Abstract
Education technologies have a growing capacity to control and influence students and teachers. However, policy and industry goals with these technologies are evolving into ambitions that go beyond improving learning outcomes and facilitating teaching. Policy and industry see data-generating EdTech as the means to a larger socio-technical ‘solution stack’ that can serve the neoliberal project. This position paper looks at the complex ‘apparatus’ emerging through the use of data-intensive algorithmic systems, which are often imposed by policy and promoted through industry’s marketing rhetoric. This apparatus is fuelled by data and claiming pedagogic authority in schools. It is linked to industry workforce demands and influence over how education should meet them. We describe this apparatus and define its properties through substantial desk research of public policies, white papers, presentations, and other relevant documentation. We argue that as schools are roped into serving this apparatus, the teaching profession is compromised. In it, teachers are steadily downgraded to ‘line operators’ of software and data collection. Based on Gert Biesta’s ‘gift of teaching’ as a ‘gift of truth giving’ that defines teachers’ role in the classroom, we call for their conscience to resist this apparatus, which can only harm learners and their futures.
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Allen, D. (2021). Collaborating to support the market for AI in education. DXtera Institute blog, 24 May. https://dxtera.org/blog/collaborating-to-support-the-market-for-ai-in-education/. Accessed 10 April 2022.
American Workforce Policy Advisory Board (AWPAB). (2019). Interoperable learning records [white paper]. Data Transparency Working Group. https://credentialengine.org/2019/09/18/credential-engine-provides-key-contributions-to-white-house-report-on-interoperable-learning-records/. Accessed 10 April 2022.
Azevedo, M. A. (2021). Panorama raises $60M in General Atlantic-led Series C to help schools better understand students. TechCrunch, 2 September. https://techcrunch.com/2021/09/02/panorama-raises-60m-in-general_atlantic-led-series-c/. Accessed 10 April 2022.
Berman, E. P. (2022). Thinking like an economist: How efficiency replaced equality in US public policy. Princeton, NJ: Princeton University Press.
Biesta, G. (2007). Why what works’ won’t work: evidence-based practice and the democratic deficit in educational research. Educational Theory, 57(1), 1–22. https://doi.org/10.1111/j.1741-5446.2006.00241.x.
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. https://doi.org/10.1007/s11092-008-9064-9.
Biesta, G. (2013). Receiving the gift of teaching: From 'learning from' to 'being taught by.' Studies in Philosophy and Education, 32(5), 449–461. https://doi.org/10.1007/s11217-012-9312-9.
Bourdieu, P. (1998). Acts of resistance: against the myths of our time. Cambridge: Polity Press.
Bracco, K., Carter, E., & Booth, L. (2020). California cradle-to-career data system assessment of operational tools. https://c2c.ca.gov/. Accessed 10 April 2022.
Brady, M. (2012). Eight problems with the common core standards. The Washington Post, 21 August. https://www.washingtonpost.com/blogs/answer-sheet/post/eight-problems-with-common-core-standards/2012/08/21/821b300a-e4e7-11e1-8f62-58260e3940a0_blog.html. Accessed 20 April 2022.
Brass, J., & Lynch, T. (2020). Personalised learning: a history of the present. Journal of Curriculum Theorising, 35(2).
Bryant, J., Child, F., Dorn, E., & Hall, S. (2020). New global data reveal education technology’s impact on learning. McKinsey & Company, 12 June. https://www.mckinsey.com/industries/education/our-insights/new-global-data-reveal-education-technologys-impact-on-learning. Accessed 22 April 2022.
California’s Cradle-to-Career Data System Act. (2019). Cradle-to-career data system act [1–850–10874], Ch.51, Sec.14. https://statedata.wested.org/wp-content/uploads/2022/05/California-Cradle-to-Career-Data-System-Act.pdf. Accessed 4 February 2023.
Common Education Data Standard. (2020). The CEDS initiative. https://ceds.ed.gov. Accessed 1 February 2022.
Common Education Data Standards. (2021). CEDS data warehouse: Expansion Project. https://ceds.grads360.org/#communities/ceds-osc/workgroups/ceds-dw-expansion. Accessed 1 February 2022.
Common Education Data Standards. (n.d.). Related Efforts. https://ceds.ed.gov/relatedInitiatives.aspx. Accessed 1 February 2022.
Couldry, N. (2010). Why voice matters: culture and politics after neoliberalism. London: SAGE Publications.
Cox, J. (2022). A tool that monitors how long kids are in the bathroom is now in 1,000 American schools. Vice, 18 August. https://www.vice.com/en/article/dy73n7/ehallpass-1000-thousand-schools-monitor-bathroom. Accessed 7 October 2023.
Credential Engine. (2018). Bringing transparency to the marketplace with the Credential Transparency Description Language (CTDL) and JSON-LD. Washington, DC: Credential Engine. https://credentialengine.org/wp-content/uploads/2018/11/Linked_Data_Fact_Sheet.pdf. Accessed 4 February 2022.
Credential Engine. (2021). Credential transparency & P-20W data systems: Aligning education and employment information to meet state talent goals. Washington, DC: Credential Engine. http://credentialengine.org/wp-content/uploads/2021/01/Policy-Brief-1.pdf. Accessed 12 February 2022.
Cuban, L. (2004). The blackboard and the bottom line. Cambridge, MA: Harvard University Press.
Cuban, L. (2017). Larry Cuban on school reform and classroom practice. https://larrycuban.wordpress.com/2017/03/22/a-continuum-on-personalized-learning-first-draft/. Accessed 2 November 2023.
Cunningham, A. F., & Milam, J. (2005). Feasibility of a student unit record system within the integrated postsecondary education data system (NCES 2005–160). U.S. Department of Education, National Centre for Education Statistics. Washington, DC: U.S. Government Printing Office. https://files.eric.ed.gov/fulltext/ED492622.pdf. Accessed 20 April 2022.
Duncan, A. G., & Tyszko, J. A. (2017). New partnership explores data sharing between students, education, business. U.S. Chamber of Commerce Foundation, 3 October. https://www.uschamberfoundation.org/blog/post/new-partnership-explores-data-sharing-between-students-education-business. Accessed 20 April 2022.
DXtera Institute. (n.d.a). EdSAFE AI Alliance: Catalysed and managed by DXtera Institute. https://dxtera.org/edsafeai/. Accessed 1 October 2023.
DXtera Institute. (n.d.b). FAQs. DXTera Institute. https://dxtera.org/faq/. Accessed 1 October 2023.
Ernst & Young. (2022). Approaching the next frontier: K-12 education technology in the wake of COVID-19. Ernst & Young. https://assets.ey.com/content/dam/ey-sites/ey-com/en_us/topics/education/ey-parthenon-k-12-education-tech-report.pdf. Accessed 1 October 2023.
Escueta, M., & Holloway, S. (2019). Investment in education technology across the globe: Where profit meets purpose. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3489543. Accessed 1 October 2023.
Fein, P. (2017). USA funds becomes strada education. Inside Higher Ed, 7 March. https://www.insidehighered.com/quicktakes/2017/03/07/usa-funds-becomes-strada-education. Accessed 1 October 2023.
Fullan, M., Quinn, J., Drummy, M., & Gardner, M. (2020). Education Re-imagined: The future of learning. A collaborative position paper between new pedagogies for deep learning and microsoft education. Microsoft Education. https://edudownloads.azureedge.net/msdownloads/Microsoft-EducationReimagined-Paper.pdf. Accessed 1 April 2022.
Geismer, L. (2022). Left behind: The democrats failed attempt to solve inequality. New York: Public Affairs.
Giroux, H., & McLaren, P. (Eds.). (1989). Critical pedagogy, the state, and cultural struggle. New York: State University of New York Press.
Hall, R. (2019). On autonomy and the technical abolition of academic labour. In M. A. Peters, P. Jandrić, & A. J. Means (Eds.), Education and Technological Unemployment. (pp. 45–51). New York: Springer. https://doi.org/10.1007/978-981-13-6225-5_4.
Hillman, V. (2022). EdTech procurement matters: it needs a coherent solution, clear governance, and market standards. Social Policy Working Paper 02–22, London: LSE Department of Social Policy. https://www.lse.ac.uk/social-policy/Assets/Documents/PDF/working-paper-series/02-22-Hillman.pdf. Accessed 10 November 2022.
Hillman, V., & Bryant, J. (2022). Families’ perceptions of corporate influence in career and technical education through data extraction. Learning, Media and Technology, 48(3), 401–414. https://doi.org/10.1080/17439884.2022.2059765.
Hillman, V., & Esquivel, M. (2022). How surveillance capitalism is spreading to schools. The Progressive, 11 June. https://progressive.org/public-schools-advocate/surveillance-capitalism-spreading-to-schools-hillman-esquivel-220611/. Accessed 10 April 2023.
InnovateEDU. (2021). Who we are. https://www.innovateedunyc.org/. Accessed 10 February 2023.
Internet of Education Network. (n.d.). Internet of Education community & vision: Internet of Education Summary. https://app.internetofeducation.org/s/tCvfBJoK9iXoZdDN5-d-0-d-4-d-1/agora-city-d-0-d-4-d-1/uL5ndSxnReyC3zSoG. Accessed 26 January 2023.
Johnes, J., Portela, M., & Thanassoulis, E. (2017). Efficiency in education, Journal of the Operational Research Society, 68(4), 331–338. https://doi.org/10.1057/s41274-016-0109-z.
Kerssens, N., & Van Dijck, J. (2022). Governed by edtech? Valuing pedagogical autonomy in a platform society. Harvard Educational Review, 92(2), 284–303. https://doi.org/10.17763/1943-5045-92.2.284.
Kim, J. (2019). U.S. chamber of commerce foundation joins PESC. PESC Multiple Stakeholders. One Vision, 7 March. https://nebula.wsimg.com/231ef5f0795048a6f9b6067a00c95f0e?AccessKeyId=4CF7FAE11697F99C9E6B&disposition=0&alloworigin=1. Accessed 28 April 2022.
Learning Economy Foundation. (2020). The internet of education Ed 3.0 Network: A case statement and blueprint. https://assets.website-files.com/5b81d3232b7a398665b4123f/5e1789d70f193a6d4a8c3f24_Learning%20Economy%20Case%20Statement%201-07-2020.pdf. Accessed 10 April 2022.
Mazzucato, M., & Collington, R. (2023). The big con: How the consulting industry weakens our businesses, infantilizes our governments and warps our economies. London, UK: Penguin Press.
Means, A. (2018). Learning to save the future: Rethinking education and work in an era of digital capitalism. New York: Routledge. https://doi.org/10.4324/9781315450209.
National Forum on Education Statistics. (2021). Forum Guide to Strategies for Education Data Collection and Reporting (NFES 2021013). US Department of Education. Washington, DC: National Centre for Education Statistics.
Navient. (n.d.). Our story: our expertise spans five decades. https://navient.com/about/our-story/. Accessed 10 April 2022.
Papert, S. (1987). Information technology and education: computer criticism vs. technocentric thinking. Educational Researcher, 16(1), 22–30. https://doi.org/10.3102/0013189X016001022.
Peters, M., Jandrić, P., & Means, A. (Eds.). (2019). Education and Technological Unemployment. New York: Springer. https://doi.org/10.1007/978-981-13-6225-5.
Picciano, A. G., & Spring, J. H. (2013). The great American education industrial complex. New York: Routledge. https://doi.org/10.4324/9780203120613.
Postsecondary electronic standards (PESC). (n.d.) About us. https://www.pesc.org/about-pesc-1.html. Accessed 2 November 2023.
Reynolds, S. (2022). How the rapid adoption of EdTech is changing K-12 education. EY, 1 September. https://www.ey.com/en_us/education/strategy-consulting/the-rapid-adoption-of-EdTech-is-changing-k-12. Accessed 10 April 2023.
Sanghvi, S., & Westhoff, M. (2022). Five trends to watch in the EdTech industry. McKinsey & Company, 14 November. https://www.mckinsey.com/industries/education/our-insights/five-trends-to-watch-in-the-EdTech-industry. Accessed 10 April 2023.
Selwyn, N., Hillman, T., Rensfeldt, A. B., & Perotta, C. (2021). Digital technologies and the automation of education: Key questions and concerns. Postdigital Science and Education. https://doi.org/10.1007/s42438-021-00263-3.
State Training and Education Coordinating Board. (2020). Talent and prosperity for all: the strategic plan for unlocking Washington’s workforce potential. https://www.wtb.wa.gov/wp-content/uploads/2020/03/TAP-Update-2020-030420.pdf. Accessed 10 April 2022.
Strada Education Network. (n.d.). Research and Insights. https://stradaeducation.org/research/. Accessed 10 February 2023.
Strada Education Network. (2017). Emsi joins DXTera institute consortium to advance ed tech integration. Strada Education Network, 2 April. https://stradaeducation.org/press-release/emsi-joins-dxtera-institute-consortium-to-advance-ed-tech-integration/. Accessed 10 February 2023.
Strauss, V. (2018). What and who are fuelling the movement to privatize public education and why we should care. The Washington Post, 30 May. https://www.washingtonpost.com/news/answer-sheet/wp/2018/05/30/what-and-who-is-fueling-the-movement-to-privatize-public-education-and-why-you-should-care/. Accessed 10 February 2023.
T3 Innovation Network. (2022a). T3 data and technology standards network. T3 Data Standards Workgroup. https://docs.google.com/document/d/1MLvrYMr47jNgJJrvxqU8lOhzgvT0DAktjkPOpZ42FKc/edit. Accessed 10 February 2023.
T3 Innovation Network. (2022b). Jobs and Workforce Data Network: SBHA executive summary deck: of the skills- based hiring and advancement project report. T3 Innovation Network, June 29. https://docs.google.com/presentation/d/1kYvEoW6-KCEY3QSF2o9cLwBz8GhiOEdcmtR8Wz6i2ls/edit#slide=id.g137dd3a8e4a_2_28. Accessed 10 February 2023.
T3 Innovation Network. (n.d.). Modernising the data and technology that power the talent marketplace. https://www.t3networkhub.org/. Accessed 10 February 2023.
The Washington State Board for Community and Technical Colleges. (2019). Perkins V. overview of the new law and the state planning process. https://cte.ed.gov/legislation/perkins-v. Accessed 10 February 2023.
Tyszko, J. A., Sheets, R. G., & Fuller, J. B. (2014). Managing the talent pipeline: A new approach to closing the skills gap. U.S Chamber of Commerce Foundation. https://www.uschamberfoundation.org/sites/default/files/Managing%20the%20Talent%20Pipeline.pdf. Accessed 10 February 2023.
U.S. Chamber of Commerce Foundation (USCCF). (2014). Managing the talent pipeline: a new approach to closing the skills gap. U.S. Chamber of Commerce Foundation. https://www.uschamberfoundation.org/sites/default/files/Managing%20the%20Talent%20Pipeline.pdf. Accessed 10 February 2023.
US Chamber of Commerce Foundation. (2022). T3 jobs and workforce data network: SBHA executive summary deck – of the skills-based hiring and advancement project report. https://docs.google.com/presentation/d/1kYvEoW6-KCEY3QSF2o9cLwBz8GhiOEdcmtR8Wz6i2ls/edit#slide=id.p1. Accessed 2 November 2023.
U.S. Government Accountability Office (GAO). (2016). Workforce innovation and opportunity Act: Information on planned changes to state performance reporting and related challenges. Report GAO-16–287. https://www.gao.gov/products/gao-16-287. Accessed 10 May 2022.
U.S. National Commission on Excellence in Education. (1983). A nation at risk: the imperative for educational reform: a report to the Nation and the Secretary of Education. The U.S. Department of Education. Washington, DC: Superintendent of Documents, U.S. Government Printing Office distributor. https://edreform.com/wp-content/uploads/2013/02/A_Nation_At_Risk_1983.pdf. Accessed 10 May 2022.
UNICEF. (n.d.). UNICEF working with PWC to boost youth skills worldwide. https://www.unicef.org.uk/corporate-partners/pwc/. Accessed 10 May 2023.
USCCF. (2016). Career readiness: a business-led approach for supporting K-12 schools. U.S. Chamber of Commerce Foundation. https://www.uschamberfoundation.org/event/career-readiness-business-led-approach-supporting-k-12-schools. Accessed 10 May 2023.
USCCF. (2021). Talent pipeline management academy curriculum. U.S. Chamber of Commerce Foundation. https://www.uschamberfoundation.org/sites/default/files/TPM-4.0_Curriculum_FINALTRUE.pdf. Accessed 10 May 2023.
Williamson, B. (2015). Smarter learning software: Education and the big data imaginary. Big Data—Social Data, 10 December University of Warwick Conference, 10.12.2015-10.12.2015. https://www.eventbrite.co.uk/e/big-data-socialdata-tickets-18990130993
Williamson, B. (2022). Big EdTech. Learning, Media and Technology, 47(2), 157–162. https://doi.org/10.1080/17439884.2022.2063888.
Yu, J., & Couldry, N. (2020). Education as a domain of natural data extraction: Analysing corporate discourse about educational tracking. Information, Communication & Society. 25(1), 127–144. https://doi.org/10.1080/1369118X.2020.1764604.
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Hillman, V., Esquivel, M. The ‘Solution Stack’ of a Neoliberal Inferno Apparatus: A Call for Teacher Conscience. Postdigit Sci Educ 6, 516–536 (2024). https://doi.org/10.1007/s42438-023-00442-4
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DOI: https://doi.org/10.1007/s42438-023-00442-4