Research on the Reform of the “Civil Engineering Drawing” Course in the Context of Artificial Intelligence

DOI: https://doi.org/10.62517/jnse.202517501

Author(s)

Shuang Yao, Liang Zhao*, Yuxin Yang, Mingjia Xu, Jianan Liang

Affiliation(s)

School of Civil Engineering and Architecture, Yangtze Normal University, Chongqing, China *Corresponding Author

Abstract

With the rapid advancement of artificial intelligence (AI), civil engineering drawing education faces dual challenges: the transformation of teaching models and evolving industry demands. This study examines persistent issues in the teaching of “Civil Engineering Drawing” courses—such as difficulties in developing spatial imagination, limited practical resources, and overly simplistic assessment methods—within the context of AI integration. A reform framework centered on “AI empowerment, virtual–real integration, and multidimensional reconstruction” is proposed. By incorporating intelligent software tools including CAD, BIM-Revit, and Blender, along with knowledge graph technology via the Learning Terminal platform, a comprehensive smart teaching system spanning “theory–practice–assessment” has been developed. Key initiatives include the introduction of 3D modeling software to facilitate spatial understanding, the design of dual-track experiments combining virtual simulation and hands-on operation to strengthen practical skills, and the implementation of a multidimensional evaluation system to assess student competencies comprehensively. Empirical evidence indicates that these reforms significantly enhance students’ spatial imagination, design capabilities, and human–machine collaboration skills, thereby effectively supporting the cultivation of civil engineering talent suited to the demands of intelligent construction.

Keywords

Civil Engineering Drawing; Artificial Intelligence; Virtual-Real Integrated Teaching; Teaching Reform; Knowledge Graph

References

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