A Study of Artificial Intelligence Generated Content Restructuring Teaching Models in Environmental Design Education: Concepts, Case Studies, and Implementation Pathways

Abstract

The powerful momentum by artificial intelligence generated content is driving the restructuring of teaching models in environmental design programs at universities. This study proposes a “6-level and 22-dimension” framework through which artificial intelligence generated content reshapes the teaching model of environmental design in higher education. The six levels comprise:(a) teaching concept, centered on teaching objectives, learning modes, and teacher–student relationships; (b) teaching content, centered on the structuring of knowledge systems, the multimodalization of resources, and the intelligent content supply; (c) teaching methods, centered on generation-driven learning, human–AI collaborative learning, and task chain–based instruction; (d) teaching processes, forming a closed loop that includes Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, and Summary; (e) teaching contexts, centered on smart classroom scenarios, online immersive scenarios, and virtual industrial-chain scenarios; and (f) teaching assessment, centered on whole-process evaluation, multidimensional evaluation, and AI-assisted evaluation. Drawing on foundational disciplinary courses, core professional courses, and practice-based courses in environmental design, the study employs this systematic analytical framework to examine the characteristics and alignment patterns of typical cases. It then proposes four strategic responses:conducting intelligent design training and optimizing the interface between digital and physical design, promoting human–AI co-evaluation to enhance critical cognitive abilities,developing personalized learning pathways supported by multidimensional dynamic assessment, and integrating cross-modal resources to enable intelligent practice simulations. These findings provide theoretical and practical references for the digital transformation of environmental design education in Chinese higher education institutions.