新工科背景下建筑土木研究生复合型人才培养模式探索——以研究生“建筑空调虚拟仿真与人工智能”课程为例
Exploring the Cultivation Model of Interdisciplinary Talents in Architecture and Civil Engineering for Postgraduates under the Background of Emerging Engineering Education—A Case Study of the Postgraduate Course “Building Air Conditioning”
摘要: 新工科建设与人工智能技术的快速发展,对建筑土木类研究生培养提出了知识交叉、能力复合的新要求,但传统培养模式长期存在学科壁垒森严、知识结构单一、技术素养滞后等结构性困境。本文以“课程锚点”为改革策略,选取处于学科交叉节点的《建筑空调虚拟仿真与人工智能》研究生课程作为突破口,从课程定位重塑、知识体系重构、教学模式创新以及课程思政有机融入四个维度,系统阐述了“锚点驱动、双线融合、三级进阶”的复合型人才培养模式改革实践。研究发现,以核心课程为“微缩试验区”推进培养模式改革,能够在有限资源条件下实现知识迭代与能力升级的有效联动;为传统工科专业在新工科背景下的渐进式转型提供了一条可操作、可推广的实践路径。
Abstract: The rapid advancement of emerging engineering education and artificial intelligence technologies has imposed new requirements on postgraduate training in architecture and civil engineering, necessitating interdisciplinary knowledge integration and compound competency development. However, the traditional training model has long suffered from structural deficiencies, including rigid disciplinary boundaries, monolithic knowledge structures, and obsolescent technological literacy. Taking the “curriculum anchor” as a reform strategy, this study selects the postgraduate course Virtual Simulation and Artificial Intelligence in Building Air Conditioning—a pivotal node at the interdisciplinary intersection—as a breakthrough point. It systematically elaborates on the reform practice of a compound talent training model characterized by “anchor-driven, dual-track integration, and three-level progression” from four dimensions: repositioning of course objectives, restructuring of knowledge systems, innovation in teaching methodologies, and organic integration of value-based education. The findings reveal that adopting a core course as a “micro-experimental zone” for training model reform can effectively synergize knowledge renewal and capability enhancement under constrained resources. This approach offers a feasible and scalable pathway for the gradual transformation of traditional engineering disciplines in the context of emerging engineering education.
文章引用:李冠男, 袁远, 刘腊美, 陈敏, 高佳佳, 李涛. 新工科背景下建筑土木研究生复合型人才培养模式探索——以研究生“建筑空调虚拟仿真与人工智能”课程为例[J]. 教育进展, 2026, 16(8): 580-589. https://doi.org/10.12677/ae.2026.1681668

参考文献

[1] 关于加快建设发展新工科实施卓越 工程师教育培养计划2.0的意见: 教高〔2018〕3号[EB/OL]. 2018-09-17.
http://www.moe.gov.cn/srcsite/A08/moe_742/s3860/201810/t20181017_351890.html, 2026-06-25.
[2] 住房城乡建设部办公厅, 关于印发《智能建造技术导则(试行)》的通知: 建办市〔2025〕14号[EB/OL]. 2025-03-17.
https://www.gov.cn/zhengce/zhengceku/202503/content_7014454.htm, 2026-06-25.
[3] 王林珠, 王净丰, 王克珍. 人工智能背景下新工科专业人才培养存在的问题及对策[J]. 西部素质教育, 2026, 12(9): 43-46.
[4] 王巧云, 方海. 绿色智能转型背景下土木工程研究生学科交叉培养模式研究与实践[J]. 硅酸盐通报, 2026, 45(2): 735-740.
[5] 胡博, 闫龙. 交叉学科在土木工程教学与科研中的应用研究与实践[J]. 智慧引航, 2025(33): 81-83.
[6] 骆浩浩, 边亚东, 袁振霞, 等. 人工智能在土木工程教学改革中的应用与前景[J]. 高等建筑教育, 2026, 35(3): 53-59.
[7] 赵晓霞, 蒋琦玮, 王卫东, 等. 坚持立德树人创建土木工程专业课程思政育人体系[J]. 高等建筑教育, 2022, 31(6): 95-103.
[8] 饶佩. 现代学科范式下高等教育学的再学科化研究[D]: [博士学位论文]. 广州: 华南师范大学, 2025.
[9] 黄美根, 王涛, 明梦君, 等. 基于建构主义的工程能力CDIO实践培养模式[J]. 高等工程教育研究, 2023(4): 58-64.
[10] 教育部办公厅关于推荐新工科研究与实践项目的通知: 教高厅函〔2017〕33号[EB/OL]. 2017-06-21.
http://www.moe.gov.cn:8080/srcsite/A08/s7056/201707/t20170703_308464.html, 2026-06-25.