brand communication. The integration of AIGC technology not only expands the boundaries of design generation and enhances visual output efficiency, but also shifts the focus of teaching from skill training to strategic thinking and human-machine collaborative innovation. Empirical observations from pilot courses at multiple art institutions demonstrate that project-based teaching incorporating generative models significantly strengthens students' comprehensive abilities in dynamic construction of brand recognition systems, data-driven visual expression, and cross-media storytelling. Grounded in the dual logic of industrial transformation and educational adaptation, this paper explores curriculum restructuring pathways under technological integration. It emphasizes building a new teaching ecosystem that combines critical thinking with technical responsiveness while maintaining design subjectivity, providing actionable paradigm transformation references for cultivating design talents in the new era.

Keywords: AIGC; universities; brand image design courses; teaching reform (search for similar items in EconPapers)
Date: 2026
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