Under the background of educational digital transformation and the rapid development of artificial intelligence generated content (AIGC) technology, the current brand visual design courses in vocational colleges have prominent pain points. These include fragmented application of artificial intelligence (AI) tools, lack of systematic collaborative teaching mechanism, and disconnect between teaching content and industry needs. This study takes the Brand Visual Design course as the research carrier and takes Canva, a lightweight AI design tool, as technical support. It integrates service design theory, loosely coupled system theory, and AIGC application ethics theory to construct a collaborative teaching mode with an “internal cycle + external cycle” double-cycle framework. Through a 16-week controlled experiment with 60 students from two parallel classes as the research objects, this study verifies the effectiveness of the teaching mode. The results show that the mode can improve students AI collaborative creativity, team collaboration efficiency and commercial adaptability of works by more than 30.00%, and control the tool dependence rate within 15.00%. This study fills the theoretical gap of the integration of Canva and collaborative teaching of brand visual design and provides a replicable and scalable teaching reform scheme for design courses in application-oriented colleges and vocational colleges.
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Share and Cite
Li, L., Jia, W., Gao, W., Li, J., Kang, Y., Sha, O. (2026) Construction of Collaborative Teaching Mode in Brand Visual Design Course Combined with Canva Brand Visual System. Global Education Bulletin, 3(1), 7-12. https://doi.org/10.71052/grb2025/HCQK3841