AI驱动下艺术设计人才培养数智化转型路径研究
Research on the Digital and Intelligent Transformation Path of Art and Design Talent Cultivation Driven by AI
摘要: 近年来人工智能技术迅猛发展并深度渗透艺术设计领域，传统设计创作模式、行业业态都发生了重大变化，艺术设计人才的职业定位及能力标准都已被重塑，高校艺术设计人才培养模式加速向数智化转型。因此本文以AI技术赋能艺术设计的时代背景为出发点，结合当下艺术设计专业教学的现实状况，对艺术设计人才培养在课程体系、教学模式、实践建设、评价机制诸方面的现有局限予以系统梳理，继而讨论人工智能对艺术设计教育的机遇与挑战，最后厘清艺术设计人才培养的数智化转型路径。
Abstract: In recent years, artificial intelligence (AI) technology has developed rapidly and deeply penetrated into the field of art and design. Traditional design creation models and industry formats have undergone significant changes, and the professional orientation and ability standards of art and design talents have been reshaped. The talent cultivation model of art and design in universities has accelerated its transformation towards digitalization and intelligence. Therefore, this paper takes the era background of AI technology empowering art and design as the starting point, combines the current reality of art and design professional teaching, systematically sorts out the existing limitations of art and design talent cultivation in terms of curriculum system, teaching mode, practice construction, and evaluation mechanism, and then discusses the opportunities and challenges of AI to art and design education. Finally, it clarifies the path of digitalization and intelligence transformation for art and design talent cultivation.
文章引用：方心语, 李君华, 周应斌. AI驱动下艺术设计人才培养数智化转型路径研究[J]. 教育进展, 2026, 16(7): 1712-1721. https://doi.org/10.12677/ae.2026.1671551

参考文献

[1] 槐明路. 基于深度学习的人工智能在建筑方案创作中的应用[J]. 陶瓷, 2024(7): 170-172.
[2] “新中式”设计AI大模型生成作品展示[J]. 艺术学研究, 2024(4): 153.
[3] 王冰. 生成式AI技术在鞋类配色设计中的应用与分析[J]. 鞋类工艺与设计, 2024, 4(14): 198-200.
[4] 祝昆皓, 徐秀峰, 齐瑞文. AI赋能地方文创产品设计路径研究——以江西地方文化为例[J]. 包装工程, 2024, 45(S1): 191-197.
[5] 钟明, 杨旭超, 王佳丽. 基于AI图像处理的蜀锦、蜀绣创新设计技术及应用[J]. 纺织科技进展, 2024, 46(3): 56-59.
[6] 高雪, 蒋晓. 分布式认知视角下在线教育平台设计策略[J]. 包装工程, 2022, 43(12): 365-371.
[7] 黄武. AI时代高职艺术设计专业升级的路径探索[J]. 中国职业技术教育, 2022(11): 64-68, 81.
[8] 余胜泉, 刘恩睿. 智慧教育转型与变革[J]. 电化教育研究, 2022, 43(1): 16-23, 62.
[9] 胡清华, 王国兰, 王鑫. 校企深度融合的人工智能复合型人才培养探索[J]. 中国大学教学, 2022(3): 43-50, 57.
[10] 蔡媛青. 数智赋能时代高等教育评价的逻辑机理与优化路径[J]. 高教发展与评估, 2026, 42(2): 32-40, 182.
[11] Alcaide-Marzal, J. and Diego-Mas, J.A. (2025) Computers as Co-Creative Assistants. A Comparative Study on the Use of Text-to-Image AI Models for Computer Aided Conceptual Design. Computers in Industry, 164, Article ID: 104168.
https://doi.org/10.1016/j.compind.2024.104168
[12] Jung, D. and Suh, S. (2024) Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education. Sustainability, 16, Article 6973.
https://doi.org/10.3390/su16166973
[13] Chaudhuri, N.B. and Dhar, D. (2023) Digitizing Creativity Evaluation in Design Education: A Systematic Literature Review. International Journal of Technology and Design Education, 34, 1211-1242.
https://doi.org/10.1007/s10798-023-09846-6
[14] 王宁, 李躜雯, 林谷俞, 等. AI设计兴起背景下职业教育人才培养模式改革创新——以首饰设计与工艺专业为例[J]. 高教学刊, 2024, 10(11): 14-17, 23.
[15] 周嘉腾, 朱莉萍, 刁仪菲. 活动理论视域下的跨学科主题学习教研活动研究[J]. 教育理论与实践, 2025, 45(5): 3-8.

为你推荐