Application Innovation of AIGC Generation Technology in Visual Design Teaching of Digital Media Art
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DOI: 10.25236/eeim.2024.020
Author(s)
Xuenai Wang, Shuo Han, Ziqi Wang
Corresponding Author
Xuenai Wang
Abstract
This paper discusses the application of AIGC (Artificial Intelligence Generation Content) technology in the visual design teaching of digital media art, and demonstrates its ability to quickly generate creative content through advanced algorithms and big data analysis, thus improving teaching efficiency and broadening students' creative space. The advantages of AIGC technology lie in improving teaching efficiency, enhancing students' participation, promoting personalized learning, expanding creative boundaries, strengthening interdisciplinary learning, improving teaching quality and cultivating students' skills in the future. Specific applications include theme conceptual design, color matching and style design and dynamic visual design practice. However, high technical threshold, low controllability of creative process and copyright and ethical issues are challenges in application. Therefore, this paper puts forward some countermeasures, such as lowering the technical threshold, improving the controllability of creation and strengthening the education of copyright and ethics. Generally speaking, the application of AIGC technology not only revolutionizes the traditional teaching mode, stimulates students' creativity and interest in learning, but also opens up a new path for cultivating innovative and practical design talents, and its future application prospect in this field is very broad.
Keywords
Digital Media Art; AIGC; Visual Design Teaching