• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

数字化场景下建筑工程实训类课程群深度学习设计路径研究

Research on the Deep Learning Design of the Construction Engineering Practical Training Course Group Under the Digital Scenario

  • 摘要: 建筑行业正处于数字化转型时期,信息化、智能化和绿色化协同建造技术的应用为建筑工业化提供了新的机遇,跨学科、多元化和复合型人才对数智时代工程建设具有重要意义。本文基于应用型本科建筑工程实训类课程的重构方法与措施,以建筑工程实训类课程群建设为研究对象,聚焦“智能建造”“城市更新”“智慧运维”和“绿色低碳”等领域,采用成果导向与工程育人相结合的教育理念,开展模块化和项目式的数字化全流程多专业协同教学模式研究。通过构建深度学习和混合式学习相结合的逻辑结构,运用人工智能生成技术进行信息提取、知识表达、知识融合和知识推理的迁移,促进学习者在混合学习环境下的协同知识建构能力,达成在数字化应用场景中建筑工程实训类课程群的机制建设和路径实施。

     

    Abstract: The construction industry is in a period of digital transformation, and the application of information technology, intelligence, and green collaborative construction technology provides new opportunities for the industrialization of construction. Interdisciplinary, diversified, and versatile talents are of great significance to the construction of the digital age project. This paper is based on the reconstruction methods and measures of application-oriented undergraduate architectural engineering training courses, with the construction of architectural engineering training course groups as the research object. It focuses on the fields of "intelligent construction", "urban renewal", "smart operation and maintenance", and "green low-carbon".Adopting the educational philosophy of combining results oriented and engineering oriented education, this paper will conduct research on a modular and project-based digital full process multi-disciplinary collaborative teaching model. By constructing a logical structure that combines deep learning and blended learning, and utilizing artificial intelligence generation technology for information extraction, knowledge expression, knowledge fusion, and knowledge reasoning transfer, it promotes learners' collaborative knowledge construction ability in a blended learning environment, and achieves the mechanism construction and path implementation of the construction engineering practical training course group in digital application scenarios.

     

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