The social life of data clusters: the potential of sociomaterial analysis in the critical study of educational technology

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Abstract

This paper draws on Actor-Network Theory to argue that methods used for the classification and measurement of online education are not neutral and objective but are involved in the creation of the educational realities they claim to measure. The paper examines Cluster Analysis (CA) as a ‘performative device’ that, to a significant extent, creates the educational entities it claims to objectively and neutrally represent through the emerging body of knowledge of Learning Analytics (LA). In the conclusion, the paper suggests that those concerned with social justice in educational technology need not limit themselves to denouncing structural inequalities and ideological conflicts. At the opposite end of the ‘critical spectrum’ there is the opportunity to analyse in a more descriptive fashion how hegemonic discourses in education are legitimated through techniques and devices.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Networked Learning 2016
EditorsS. Cranmer, N.B. Dohn, M. de Laat, T. Ryberg, J.A. Sime
Place of PublicationLancaster UK
PublisherInternational Conference on Network Learning
Pages32-37
Number of pages6
ISBN (Print)9781862203242
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Networked Learning 2016 - Lancaster, United Kingdom
Duration: 9 May 201611 May 2016
Conference number: 10th
http://www.networkedlearningconference.org.uk/past/nlc2016/index.htm

Conference

ConferenceInternational Conference on Networked Learning 2016
CountryUnited Kingdom
CityLancaster
Period9/05/1611/05/16
Internet address

Cite this

Perrotta, C. (2016). The social life of data clusters: the potential of sociomaterial analysis in the critical study of educational technology. In S. Cranmer, N. B. Dohn, M. de Laat, T. Ryberg, & J. A. Sime (Eds.), Proceedings of the 10th International Conference on Networked Learning 2016 (pp. 32-37). International Conference on Network Learning. https://www.lancaster.ac.uk/fss/organisations/netlc/abstracts/pdf/S2_Paper2.pdf