“AI+论著查询”模式在“土木工程施工”教学中的应用探索
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作者单位:

内江师范学院建筑工程学院


Application of the "AI + Literature Query" Model in Teaching "Civil Engineering Construction"
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School of Architectural Engineering,Neijiang Normal University

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    摘要:

    本文聚焦生成式人工智能在土木工程专业“土木工程施工”教学中的实践应用探索,在课程教学中要求学生应用“AI+论著查询”模式完成作业,培养并指导学生合理使用人工智能进行专业学习和问题研究。通过5次渐进式的作业批改和课堂指导,以及收集期初和期末学生反馈,发现“AI+论著查询”模式在“土木工程施工”课程学习中可以帮助学生提升学习效率,强化概念理解,同时也改变学生学习方法和习惯。这种模式培养学生批判性思维方面呈现出两面性,而这个问题可能会进一步导致教育分化加剧。另外在“土木工程施工”专业领域的深入学习中,人工智能体现出缺乏数据支撑与理论逻辑推导的不足,需要辅以专业文献的检索和印证以及教师的悉心指导。

    Abstract:

    This paper focuses on the practical application of AI in the teaching of "Civil Engineering Construction" within the civil engineering discipline. Students were required to use the "AI + literature query" model to complete assignments as part of the course, with the aim of fostering and guiding students in the effective use of AI for professional learning and problem research. Through five progressive assignments, classroom guidance, and the collection of student feedback at the beginning and end of the term, it was found that the "AI + literature query" model enhanced students' learning efficiency, strengthened their conceptual understanding, and altered their learning methods and habits. However, this model displayed a dual impact on the development of students' critical thinking, potentially exacerbating educational disparities. Furthermore, in the in-depth study of the "Civil Engineering Construction" field, AI demonstrated limitations in providing data support and theoretical logic. These shortcomings necessitate the supplementary use of professional literature retrieval, verification, and meticulous teacher guidance.

    参考文献
    张夏恒.类ChatGPT人工智能技术嵌入数字政府治理:价值、风险及其防控[J].电子政务,2023(04):45-56.
    陈增照,石雅文,王梦珂.人工智能助推教育变革的现实图景——教师对ChatGPT的应对策略分析[J].广西师范大学学报(哲学社会科学版),2023,59(02):75-85.
    焦建利.ChatGPT助推学校教育数字化转型——人工智能时代学什么与怎么教[J].中国远程教育,2023,43(04):16-23.
    武法提,夏志文,高姝睿.以生成式人工智能重塑智慧学习环境:从要素改进到生态重构[J/OL].电化教育研究,2025,(01):54-63[2025-01-13].
    李晓文,徐媛媛,翟雪松,等.生成式人工智能赋能高校学生发展:国际经验与中国路径[J].中国远程教育,2024,44(12):36-49.
    王佑镁,王旦,梁炜怡,等.“阿拉丁神灯”还是“潘多拉魔盒”:ChatGPT教育应用的潜能与风险[J].现代远程教育研究,2023,35(02):48-56.
    张艳丽,杨颉.ChatGPT在高等教育应用中的“科林格里奇困境”及其对知识生产与人才培养的影响[J].上海交通大学学报(哲学社会科学版),2024,32(10):99-109.
    Qadir J. Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education[C]//2023 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2023: 1-9.
    Yilmaz R, Yilmaz F G K. The effect of generative artificial intelligence (AI)-based tool use on students'' computational thinking skills, programming self-efficacy and motivation[J]. Computers and Education: Artificial Intelligence, 2023, 4: 100147.
    He Z, Nguyen T, Miari T, et al. The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering[C]//2024 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2024: 1-10.
    卢滇楠,党漾,王宏宁,等.生成式人工智能赋能高校课程教学:以“化工热力学”课程为例[J].清华大学教育研究,2024,45(05):89-98.
    张玉娟,李思凡,张钰.ChatGPT在材料模拟课程中的应用探究[J].化学教育(中英文),2024,45(16):100-104.DOI:10.13884/j.1003-3807hxjy.2023120099.
    周加贝,林祎,霍佳鑫,等.智慧引领,学以致用:人工智能大模型在四川大学本科教学中的应用探索[J].数字与缩微影像,2024,(03):11-14.
    田莉,杨鑫,张雨迪,等.“专业知识+人工智能”双驱动的城乡规划设计教育创新探索:以住区规划为例[J/OL].城市规划学刊,2024,(05):71-78[2024-12-19].
    李承超,姜朋明.生成式人工智能ChatGPT助推工程地质课程双语教学的探索与实践[J].大学教育,2023,(23):97-99+113.
    Uddin S M J, Albert A, Tamanna M, et al. ChatGPT as an educational resource for civil engineering students[J]. Computer Applications in Engineering Education, 2024: e22747.
    Toyama K. Geek heresy: Rescuing social change from the cult of technology[M]. PublicAffairs, 2015.
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  • 收稿日期:2025-02-17
  • 最后修改日期:2025-02-28
  • 录用日期:2025-04-23
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