From Imitation to Creation: An Innovative Path for Artificial Intelligence in Architectural Design Education
摘要: 随着人工智能技术的快速发展,其在教育领域的应用正在不断深入,为建筑设计教育的创新提供了新的机遇。传统的建筑设计教学模式主要聚焦于知识传授和技能模仿,难以满足新时代对创新型建筑人才的需求。本文探讨了人工智能技术在建筑设计教育中的赋能潜力,分析了通过生成算法、大数据分析和智能工具优化教学模式的具体途径。研究提出了一种以培养学生创造性思维和创新能力为核心目标的“三阶段模型”(模仿、探索、创造)。通过结合理论模型与实践案例,验证了人工智能驱动的创新教学模式的有效性。以图书馆建筑设计教学为例,本文设计了一个具有反馈机制的教学过程和评价体系,大幅提升了教学效率和学生的实践能力。研究表明,人工智能技术的沉浸性、交互性和想象力特质对建筑设计教育产生了深远影响。它不仅促进了教学模式从“模仿”向“创造”的转变,也为未来教育模式的创新提供了宝贵参考。
Abstract: With the rapid development of artificial intelligence technology, its application in the field of education has been deepening, providing new opportunities for innovation in architectural design education [1]. Traditional architectural design teaching models primarily focus on knowledge transmission and skill imitation, which struggle to meet the demand for innovative architectural talent in the new era [2]. This paper explores the empowering potential of artificial intelligence technology in architectural design education, analyzing specific approaches to optimizing teaching models through generative algorithms, big data analysis, and intelligent tools. The study proposes a "three-stage model" (imitation, exploration, creation), with the core objective of cultivating students’ creative thinking and innovative abilities [3][4]. By combining theoretical models with practical case studies, the effectiveness of AI-driven innovative teaching models is validated [9]. Taking renovation of old buildings architectural design education as an example, this paper designs a teaching process and evaluation system with a feedback mechanism, significantly enhancing teaching efficiency and students’ practical skills. The research demonstrates that the immersive, interactive, and imaginative qualities of artificial intelligence technology have a profound impact on architectural design education. It not only facilitates the transformation of teaching models from "imitation" to "creation" but also provides a valuable reference for the innovation of future educational models.
[V1] | 2025-03-26 17:15:39 | PSSXiv:202503.03351V1 | 下载全文 |
1. 教育智慧:AI时代教师的核心素养 | 2025-04-26 |
2. 大学生数字劳动素养培育路径探析 | 2025-04-26 |
3. 职业教育赋能新质生产力的现实困境与行动逻辑 | 2025-04-26 |
4. 新质生产力赋能高等职业教育高质量发展路径研究 | 2025-04-26 |
5. 乡村振兴视域下高职院校劳动教育实施路径——以天津市津南区为例 | 2025-04-26 |