生成式AI在艺术类高校培养方案中的差异化应用研究——以上海视觉艺术学院为例

Research on the Differentiated Application of Generative AI in the Training Programs of Art Universities—A Case Study of Shanghai Institute of Visual Arts

摘要: 近年来，随着AI技术的迅猛发展教育界也迎来了新的变革机遇与挑战。本研究以上海视觉艺术学院为样本探究了生成式AI在艺术教育中的差异化应用方法，旨在借助技术赋能优化人才培育模式。文章分析了图像、音乐和文本生成等技术在不同艺术学类专业中的应用特点和潜力并针对性提出差异化规划方案：设计学类侧重工具链整合，戏剧与影视学类突出全产业链赋能，美术学类强调传统技艺与数字技术的平衡，音乐与舞蹈学类突出AI辅助创作。文章还强调需关注学术伦理与技术依赖风险，建议建立AI创作溯源系统，并在使用AI工具时坚守“艺术为本，技术为辅”的原则。本研究为艺术类高校AI融合艺术教育提供了可实施的方案，助力培养兼具技术素养与艺术创新能力的复合型人才。

Abstract: In recent years, with the rapid development of AI technology, the education sector has also ushered in new opportunities and challenges for change. Taking the Shanghai Institute of Visual Arts as a sample, this study explores the differentiated application methods of generative AI in art education, aiming at optimizing the talent cultivation mode with the help of technological empowerment. This paper analyzes the application characteristics and potential of technologies such as image, music and text generation in different art majors, and puts forward differentiated planning schemes: design majors focus on tool chain integration, drama and film and television majors highlight the empowerment of the whole industry chain, art majors emphasize the balance between traditional skills and digital technology, and music and dance majors emphasize AI-assisted creation. The article also emphasizes the need to pay attention to academic ethics and the risk of technology dependence, and suggests to establish a traceability system for AI creation, and adhere to the principle of “art-oriented, technology-assisted” when using AI tools. This study provides an implementable scheme for AI-integrated art education in art colleges and universities and helps cultivate compound talents with both technical literacy and artistic innovation ability.