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生成式人工智能驱动的智能建造跨学科教育模式创新探索OA

Exploration on innovation of interdisciplinary education model for intelligent construction driven by generative artificial intelligence:taking Wuhan University as an example

中文摘要英文摘要

面对智能建造领域技术迭代加速的现实,传统工程教育体系暴露出诸多短板,难以满足行业对复合型人才的迫切需求.生成式人工智能(Generative Artificial Intelligence,简称GAI)凭借其强大的数据挖掘与分析能力、高度灵活的内容生成能力和卓越的智能交互特性,为高校教育模式变革提供了新的可能性.以武汉大学智能建造教育改革实践为例,结合大模型技术支撑的学科交叉生态,系统探讨了GAI重塑教育模式的创新途径,分析了GAI在应用过程中的潜在风险与挑战,并针对性地提出了应对策略,旨在推动智能建造教育领域的模式转换,促进建筑工程教育朝着智能化、高效化的方向深入发展.

With the rapid technological iteration in the intelligent construction field,the traditional engineering education system has exposed numerous shortcomings,making it difficult to meet the urgent demand of the industry for interdisciplinary talents.Endowed with powerful data mining and analysis capabilities,highly flexible content generation capabilities,and superior intelligent interaction features,generative artificial intelligence(GAI)provides new possibilities for the reform of education models in universities.Taking the educational reform practice of intelligent construction in Wuhan University as an example,combined with the interdisciplinary ecosystem supported by large language model technology,this paper systematically explores the innovative approaches of GAI in reshaping the education model,analyzes the potential risks and challenges in its application process,and puts forward targeted coping strategies.The research aims to promote the model transformation in the field of intelligent construction education,and further drive the development of architectural engineering education towards greater intelligence and efficiency.

陈振颂;谈玥

武汉大学 土木建筑工程学院,湖北 武汉 430072武汉大学 土木建筑工程学院,湖北 武汉 430072

社会科学

生成式人工智能智能建造学科交叉教育模式创新工程教育

generative artificial intelligence(GAI)intelligent constructioninterdisciplinary integrationeducational model innovationengineering education

《高等建筑教育》 2026 (1)

1-9,9

10.11835/j.issn.1005-2909.2026.01.001

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