A 'snapshot' of engineering practitioners views of ChatGPT-informing pedagogy in higher education
Murray, Mike and MacLachlan, Ross and Flockhart, Gordon M. H. and Adams, Richard and Magueijo, Vitor and Goodfellow, Martin and Liaskos, Konstantinos and Hasty, William and Lauro, Veeti (2025) A 'snapshot' of engineering practitioners views of ChatGPT-informing pedagogy in higher education. European Journal of Engineering Education. ISSN 0304-3797 (https://doi.org/10.1080/03043797.2025.2492736)
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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.
ORCID iDs
Murray, Mike






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Item type: Article ID code: 92588 Dates: DateEvent24 April 2025Published24 April 2025Published Online9 April 2025Accepted17 June 2024SubmittedSubjects: Technology > Engineering (General). Civil engineering (General)
Education > Theory and practice of education > Higher Education
Science > Mathematics > Electronic computers. Computer science > Other topics, A-Z > Human-computer interactionDepartment: Faculty of Engineering > Civil and Environmental Engineering
Faculty of Engineering > Design, Manufacture and Engineering Management
Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Chemical and Process Engineering
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Faculty of Science > Computer and Information SciencesDepositing user: Pure Administrator Date deposited: 11 Apr 2025 13:34 Last modified: 02 May 2025 13:44 URI: https://strathprints.strath.ac.uk/id/eprint/92588