Hunt, Ingrid, Power, Jason, Young, Keith and Ryan, Alan (2023) Optimising industry learners’ online experiences – lessons for a post-pandemic world. European Journal of Engineering Education, 48 (2). pp. 358-373. ISSN 0304-3797
Preview
KY_optimising.pdf
Download (2MB) | Preview
Abstract
This study examines the experiences and impact COVID-19 has had on industry online learners. Exploring initially the term ‘industry learner' and explaining the background to the design of the online modules the learners participated on. The design and delivery of this programme resulted in minimal impacts from the COVID-19 pandemic. The study explores qualitative reports of industry learners’ experiences, and these are analysed using thematic analysis. The findings suggest that the design principle of maximising social interaction, at peer to peer and peer to educator levels, resulted in an enhanced student experience. Group based interactions were recognised by learners as both an occasional source of friction, but also as a valuable proxy for industry leadership roles and workplace group dynamics. This highlights the complex enhancing and inhibiting nature of group-based learning. Implications for further optimisation of online and blended learning environments are explored and associated future research priorities are identified.
Item Type: | Article |
---|---|
Keywords: | Online learning; industry learning; blended learning; adult learner; student experience; |
Academic Unit: | Faculty of Social Sciences > Education |
Item ID: | 17888 |
Identification Number: | 10.1080/03043797.2022.2112553 |
Depositing User: | Keith Young |
Date Deposited: | 28 Nov 2023 12:40 |
Journal or Publication Title: | European Journal of Engineering Education |
Publisher: | Taylor and Francis Group |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/17888 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year