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Research Article

Automation, agencies and aesthetics: the politics of data visualizations in configuring teachers’ expertise

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References

  • Akrich, M. (1992). The de-scription of technical objects. In W. Bijker & J. Law (Eds.), Shaping technology / building society: Studies in sociotechnical change (pp. 205–224). Boston: MIT Press.
  • Ambrosio, C. (2015). Objectivity and representative practices across artistic and scientific visualization. In A. Carusi, A. S. Hoel, T. Webmoor, & S. Woolgar (Eds.), Visualization in the age of computerization (pp. 118–144). Milton Park: Routledge.
  • Amoore, L. (2009). Lines of sight: On the visualization of unknown futures. Citizenship Studies, 13(1), 17–30. doi:10.1080/13621020802586628
  • Ball, S. J. (2015). Education, governance and the tyranny of numbers. Journal of Education Policy, 30(3), 299–301. doi:10.1080/02680939.2015.1013271
  • Biesta, G. (2009). Good education in an age of measurement: On the need to reconnect with the question of purpose in education. Educational Assessment, Evaluation and Accountability, 21(1), 33–46. doi:10.1007/s11092-008-9064-9
  • Bowker, G., & Star, S. L. (2000). Sorting things out: Classification and its consequences. Cambridge, MA: MIT Press.
  • Brix, S. (2018). Matematikfessor: Vores undervisning kunne lærere selv have klaret, www.folkeskolen.dk. Retrieved May 10, 2023, from https://www.folkeskolen.dk/karakterer-laeremidler-matematik/matematikfessor-vores-undervisning-kunne-laerere-selv-have-klaret/814872
  • Coopmans, C. (2014). Visual analytics as artful revelation. In C. Coopmans, J. Vertesi, M. Lynch, & S. Woolgar (Eds.), Representation in scientific practice revisited (pp. 37–59). MIT Press. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151377.
  • Decuypere, M. (2019). Researching educational apps: Ecologies, technologies, subjectivities and learning regimes. Learning, Media and Technology, 44(4), 414–429. doi:10.1080/17439884.2019.1667824
  • Decuypere, M., & Landri, P. (2021). Governing by visual shapes: University rankings, digital education platforms and cosmologies of higher education. Critical Studies in Education, 62(1), 17–33. doi:10.1080/17508487.2020.1720760
  • Douglas-Jones, R., Walford, A., & Seaver, N. (2021). Introduction: Towards an anthropology of data. Journal of the Royal Anthropological Institute, 27(S1), 9–25. doi:10.1111/1467-9655.13477
  • Edwards, R. (2015). Software and the hidden curriculum in digital education. Pedagogy, Culture & Society, 23(2), 265–279. doi:10.1080/14681366.2014.977809
  • Edwards, R., & Carmichael, P. (2012). Secret codes: The hidden curriculum of semantic web technologies. Discourse: Studies in the Cultural Politics of Education, 33(4), 575–590. doi:10.1080/01596306.2012.692963
  • Hansen, T. I. (2015). Læremidler og læremiddelforskning i Danmark [Translate]. Learning Tech, 1, 7–35.
  • Hartong, S. (2016). Between assessments, digital technologies and big data: The growing influence of ‘hidden’ data mediators in education. European Educational Research Journal, 15(5), 523–536. doi:10.1177/1474904116648966
  • Hullman, J., & Diakopoulos, N. (2011). Visualization rhetoric: Framing effects in narrative visualization. IEEE Transactions on Visualization and Computer Graphics, 17(12), 2231–2240. doi:10.1109/TVCG.2011.255
  • Ideland, M. (2021). Google and the end of the teacher? How a figuration of the teacher is produced through an ed-tech discourse. Learning, Media and Technology, 46(1), 33–46. doi:10.1080/17439884.2020.1809452
  • Kennedy, H., Hill, R. L., Aiello, G., & Allen, W. (2016). The work that visualisation conventions do. Information, Communication & Society, 19(6), 715–735. doi:10.1080/1369118X.2016.1153126
  • Lunde, I. M. (2023). From generic skills to behaviour monitoring: Exploring materialisations of the key skills framework in public–private relationships. Journal of Educational Administration & History, 56(1), 39–53. doi:10.1080/00220620.2023.2259814
  • Piattoeva, N. (2015). Elastic numbers: National examinations data as a technology of government. Journal of Education Policy, 30(3), 316–334. doi:10.1080/02680939.2014.937830
  • Ratner, H. (2019). Europeanizing the Danish School through national testing: Standardized assessment scales and the anticipation of risky populations. Science, Technology, & Human Values, 0162243919835031. doi:10.1177/0162243919835031
  • Ratner, H., Andersen, B. L., & Madsen, S. R. (2019). Configuring the teacher as data user: Public-private sector mediations of national test data. Learning, Media and Technology, 44(1), 22–35. doi:10.1080/17439884.2018.1556218
  • Ratner, H. (forthcoming). Let’s make data meaningful for teachers’: Configuring the teacher through data visualizations. In V. Galis & V. Vlassis (Eds.), Welfare after digitalization (pp. 1–14). Cheltenham, GB: Edward Elgar Publishing.
  • Ratner, H., & Ruppert, E. (2019). Producing and projecting data: Aesthetic practices of government data portals. Big Data & Society, 6(2), 1–16. doi:10.1177/2053951719853316
  • Roberts-Mahoney, H., Means, A. J., & Garrison, M. J. (2016). Netflixing human capital development: Personalized learning technology and the corporatization of K-12 education. Journal of Education Policy, 31(4), 405–420. doi:10.1080/02680939.2015.1132774
  • Ruckenstein, M. (2023). The feel of algorithms. Oakland: University of California Press.
  • Saietz, D. (2012). Matematikken går på nettet. Politiken: April, 3, 6.
  • Selwyn, N. (2019). Should robots replace teachers: AI and the future of education. Cambridge: Polity Press.
  • Selwyn, N., Pangrazio, L., & Cumbo, B. (2022). Knowing the (datafied) Student: The production of the student subject through school data. British Journal of Educational Studies, 70(3), 345–361. doi:10.1080/00071005.2021.1925085
  • Snyder, B. R. (1971). The hidden curriculum. New York: Knopf.
  • Snyder, B. R. (Ed.). (2002). Silicon literacies. Milton Park: Routledge.
  • Steele, J., & Iliinsky, N. (2011). Designing data visualizations. O’Reilly Media. http://shop.oreilly.com/product/0636920022060.do
  • Suchman, L. (2007). Human-machine reconfigurations: Plans and situated actions (2nd ed.). Cambridge: Cambridge University Press.
  • Tannert, M., & Berthelsen, U. D. (2020). Digitale læremidler i danskfaget. Aarhus: Aarhus Universitetsforlag.
  • Tkacz, N. (2022). Being with data: The dashboarding of everyday life. Cambridge: Polity Press.
  • Williamson, B. (2015). Governing software: Networks, databases and algorithmic power in the digital governance of public education. Learning, Media and Technology, 40(1), 83–105. doi:10.1080/17439884.2014.924527
  • Williamson, B. (2016). Digital education governance: Data visualization, predictive analytics, and ‘real-time’ policy instruments. Journal of Education Policy, 31(2), 123–141. doi:10.1080/02680939.2015.1035758
  • Woolgar, S. (1990). Configuring the user: The case of usability trials. The Sociological Review, S1(38), 58–99.
  • Zuboff, S. (1988). In the age of the smart machine: The future of work and power. Portsmouth: Heinemann Professional Publishing.

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