Use of Large Language Models in Engineering Education: a Case Study on Infrastructure Design Report Introductions

EasyChair Preprint 15336

Abstract

This paper presents a case study focusing on the application of Large Language Models (LLMs) in engineering learning: composing the introduction section of a design report. Utilising three state-of-the-art (SOTA) LLMs, this study explores their capabilities through simple prompt and zero-shot Chain of Thought (CoT), examines common errors in the generations, and proposes an ad-hoc generation strategy to enhance output quality based on these observations. This study aims to provide a case to demonstrate the practical use of LLMs to students, fostering a deeper understanding and more skilled application in their coursework and professional tasks.

Keyphrases: Large Language Models in Education, Prompt Engineering, engineering education

@booklet{EasyChair:15336,
  author    = {Linxin Hua and Nan Zheng and Ye Lu and Lirui Guo and Jia Xu},
  title     = {Use of Large Language Models in Engineering Education: a Case Study on Infrastructure Design Report Introductions},
  howpublished = {EasyChair Preprint 15336},
  year      = {EasyChair, 2024}}