AI賦能的新工科教學(xué)方法探索與實(shí)踐

——以橋梁工程學(xué)科為例

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關(guān)鍵詞：大語言模型；新工科；橋梁工程；教學(xué)方法；教學(xué)實(shí)踐

中圖分類號：G642 文獻(xiàn)標(biāo)志碼：A          文章編號：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年工作要點(diǎn)》明確提出加快新工科建設(shè)，加強(qiáng)基礎(chǔ)學(xué)科和交叉領(lǐng)域創(chuàng)新人才的培養(yǎng)。（剩余7488字）