Practical Logic and Future Trends of Artificial Intelligence Empowering Environmental Design Education
Abstract
With the rapid advancement of artificial intelligence technologies in areas such as image generation, spatial simulation, and behavior recognition, environmental design education is undergoing a profound paradigm shift. Based on the context of AI empowerment, this paper systematically analyzes the practical logic and reconstruction pathways of artificial intelligence in environmental design education, covering multiple dimensions including curriculum content, competency structures, course systems, evaluation mechanisms, and educational ethics. The study highlights that while AI enhances teaching efficiency, boosts creative expression, and expands design logic, it also brings challenges related to students’ creative subjectivity, cultural diversity in expression, and fairness in evaluation. As “human-machine collaboration” becomes a new norm in teaching, environmental design education must move beyond tool-dependent thinking and construct an instructional framework that integrates intelligent generation, humanistic judgment, and systemic capabilities. The paper emphasizes the need to transition from “technological embedding” to “value co-construction” in order to achieve sustainable innovation and deep transformation in environmental design education.
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