AI赋能的新工科教学方法探索与实践

——以桥梁工程学科为例

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关键词：大语言模型；新工科；桥梁工程；教学方法；教学实践

中图分类号：G642 文献标志码：A          文章编号：2096-000X（2025）18-0001-06

Abstract： The construction of new engineering disciplines is a crucial national strategy in response to the rapid development of the new economy， aimed at cultivating innovative talents in interdisciplinary fields. With the powerful language processing capabilities of Large Language Models （LLMs）， traditional teaching methods are facing new changes and challenges. Based on the context of new engineering education， this paper explores the application of generative large language models in bridge engineering education from three aspects： instructional design， examination guidance， and ideological-political education. The characteristics of generative large language models in practical teaching applications are analyzed. Practice demonstrates that generative large language models possess substantial professional knowledge reserves and can effectively analyze and solve professional problems， showing practical value in actual teaching scenarios.

Keywords： Large Language Models; new engineering; Bridge Engineering; teaching methods; teaching practice

《教育部高等教育司2023年工作要点》明确提出加快新工科建设，加强基础学科和交叉领域创新人才的培养。（剩余7488字）