Fearn, C. and Koya, K. (2021) Post-GDPR usage of students’ big-data at UK universities. In: Toeppe, K., Yan, H. and Chu, S.K.W., (eds.) Diversity, Divergence, Dialogue: 16th International Conference, iConference 2021, Beijing, China, March 17–31, 2021, Proceedings. 16th International Conference, iConference 2021, 17-31 Mar 2021, Beijing, China. Lecture Notes in Computer Science (12645). Springer International Publishing , pp. 165-182. ISBN 9783030712914
Abstract
Higher education institutions are extensively using students’ big-data to develop student services, create management or staff-led interventions and inform their strategic decisions etc. Following the implementation of the European Union’s General Data Protection Regulation (GDPR) in 2018, there has been extensive uncertainty regarding the use of students’ data. By conducting interviews with various University staff in the UK, this research aims to explore their understanding and usage of students’ data, post-GDPR implementation. The findings indicate students’ data is primarily used to build learning analytic tools and student-retention activities. Additionally, it was found that the understanding and usage of both big-data and GDPR differed across various Universities’ stakeholders, and there is inadequate support available to these stakeholders. Overall, this research indicates the adoption of big-data based learning analytics requires comprehensive development and implementation policies to address the challenges of learning analytics. Therefore, this research proposes such an approach through co-creation with staff and students; institutional research and staff training.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2021 Springer Nature Switzerland AG. |
Keywords: | GDPR; big-data; learning analytics; higher education |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Jun 2022 11:07 |
Last Modified: | 22 Jun 2022 11:07 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-71292-1_15 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188264 |