Committing to School Development
Social and Material Entanglements
Keywords:education policy, actor-network theory, school development, school data, technology infrastructures
School leaders are faced with an unprecedented growth in school data accompanied by expectations that they use this data to improve their institutions. Current technologies enable complex processes of unifying and analysing data in personalised and accessible formats. This study investigates a tool developed by the Norwegian Directorate for Education and Training called the Point of View analysis (PoV). The PoV combines outcome-based data on achievement, data from staff surveys about current practices, and the staff’s reflections. A central tenet in Actor-Network Theory (ANT) is that material tools do not just regulate the activities of humans, but have their own agency and form relationships with their human counterparts. This analysis positions the PoV as an actor that may transform, distort, or modify meaning or elements. A content analysis of the PoV instrument is conducted, and interviews with three school principals who have used the tool are analysed. An ANT-inspired analytical approach is used to demonstrate how the PoV tool connects local practices with national policies and discourses in emerging and fluctuating networks. This analysis revealed that powerful policy discourses may be compromised by their entanglement with local and regional concerns.
Ananiadou, K., & Claro, M. (2009). 21st century skills and competences for new millennium learners in OECD countries. OECD Education Working Papers, no 41. OECD Publishing. https://doi.org/10.1787/218525261154
Ball, S. J. (1997). Policy sociology and critical social research: A personal review of recent education policy and policy research. British Educational Research Journal, 23(3), 257–274. https://doi.org/10.1080/0141192970230302
Bowers, J. (1992). The politics of formalism. In M. Lea (Ed.), Contexts of computer-mediated communication (pp. 232‒262). Hemel Hempstead: Harvester Wheatsheaf.
Callon, M. (1991). Techno-economic networks and irreversibility. In J. Law (Ed.), A sociology of monsters: Essays on power, technology and domination (pp. 132‒161). London: Routledge
Callon, M. (2007). Some elements of a sociology of translation. In K. Asdal, B. Brenna, & I. Moser (Eds.), Technoscience. The Politics of Interventions, (pp. 57‒78). Oslo: Unipub AS.
Coburn, C. E., Toure', J., & Yamashita, M. (2009). Evidence, interpretation, and persuasion: Instructional decision making at the district central office. The Teachers College Record, 111(4), 1115‒1161.
Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118(2), 99‒111. https://doi.org/10.1086/663272
Edwards, R. (2014). Software and the hidden curriculum in digital education. Pedagogy, Culture & Society, 23(2), 265–279. https://doi.org/10.1080/14681366.2014.977809
Elstad, E., & Sivesind, K. (2010). PISA: sannheten om skolen? Oslo: Universitetsforlaget.
Fenwick, T., & Edwards, R. (2010). Actor-Network theory in education. New York: Routledge. https://doi.org/10.4324/9780203849088
Fenwick, T., Edwards, R., & Sawchuk, P. (2011). Emerging approaches to educational research: Tracing the socio-material. New York: Routledge.
Gherardi, S. (2001). From organizational learning to practice-based knowing. Human Relations, 54(1), 131‒139. https://doi.org/10.1177/0018726701541016
Gorur, R. (2011). Policy as assemblage. European Educational Research Journal, 10(4), 611–622. https://doi.org/10.2304/eerj.2011.10.4.611
Horn, I. S., & Little, J. W. (2010). Attending to problems of practice: Routines and resources for professional learning in teachers’ workplace interactions. American Educational Research Journal, 47(1), 181–217. https://doi.org/10.3102/0002831209345158
Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. London: Sage.
Latour, B. (1999). Pandora's hope: Essays on the realities of science studies. Cambridge, MA: Harvard University Press.
Latour, B. (2005). Reassembling the social: An introduction to Actor-Network Theory (Vol. 1). Oxford: Oxford University Press.
Luck, J. (2008). Lost in translations: A socio-technical study of interactive videoconferencing at an Australian University. (Unpublished doctoral dissertation). Central Queensland University.
Moos, L. (2017). Neo-liberal governance leads education and educational leadership astray. In M. Uljens & R. Ylimaki (Eds.), Bridging educational leadership, curriculum theory and didaktik. Non-affirmative theory of education, (pp. 151–180). Springer Open, retrieved February 27, 2018 from https://www.researchgate.net/profile/Michael_Uljens2/publication/320274085_Uljens_M_Ylimaki_R_2017_Eds_Bridging_Educational_Leadership_Curriculum_Theory_and_Didaktik_Dordrecht_Springer/links/59da68790f7e9b12b36d882b/Uljens-M-Ylimaki-R-2017-Eds-Bridging-Educational-Leadership-Curriculum-Theory-and-Didaktik-Dordrecht-Springer.pdf
Mähring, M., Holmström, J., Keil, M., & Montealegre, R. (2004). Trojan actor-networks and swift translation: Bringing actor-network theory to IT project escalation studies. Information Technology & People, 17(2), 210–238. https://doi.org/10.1108/09593840410542510
Møller, J., & Skedsmo, G. (2013). Modernising education: New public management reform in the Norwegian education system. Journal of Educational Administration and History, 45(4), 336‒353. https://doi.org/10.1080/00220620.2013.822353
Ozga, J. (2009). Governing education through data in England: From regulation to self-evaluation. Journal of Education Policy, 24(2), 149‒162. https://doi.org/10.1080/02680930902733121
Perrotta, C., & Williamson, B. (2018). The social life of Learning Analytics: cluster analysis and the ‘performance’ of algorithmic education. Learning, Media and Technology, 43(1), 3–16. https://doi.org/10.1080/17439884.2016.1182927
Prøitz, T. S., Mausethagen, S., & Skedsmo, G. (2017a). Investigative modes in research on data use in education. Nordic Journal of Studies in Educational Policy, 3(1), 42–55. https://doi.org/10.1080/20020317.2017.1326280
Prøitz, T. S., Mausethagen, S., & Skedsmo, G. (2017b). Data use in education: alluring attributes and productive processes. Nordic Journal of Studies in Educational Policy, 3(1), 1–5. https://doi.org/10.1080/20020317.2017.1328873
Røvik, K. A., & Pettersen, H. M. (2014). Masterideer [Masterideas]. In K. A. Røvik, T. V. Eilertsen, & E. M. Furu (Eds.), Reformideer i norsk skole. Spredning, oversettelse og implementering [Reform ideas in Norwegian schools. Dissemination, translation and implementation] (pp. 54‒86). Oslo: Cappelen Damm Akademisk.
Selwyn, N. (2015). Data entry: Toward the critical study of digital data and education. Learning, Media and Technology, 40(1), 64‒82. https://doi.org/10.1080/17439884.2014.921628
Sherer, J. Z., & Spillane, J. P. (2011). Constancy and change in work practice in schools: The role of organizational routines. Teachers College Record, 113(3), 611‒657.
Utdanningsdirektoratet (n.d). Skoleporten [The School Portal]. Retrieved December 10, 2017 from https://skoleporten.udir.no/omskoleporten/english?artikkelid=37
Utdanningsdirektoratet (2016). Hva er ståstedsanalysen for skoler? [What is the Point-of-view analysis for schools?]. Retrieved December 10, 2017 from https://www.udir.no/kvalitet-og-kompetanse/stastedsanalyse/om-stastedaanalysen-for-skoler/
Utdanningsdirektoratet (2017). Brukermanual [User manual]. Retrieved August 20, 2017 from https://www.udir.no/globalassets/filer/organisasjon-kompetanse/ressurser/manual_januar_2017_sa.pdf
Waltz, S. B. (2006). Nonhumans unbound: Actor-Network theory and the reconsideration of ‘things’ in educational foundations. The Journal of Educational Foundations, 20(3/4), 51.
Williamson, B. (2015a). Digital education governance: Data visualization, predictive analytics, and ‘real-time’ policy instruments. Journal of Education Policy (ahead-of-print), 1‒19. https://doi.org/10.1080/02680939.2015.1035758
Williamson, B. (2015b). Governing software: Networks, databases and algorithmic power in the digital governance of public education. Learning, Media and Technology, 40(1), 83‒105. https://doi.org/10.1080/17439884.2014.924527
Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice. London: Sage.
Wæraas, A., & Nielsen, J. A. (2016). Translation theory ‘translated’: Three perspectives on translation in organizational research. International journal of management reviews, 18(3), 236–270. https://doi.org/10.1111/ijmr.12092
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