Exploration of the Innovation of Interdisciplinary Education Model for Intelligent Construction Driven by Generative Artificial Intelligence—Taking Wuhan University as an Example
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School of Civil Engineering,Wuhan University

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72171182

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    Abstract:

    With the rapid development of Generative Artificial Intelligence (GAI) in engineering fields, intelligent construction talent cultivation faces an urgent need for educational transformation. The research constructs a three-dimensional educational innovation system of "technology empowerment-curriculum reconstruction-faculty collaboration" for intelligent construction education from the perspective of GAI empowering engineering education. In the technology empowerment dimension, GAI upgrades the entire teaching process to a human-machine co-creation model through design innovation, virtual-real integrated training, and personalized learning paths. In the curriculum reconstruction dimension, GAI achieves semantic reconstruction of interdisciplinary knowledge elements, technology chain coupling, and dynamic evolution of knowledge ecosystems. In the faculty collaboration dimension, a "double helix" teaching community is established, forming interdisciplinary teaching teams, AI-empowered faculty platforms, and teaching resource regeneration mechanisms. Using Wuhan University's intelligent construction education practice as a case study, implementation paths based on technological maturity adaptability, industry-university-research collaborative closed-loop, digital educational infrastructure, and software supply ecosystems are analyzed. The research also identifies potential risks including technical application boundary ambiguity, faculty transformation resistance, and ethical deficiencies, proposing systematic response strategies from policy regulations, educational resource optimization, and faculty ethics construction. The research results provide theoretical frameworks and practical references for engineering education to address technological changes and cultivate compound talents in intelligent construction.

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History
  • Received:March 23,2025
  • Revised:June 26,2025
  • Adopted:September 04,2025
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