生成式人工智能赋能环境设计专业产教融合：逻辑机理、实践进路与发展向度

Empowering Industry-Education Integration in Environmental Design through Generative Artificial Intelligence: Logical Mechanisms, Practical Pathways, and Developmental Dimensions

摘要: 生成式人工智能(AIGC)的快速发展为环境设计专业深化产教融合提供了新动能。文章围绕AIGC如何赋能环境设计专业产教融合展开研究，探讨其在知识生成、能力培养、协同机制与教育治理等层面的逻辑机理，分析教学内容、平台系统、教师能力与制度机制的实践路径，并进一步提出实现协同育人高质量发展的未来方向。研究指出，AIGC不仅是设计辅助工具，更是支撑教育与产业深度耦合的基础设施，对推动应用型本科教育高质量发展、服务国家现代化战略具有重要意义。

Abstract: The rapid development of generative artificial intelligence (AIGC) has provided new momentum for advancing the integration of industry and education in the field of environmental design. This study focuses on the mechanisms by which AIGC empowers such integration, systematically examining its logical foundations in knowledge generation, competence development, collaborative coordination, and ecological governance. It further analyzes practical pathways across teaching content, platform systems, faculty capabilities, and institutional mechanisms, while exploring the developmental trajectory of high-quality collaborative education enabled by AIGC in environmental design programs. The research argues that AIGC is not merely a design tool, but is poised to become a foundational infrastructure for deeply coupling educational systems with industrial needs. It holds significant implications for promoting the high-quality development of application-oriented undergraduate education and for supporting the strategic goals of Chinese-style modernization.