| Issue |
MATEC Web Conf.
Volume 395, 2024
2023 2nd International Conference on Physics, Computing and Mathematical (ICPCM2023)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/matecconf/202439501021 | |
| Published online | 15 May 2024 | |
The practice and reflection of generative AI in the cultivation of aesthetic education in colleges and universities: Centred on environmental design major
College of Art and Design, Wuhan Textile University, Wuhan 430073, China
* Corresponding author: 867431874@qq.com
Through a comprehensive analysis of the development history of generative AI and its application in the aesthetic education of environmental design majors, this paper aims to reveal its potential significance and revelations in the field of aesthetic education. This paper first outlines the concept and development history of generative AI, and then delves into its practice in the aesthetic education of environmental design majors. For different application scenarios, including natural language processing, image recognition, audio processing and video synthesis, its specific applications and effects in aesthetic education are explored respectively. By analysing the practice of generative AI in the cultivation of aesthetic education for environmental design majors, it is found that it has potential value in several aspects, and generative AI can provide students with more personalised and diverse learning experiences and expand the boundaries of aesthetic education. At the same time, it can also assist teachers in teaching design and assessment, and improve teaching efficiency and quality. With the continuous development and application of AI technology, the combination of generative AI and aesthetic education in environmental design will show a more diverse and extensive trend
Key words: Generative AI / University aesthetics / Environmental design
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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