人工智能背景下岩土工程学科核心课的升级
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北京交通大学 土木建筑工程学院

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北京交通大学《土动力学及应用》专业核心课程建设项目


Upgrading of core-courses in geo-engineering under the background of artificial intelligence
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Beijing Jiaotong University

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    摘要:

    人工智能(AI)正广泛应用于土木工程类岩土工程学科领域,打破了传统教学方法的局限性,同时也为学科内涵的革新与人才培养模式的升级提供了新的思路和方法。本文基于岩土工程学科《土动力学及应用》核心课程,系统分析了教学中存在的课程体系滞后、跨学科合作不足、实践脱节等七大问题,并提出AI赋能《土动力学及应用》课程升级基本思路,目标是:(1)构建“AI+岩土”交叉学科课程体系;(2)打造“产学研用”协同培养平台;(3)推行“双导师制”与跨学科团队指导;(4)强化伦理与工程风险教育;(5)建立动态能力评估体系。基于“地震液化分析”案例,探讨了AI赋能对于提升学生解决复杂工程问题能力的有效性。研究表明,该框架可为土木工程领域新工科人才培养提供系统性解决方案,推动学科与行业向智能化转型。

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    With the advancement of artificial intelligence (AI), its application in the field of geotechnical engineering has gradually expanded, breaking the limitations of traditional methods and providing new perspectives and approaches for disciplinary innovation and talent cultivation. Based on the course Soil Dynamics and Applications, this paper systematically analyzes seven major problems existing in current teaching: outdated curriculum systems, insufficient interdisciplinary collaboration, disconnection from practice, and others. It proposes a fundamental framework for AI-empowered course enhancement:(1) Constructing an interdisciplinary "AI+Geotechnics" curriculum system;(2) Building an "industry-university-research-application" collaborative training platform;(3) Implementing a "dual-supervisor system" and interdisciplinary team guidance;(4) Strengthening ethics and engineering risk education;(5) Establishing a dynamic competency assessment system. Using the "seismic liquefaction analysis" case study, the effectiveness of AI empowerment in enhancing students" ability to solve complex engineering problems is explored. The research demonstrates that this framework can provide a systematic solution for cultivating new engineering talents in the civil engineering field, promoting the intelligent transformation of both the discipline and the industry.

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  • 收稿日期:2025-07-14
  • 最后修改日期:2025-09-13
  • 录用日期:2025-11-07
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