Fusion skills for engineers working in Industry 5.0
Guile, David and Mitchell, John; (2022) Fusion skills for engineers working in Industry 5.0. In: Proceedings of the 8th International Symposium for Engineering Education. University of Strathclyde, Glasgow. ISBN 9781914241208
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Abstract
The introduction of the digital technologies that are heralding the coming of industry 5.0 present unique challenges to engineering education and engineering educators. The knowledge and skills requirements that have been fundamental to engineering education and imparted to engineering graduates across recent generations are likely to be, at best supplemented, at worst usurped by emerging digital skills in application specific data science, machine learning and AI. While some trends are emerging in the nature of these skills what impact they will have and how engineering education will need to react is less clear. In this paper, will we review several conceptualisations of these skills and aim to draw out the important aspects that engineering educators should be considering when designing future looking curricula. One particularly persuasive framing is that of fusion skills. These skills move on from the typically viewpoint of jobs being categorised as either human activities or machine activities and looks towards activities where humans and machine work in concert - as hybrid activities - requiring a fundamentally different skill set. We conclude by describe what an engineering curriculum might look like that integrates and promotes such emerging fusion skills to ensure our graduates are prepared to work in industry 5.0.
Persistent Identifier
https://doi.org/10.17868/strath.00082028-
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Item type: Book Section ID code: 82028 Dates: DateEvent1 September 2022Published24 August 2022Published Online11 July 2022AcceptedSubjects: Education > Theory and practice of education > Higher Education
TechnologyDepartment: Faculty of Engineering Depositing user: Pure Administrator Date deposited: 25 Aug 2022 07:02 Last modified: 24 Nov 2024 01:34 URI: https://strathprints.strath.ac.uk/id/eprint/82028