生成式人工智能赋能设计美育教学的创新路径探索——以"公共艺术设计"课程为例
Exploring Innovative Paths of Generative Artificial Intelligence in Empowering Design Aesthetic Education:a Case Study of the Public Art Design Course
李红梅 1李嘉磊 2解晓美 1李思颖1
作者信息
- 1. 济南大学,山东济南 250000
- 2. 北京建筑大学,北京 100000
- 折叠
摘要
以"公共艺术设计"课程为例,从课程目标、教学内容、教学活动及反馈层面,将人工智能技术结合"传统设计"向"人机共创"、从"设计知识"向"关联知识体系"、从"设计成果"向"设计过程"转换,探索生成式人工智能赋能设计美育的创新路径,提升学生设计素养,激发学生的创造活力.
Abstract
Taking the course of Public Art Design as a case study,this paper explores the integration of artificial intelligence technology with"traditional design"through a shift from"human-computer co-creation"to"design knowledge"to"associated knowledge system",and from"design results"to"design process".The paper examines this transformation from the aspects of course objectives,teaching content,teaching activities and feedback,aiming to explore the innovative path for generative artificial intelligence in empowering design aesthetic education,improving students'design literacy,and stimulating students'creative vitality.
关键词
生成式人工智能/设计美育/创新路径Key words
generative artificial intelligence/design aesthetic education/innovation paths引用本文复制引用
出版年
2024
NETL
NSTL
万方数据