Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26831
Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: The hidden architecture of higher education: building a big data infrastructure for the 'smarter university'
Author(s): Williamson, Ben
Contact Email: ben.williamson@stir.ac.uk
Keywords: Dashboards
Data Infrastructure
Marketization
Standards
Visualization
Issue Date: Dec-2018
Citation: Williamson B (2018) The hidden architecture of higher education: building a big data infrastructure for the 'smarter university', International Journal of Educational Technology in Higher Education, 15 (1), Art. No.: 12. https://doi.org/10.1186/s41239-018-0094-1.
Abstract: Universities are increasingly organized and managed through digital data. The collection, processing and dissemination of Higher Education data is enabled by complex new data infrastructures that include both human and nonhuman actors, all framed by political, economic and social contingencies. HE data infrastructures need to be seen not just as technical programs but as practical relays of political objectives to reform the sector. This article focuses on a major active data infrastructure project in Higher Education in the United Kingdom. It examines the sociotechnical networks of organizations, software programs, standards, dashboards and visual analytics technologies that constitute the infrastructure, and how these technologies are fused to governmental imperatives of market reform. The analysis foregrounds how HE is being reimagined through the utopian ideal of the ‘smarter university’ while simultaneously being reformed through the political project of marketization.
DOI Link: 10.1186/s41239-018-0094-1
Rights: © The Author(s) 2018 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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