A 'Snapshot' of Engineering Practitioners Views of ChatGPT-Informing Pedagogy in Higher Education
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| Title: | A 'Snapshot' of Engineering Practitioners Views of ChatGPT-Informing Pedagogy in Higher Education |
|---|---|
| Language: | English |
| Authors: | Mike Murray (ORCID |
| Source: | European Journal of Engineering Education. 2026 51(1):104-129. |
| Availability: | Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 26 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Higher Education, Artificial Intelligence, Engineering Education, Engineering, Technical Occupations, Industry, Education Work Relationship, Employer Attitudes, Employee Attitudes, Foreign Countries, Technology Uses in Education |
| Geographic Terms: | United Kingdom |
| DOI: | 10.1080/03043797.2025.2492736 |
| ISSN: | 0304-3797 1469-5898 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1503091 |
| Database: | ERIC |
| 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. |
|---|---|
| ISSN: | 0304-3797 1469-5898 |
| DOI: | 10.1080/03043797.2025.2492736 |
