New Vistas on Responsible Learning Analytics

Cerratto Pargman, T; McGrath, C; Viberg, O; Knight, S

New Vistas on Responsible Learning Analytics

Cerratto Pargman, T McGrath, C Viberg, O Knight, S

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Publisher:: Society for Learning Analytics Research
Publication Type:: Journal Article
Citation:: Journal of Learning Analytics, 10, (1), pp. 1-16

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Field	Value	Language
dc.contributor.author	Cerratto Pargman, T
dc.contributor.author	McGrath, C
dc.contributor.author	Viberg, O
dc.contributor.author	Knight, S https://orcid.org/0000-0002-8709-5780
dc.date.accessioned	2023-03-14T07:34:38Z
dc.date.available	2023-03-14T07:34:38Z
dc.identifier.citation	Journal of Learning Analytics, 10, (1), pp. 1-16
dc.identifier.issn	1929-7750
dc.identifier.issn	1929-7750
dc.identifier.uri	http://hdl.handle.net/10453/167319
dc.description.abstract	<jats:p>The focus of ethics in learning analytics (LA) frameworks and guidelines is predominantly on procedural elements of data management and accountability. Another, less represented focus is on the duty to act and LA as a moral practice. Data feminism as a critical theoretical approach to data science practices may offer LA research and practitioners a valuable lens through which to consider LA as a moral practice. This paper examines what data feminism can offer the LA community. It identifies critical questions for further developing and enabling a responsible stance in LA research and practice taking one particular case — algorithmic decision-making — as a point of departure.</jats:p>
dc.language	en
dc.publisher	Society for Learning Analytics Research
dc.relation.ispartof	Journal of Learning Analytics
dc.relation.isbasedon	10.18608/jla.2023.7781
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1303 Specialist Studies in Education
dc.title	New Vistas on Responsible Learning Analytics
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	1303 Specialist Studies in Education
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Provost
pubs.organisational-group	/University of Technology Sydney/Provost/TD School
pubs.organisational-group	/University of Technology Sydney/Strength - CREDS - Centre for Research on Education in a Digital Society
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-14T07:34:37Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	10
utslib.citation.issue	1

Abstract:

The focus of ethics in learning analytics (LA) frameworks and guidelines is predominantly on procedural elements of data management and accountability. Another, less represented focus is on the duty to act and LA as a moral practice. Data feminism as a critical theoretical approach to data science practices may offer LA research and practitioners a valuable lens through which to consider LA as a moral practice. This paper examines what data feminism can offer the LA community. It identifies critical questions for further developing and enabling a responsible stance in LA research and practice taking one particular case — algorithmic decision-making — as a point of departure.

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http://hdl.handle.net/10453/167319