New Vistas on Responsible Learning Analytics A Data Feminist Perspective

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 p...

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Vydáno v:Journal of Learning Analytics Ročník 10; číslo 1; s. 133 - 148
Hlavní autoři: Cerratto Pargman, Teresa, McGrath, Cormac, Viberg, Olga, Knight, Simon
Médium: Journal Article
Jazyk:angličtina
Vydáno: 12.03.2023
Témata:
critical theory
Data feminism
ethical guidelines
learning analytics
responsibility
ISSN:1929-7750, 1929-7750
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Shrnutí: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.
ISSN:1929-7750
1929-7750
DOI:10.18608/jla.2023.7781