Possible applications of large language models (LLMs) in engineering education: an overview

Abstract

The research described in this paper explores the integration of Large Language Models (LLMs), particularly ChatGPT, into engineering education, focusing at the end on mechanical one. Investigating the widespread adoption of generative AI tools, the study systematically reviews their applications, usage patterns, and overall impact on knowledge acquisition in higher education. The research delves into specific applications, highlighting ChatGPT role in product design, development, and innovation. The analysis, based on a systematic review of 67 papers, categorizes findings into general and subject-specific applications, revealing notable instances in computer science and mechanical engineering. The study addresses key research questions, elucidating the diverse applications of ChatGPT, especially in supporting knowledge extension and creative idea generation. The findings underscore the transformative potential of LLMs in engineering education, emphasizing the need for careful implementation to balance AI assistance and human engagement. As ChatGPT continues to evolve, this work contributes to the ongoing discourse on effectively harnessing LLMs in educational settings, laying the groundwork for future exploration and guideline development.

Keywords: Generative AI (GenAI), Large Language Models (LLMs), ChatGPT, Engineering Education

DOI: 10.54941/ahfe1005390