A ‘snapshot’ of engineering practitioners views of ChatGPT-informing pedagogy in higher education

Mike Murray, Ross Maclachlan, Gordon M. H. Flockhart, Richard Adams, Vitor Magueijo, Martin Goodfellow, Konstantinos Liaskos, William Hasty, Veeti Lauro

Research output: Contribution to journalArticlepeer-review

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Abstract

A new discourse has proliferated in teaching and learning committee meetings- Large Language Models (LLMs), most commonly Chat Generative Pre-Trained Transformer (ChatGPT). ChatGPT ‘went viral’ across HEIs during 2022 and it could be said that for academics, this has been more ‘shock’ than ‘awe’. A shock that this Artificial Intelligence (AI) software can generate semi-credible coursework, and that students have swiftly enacted their agency. In this paper we take an ‘employability’ lens on ChatGPT and contribute to a growing body of research on AI within HEIs. Through understanding how employers and their employees are adopting LLMs in their workplace. Our Qualtrics survey of practicing engineers (N = 86) was undertaken over a four-week period during the period June-July 2023 and provides a ‘snapshot’ in time. That is, given the rapidity of how ChatGPT is metamorphosing, our data and subsequent conclusions are attributable to a version ChatGPT 3-3.5 in use during this period.

Original languageEnglish
Article number2492736
JournalEuropean Journal of Engineering Education
Early online date24 Apr 2025
DOIs
Publication statusE-pub ahead of print - 24 Apr 2025

Keywords

  • Artificial intelligence
  • ChatGPT
  • Engineers
  • Pedagogy

ASJC Scopus subject areas

  • Education
  • General Engineering

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