Research on the Mechanisms of the Digital Art Talent Cultivation Mode in Colleges and Universities Based on the AIGC

模式(计算机接口) 社会学 工程类 工程伦理学 工程管理 数学教育 计算机科学 心理学 人机交互
作者
Yihan Wang,Zhou Yu
出处
期刊:Journal of Educational Research and Policies [Century Science Publishing Co]
卷期号:6 (11): 89-94
标识
DOI:10.53469/jerp.2024.06(11).21
摘要

In the field of digital art, artificial intelligence-generated content (AIGC) technology is gradually becoming the core driving force of innovation. AIGC technology can automatically generate images, music, text and other types of artworks by simulating the creative process of human beings, providing new tools and platforms for digital art creation. Through the three methods of the literature review method, case study method, and interviews and questionnaire surveys, this paper thoroughly explores the current status of the application of AIGC in digital art education in colleges and universities, its teaching effect and its impact on the construction of teaching resources, teaching modes and evaluation systems. The research results show that AIGC technology can be used not only as a teaching tool but also as a platform to stimulate creativity and provide students with a new learning experience. Through data analysis, this paper reveals the potential of AIGC technology in enhancing students' interest in learning, creative expression, and technical mastery and proposes corresponding optimization of the teaching mode and evaluation system. In addition, this paper explores the challenges faced by AIGC technology in educational applications, such as ethical and legal issues, technological and cost challenges, insufficient faculty, and students' adaptability, and proposes corresponding countermeasures. Finally, this paper looks forward to the future development trend of AIGC in digital art education, highlights the contributions and innovations of the study, and provides references and suggestions for universities to cultivate new digital art talent in the era of AIGC.

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