New Vistas on Responsible Learning Analytics: A Data Feminist Perspective

Autor/inn/en	Pargman, Teresa Cerratto; McGrath, Cormac; Viberg, Olga; Knight, Simon
Titel	New Vistas on Responsible Learning Analytics: A Data Feminist Perspective
Quelle	In: Journal of Learning Analytics, 10 (2023) 1, S.133-148 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Pargman, Teresa Cerratto) ORCID (McGrath, Cormac) ORCID (Viberg, Olga) ORCID (Knight, Simon)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Learning Analytics; Responsibility; Feminism; Ethics; Guidelines; Critical Theory; Data Science; Algorithms; Decision Making; Power Structure + Suchen Sie Ihr Suchwort? Verantwortungsübernahme; Zuständigkeit; Feminismus; Ethik; Richtlinien; Kritische Theorie; Algorithm; Algorithmus; Decision-making; Entscheidungsfindung
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. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01