人工智能背景下岩土工程学科核心课的升级——兼论土木类课程的发展方向
CSTR:
作者:
作者单位:

北京交通大学 土木建筑工程学院,北京 100044

作者简介:

白冰,男,二级教授,博士,博士研究生导师,岩土工程系主任。

通讯作者:

中图分类号:

G642

基金项目:

北京交通大学土动力学及应用专业核心课程建设项目(YJSSQ20250060)


Upgrading of core-courses in geo-engineering under the background of artificial intelligence:development direction of civil engineering
Author:
Affiliation:

School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, P.R.China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    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。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,旨在构建“AI+岩土”交叉学科课程体系、打造“产学研用”协同培养平台、推行“双导师制”与跨学科团队指导、强化伦理与工程风险教育、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,以期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。

    Abstract:

    The expanded application of artificial intelligence (AI) in the field of geotechnical engineering has broken through the limitations of traditional methods and provided new perspectives and approaches for disciplinary innovation and talent cultivation. Based on the course soil dynamics and applications, this paper systematically analyzes the problems existing in current teaching: outdated curriculum systems, insufficient interdisciplinary collaboration, disconnection from practice, and others.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: constructing an interdisciplinary AI + geotechnics curriculum system; building an industry-university-research-application collaborative training platform; implementing a dual-supervisor system and interdisciplinary team guidance; strengthening ethics and engineering risk education; 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. This paper aims to 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.

    参考文献
    相似文献
    引证文献
引用本文

白冰.人工智能背景下岩土工程学科核心课的升级——兼论土木类课程的发展方向[J].高等建筑教育,2026,35(1):30-36.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:2025-07-12
  • 录用日期:
  • 在线发布日期: 2026-03-09
  • 出版日期:
文章二维码