Flynn, Katherine M and Ciolacu, Luminita and Fillery-Travis, Annette and Mayor, Luis (2022) Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? In: 8th International Conference on Higher Education Advances (HEAd’22), 2022, Universitat Politecnica de Valencia, Valencia.
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2023 Fillery-Travis, A. Teaching open science..pdf - Published Version Available under License CC-BY-NC-ND Creative Commons Attribution Non-commercial No Derivatives. Download (589kB) | Preview |
Abstract
Training can better meet user needs by involving the potential users early in the process. Here, development of open science training for food science students and professionals began with 11 guided interviews of 15 beneficiaries in a European project aiming to build a ‘food cloud’ of datasets and services (FNS-Cloud, H2020 No. 863059). Discussions covered what partners want to learn, how they prefer to learn, and who are their ideal trainers. Inductive coding of interview transcripts with NVivo 12 qualitative analysis software revealed an inclination for technical training with a focus on data. Face-to-face learning and on-demand elearning offered by younger scientists were preferred methods and trainers. Most interviewees also talked about ‘food cloud’-specific fears and desires. These interviews are now the foundation of three well received elearning courses and two workshop series supporting the value of user input in early course development decisions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | ** From Crossref proceedings articles via Jisc Publications Router ** History: epub 14-06-2022; issued 14-06-2022. |
| Uncontrolled Keywords: | Open science; course development; lifelong learning |
| Subjects: | L Education > L Education (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| SWORD Depositor: | JISC Publications Router |
| Depositing User: | JISC Publications Router |
| Date Deposited: | 22 Jun 2022 15:49 |
| Last Modified: | 11 Sep 2024 17:03 |
| URI: | https://repository.uwtsd.ac.uk/id/eprint/2023 |
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