Tensions and Trade-Offs of Participatory Learning in the Age of Machine Learning

Autor/inn/en	Vartiainen, Henriikka; Tedre, Matti; Kahila, Juho; Valtonen, Teemu
Titel	Tensions and Trade-Offs of Participatory Learning in the Age of Machine Learning
Quelle	In: Educational Media International, 57 (2020) 4, S.285-298 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0952-3987
DOI	10.1080/09523987.2020.1848512
Schlagwörter	Social Networks; Participation; Artificial Intelligence; Ethics; Learning; Technological Literacy; Information Technology; Data Collection; Social Media; Personal Autonomy + Suchen Sie Ihr Suchwort? Social network; Soziales Netzwerk; Teilnahme; Künstliche Intelligenz; Ethik; Lernen; Technisches Wissen; Informationstechnologie; Data capture; Datensammlung; Soziale Medien; Individuelle Autonomie
Abstract	While much has been written about the personal, social, and democratic benefits of networked communities and participatory learning, critics have begun to draw attention to the ubiquitous data collection and computational processes behind mass user platforms. Personal and behavioral data have become valuable material for statistical and machine learning techniques that have the potential to profile, infer, and predict people's needs, values, and behavior. As a response, researchers are calling for data literacies and computational thinking to facilitate people's capacity and volition to make informed actions in their digital world. Yet, efforts and curricula towards a greater understanding of computational mechanisms of new media ecology are sorely missing from K12-education as well as from teacher education. This paper provides an overview of tensions that teachers and educators will face when they attempt to bridge participatory learning with a more robust understanding of machine learning and algorithmic production of social and cultural practices. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01