Affiliations: College of Art, Yanching Institute of Technology, Langfang, China
Correspondence:
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Corresponding author: Songhua Liu, College of Art, Yanching Institute of Technology, Langfang, China. E-mail: liusonghua@yit.edu.cn.
Abstract: The traditional paradigm of visual communication design education is encountering significant challenges in aligning with the dynamic learning preferences of contemporary students. This paper delves into the limitations of conventional educational approaches, particularly their inadequacy in delivering personalized content and hands-on learning experiences. In response, we propose a groundbreaking collaborative teaching model, seamlessly integrated with Artificial Intelligence (AI) technologies. This model emphasizes the transformation of visual communication design education by introducing an AI-enhanced task allocation framework tailored to the course’s specific needs, coupled with a comprehensive scheme for the fusion of knowledge and skill acquisition. Our research not only pioneers a novel direction in teaching visual communication design but also serves as a valuable reference for educational reform across various disciplines, leveraging the potential of AI to enrich learning outcomes and foster a more engaging, customized, and practice-oriented educational environment.
Keywords: Visual communication design, artificial intelligence (AI), collaborative teaching, teaching mode, task allocation model
