Ethical considerations in adopting a university- and system-wide approach to data and learning analytics

The rapid adoption of learning analytics in the higher education sector has not been matched by ethical considerations surrounding their use, with ethical issues now slated as one of the major concerns facing learning analytics. Further, adoption of learning analytics within universities has typical...

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Main Authors: Roberts, Lynne, Chang, V., Gibson, D.
Format: Book Chapter
Published: Springer 2016
Online Access:http://hdl.handle.net/20.500.11937/3314
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author Roberts, Lynne
Chang, V.
Gibson, D.
author_facet Roberts, Lynne
Chang, V.
Gibson, D.
author_sort Roberts, Lynne
building Curtin Institutional Repository
collection Online Access
description The rapid adoption of learning analytics in the higher education sector has not been matched by ethical considerations surrounding their use, with ethical issues now slated as one of the major concerns facing learning analytics. Further, adoption of learning analytics within universities has typically involved small-scale projects rather than university- or system-wide approaches, and missing from the research literature is consideration of learning analytics from a ‘big systems’ point of view. We begin to address these gaps through providing an introduction to ethical considerations in adopting a university- and system-wide approach to learning analytics. Drawing on the existing literature on ethical considerations associated with learning analytics, we identify key questions that require consideration during the process of introducing learning analytics within a university. We then map these questions onto layers of systems and roles within universities, detailing how these ethical considerations may affect learning analytics decisions at differing levels of the university.
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spelling curtin-20.500.11937-33142020-07-22T06:29:58Z Ethical considerations in adopting a university- and system-wide approach to data and learning analytics Roberts, Lynne Chang, V. Gibson, D. The rapid adoption of learning analytics in the higher education sector has not been matched by ethical considerations surrounding their use, with ethical issues now slated as one of the major concerns facing learning analytics. Further, adoption of learning analytics within universities has typically involved small-scale projects rather than university- or system-wide approaches, and missing from the research literature is consideration of learning analytics from a ‘big systems’ point of view. We begin to address these gaps through providing an introduction to ethical considerations in adopting a university- and system-wide approach to learning analytics. Drawing on the existing literature on ethical considerations associated with learning analytics, we identify key questions that require consideration during the process of introducing learning analytics within a university. We then map these questions onto layers of systems and roles within universities, detailing how these ethical considerations may affect learning analytics decisions at differing levels of the university. 2016 Book Chapter http://hdl.handle.net/20.500.11937/3314 10.1007/978-3-319-06520-5_7 Springer restricted
spellingShingle Roberts, Lynne
Chang, V.
Gibson, D.
Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title_full Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title_fullStr Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title_full_unstemmed Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title_short Ethical considerations in adopting a university- and system-wide approach to data and learning analytics
title_sort ethical considerations in adopting a university- and system-wide approach to data and learning analytics
url http://hdl.handle.net/20.500.11937/3314