Generative Artificial Intelligence and Visual Communication Design: From the Perspective of Comparative Higher Education

DOI

10.2991/978-94-6463-988-9_18How to use a DOI?

Keywords

Generative Artificial Intelligence; Visual Communication Design; Higher Education Perspective

Abstract

With the development of generative artificial intelligence technology, its application in the field of visual communication design has become increasingly widespread. It breaks the traditional creative boundaries of visual communication design, enabling images to be generated through text instructions, optimizing visual elements, and rapidly creating design solutions, thus becoming a new type of collaborative partner. However, the emergence of generative AI still has shortcomings in design education in higher education. The degree of penetration and application in the higher education sector shows significant regional differences. This paper takes students of visual communication design in universities from different countries as examples and analyzes teaching plans and works. The study found that Chinese students are more inclined to view generative AI as an “efficiency tool,” focusing on the practicality of the technology, while universities in Europe and America emphasize its “creative collaboration,” focusing on the integration of technology and thinking. This difference arises from the influence of educational philosophies, industrial demands, regional differences, and cultural differences. The paper summarizes how to balance technology and creativity, how to express emotions in works, and how to teach students to correctly view and use AI with critical thinking and competence.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Yutong Wu
PY  - 2026
DA  - 2026/02/15
TI  - Generative Artificial Intelligence and Visual Communication Design: From the Perspective of Comparative Higher Education
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 147
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_18
DO  - 10.2991/978-94-6463-988-9_18
ID  - Wu2026
ER  -