Abstracts
Résumé
Sous l’effet des développements récents de l’intelligence artificielle (IA), la gouvernance scolaire basée sur les données connaît des mutations profondes sur le plan de sa mise en oeuvre, dont les conséquences sont difficiles à anticiper en détail. C’est notamment le cas pour les systèmes scolaires, comme celui du Québec, qui ont embarqué récemment dans la gouvernance scolaire basée sur les données, et dont les tenants et aboutissants sont en grande partie à venir. D’autres systèmes scolaires, notamment ceux des pays anglo-saxons et de certains pays d’Europe de l’Ouest, sont davantage avancés dans cette voie. Les études qui s’y penchent offrent des prises intéressantes pour, d’une part, mieux comprendre les mutations actuelles de la gouvernance scolaire ainsi que ses enjeux et ses conséquences sur les systèmes scolaires et, d’autre part, orienter les gestionnaires dans leur mise en oeuvre de la gouvernance scolaire basée sur les données, ce qui est opportun dans le cas du système scolaire québécois, puisqu’il en est à ses débuts. Aussi, ce texte a pour objectif de réaliser une synthèse des connaissances sur la gouvernance scolaire basée sur les données à l’heure de l’IA.
Mots-clés :
- gouvernance scolaire,
- données scolaires,
- infrastructure de données,
- intelligence artificielle,
- mise en données
Abstract
As a result of recent developments in AI, data-based school governance is undergoing profound changes in its implementation, the consequences of which are difficult to anticipate in detail. This is particularly the case for school systems such as Quebec's which have been late to embark on data-based school governance and whose ins and outs are largely still to come. Other school systems, notably the Anglo-Saxon countries and some Western European countries, are more advanced along this path. These studies offer interesting insights to better understand current changes in school governance, as well as the issues at stake and their consequences for school systems, and to guide managers in their implementation of data-based school governance, which is particularly timely in the case of the Quebec school system since it is in its infancy. The aim of this paper is to provide a synthesis of what we know about data-based school governance in the age of AI.
Keywords:
- school governance,
- school data,
- datafication,
- data infrastructure,
- artificial intelligence
Resumen
Como resultado de los recientes avances en IA, la gobernanza escolar basada en datos está experimentando profundos cambios en cuanto a su aplicación, cuyas consecuencias son difíciles de anticipar en detalle. Esto es especialmente cierto en el caso de los sistemas escolares, como el de Quebec, que se han embarcado recientemente en la gobernanza escolar basada en datos, y cuyos pros y contras están en gran medida por descubrirse. Otros sistemas escolares, en particular los países anglosajones y algunos países de Europa Occidental, están más avanzados en esta vía. Los estudios que examinan esta cuestión ofrecen perspectivas interesantes para comprender mejor los cambios actuales en la gobernanza escolar, así como las cuestiones en juego y sus consecuencias para los sistemas escolares; y para orientar a los gestores en su aplicación de la gobernanza escolar basada en datos, lo que resulta especialmente oportuno en el caso del sistema escolar de Quebec, que se encuentra en sus inicios. El objetivo de este documento es resumir lo que se sabe sobre la gobernanza escolar basada en datos en la era de la IA.
Palabras clave:
- gobernanza escolar,
- datos escolares,
- datificación,
- infraestructura de datos,
- inteligencia artificial
Resumo
A gestão educacional baseada em dados tem sofrido, devido aos recentes desenvolvimentos da IA, alterações profundas na sua aplicação, cujas consequências são difíceis de antecipar em pormenor. É o caso, em particular, dos sistemas escolares, como o do Quebec, que se lançaram tardiamente na gestão educacional baseada em dados e cujos prós e contras ainda estão, em grande parte, por vir. Outros sistemas escolares, nomeadamente os países anglo-saxónicos e alguns países da Europa Ocidental, estão mais avançados neste caminho. Os estudos que analisam esta questão oferecem pistas interessantes para compreender melhor as mudanças em curso na gestão educacional, bem como as questões em jogo e as suas consequências para os sistemas escolares; e para orientar os gestores na implementação de uma gestão educacional baseada em dados, o que é particularmente oportuno no caso do sistema escolar do Quebec, que tem dado os primeiros passos. O objetivo deste documento é fazer uma síntese do que se sabe sobre a gestão educacional baseada em dados na era da IA.
Palavras chaves:
- gestão educacional,
- dados escolares,
- informatização,
- infra-estruturas de dados,
- inteligência artificial
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Appendices
Bibliographie
- Anagnostopoulos, D., Rutledge, S. et Jacobsen, R. (dir.). (2013). The infrastructure of accountability: Data use and the transformation of American education. Harvard Education Press.
- Baker, T., Smith, L. et Nandra, A. (2019). Educ-AI-tion Rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta.
- Ball, S. J. (2003). The teacher’s soul and the terrors of performativity. Journal of Education Policy, 18(2), 215 228. https://doi.org/10.1080/0268093022000043065
- Ball, S. J. (2009). The governance turn! Journal of Education Policy, 24(5), 537-538. https://doi.org/10.1080/02680930903239904
- Beaucher, V. et Jutras, F. (2007). Étude comparative de la métasynthèse et de la méta-analyse qualitative. Recherches qualitatives, 27(2), 58. https://doi.org/10.7202/1086786ar
- Bowker, G. C., Baker, K., Millerand, F., et Ribes, D. (2010). Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment. Dans J. Hunsinger, L. Klastrup, M. Allen (dir.), International Handbook of Internet Research, 97-117. https://doi.org/10.1007/978-1-4020-9789-8
- Cabinet du ministre de l’Éducation du Québec (2022, 14 mars). Valorisation des données du réseau de l’éducation – L’intelligence numérique en éducation : pour la réussite éducative de nos élèves et un réseau plus efficace. Communiqué de presse. Gouvernement du Québec. https://tinyurl.com/864taz5p
- Clutterbuck, J., Hardy, I. et Creagh, S. (2021). Data Infrastructures as Sites of Preclusion and Omission: The Representation of Students and Schooling. Journal of Education Policy, 38(1), 93 114, Routledge. https://doi.org/10.1080/02680939.2021.1972166
- Cooper, H. M. (1988). Organizing knowledge syntheses: A taxonomy of literature reviews. Knowledge in Society, 1, article 104. https://doi.org/10.1007/BF03177550
- Datnow, A., Park, V. (2018). Opening or closing doors for students? Equity and data use in schools. Journal of Educational Change, 19, 131-152. https://doi.org/10.1007/s10833-018-9323-6
- Desrosières, A. (1993). La politique des grands nombres. Histoire de la raison statistique. La Découverte.
- Espeland, W. N. et Stevens, M. L. (2008). A sociology of quantification. European Journal of Sociology/Archives européennes de sociologie, 49(3), 401-436.
- Forrester, V. V. (2019). School management information systems: Challenges to educational decision-making in the big data era. International Journal on Integrating Technology in Education, 8(1), 1 11. https://doi.org/10.5121/ijite.2019.8101
- Grimshaw, J. (2010, 25 mars). Guide sur la synthèse des connaissances. Instituts de recherche en santé du Canada. https://cihr-irsc.gc.ca/f/41382.html
- Gulson, K. N. et Sellar, S. (2019). Emerging data infrastructures and the new topologies of education policy. Environment and Planning D: Society and Space, 37(2), 350 366. https://doi.org/10.1177/0263775818813144
- 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. https://doi.org/10.1177/1474904116648966
- Hartong, S. et Förschler, A. (2019). Opening the black box of data-based school monitoring: Data infrastructures, flows and practices in state education agencies. Big Data & Society, 6(1). https://doi.org/10.1177/2053951719853311
- Hartong, S. et Piattoeva, N. (2021). Contextualizing the datafication of schooling – a comparative discussion of Germany and Russia. Critical Studies in Education, 62(2), 227 242. https://doi.org/10.1080/17508487.2019.1618887
- Hillman, V. (2022). Bringing in the technological, ethical, educational and social-structural for a new education data governance. Learning, Media and Technology, 48(1), 122 137. https://doi.org/10.1080/17439884.2022.2052313
- Kearney, C. A. et Childs, J. (2023). Translating Sophisticated Data Analytic Strategies Regarding School Attendance and Absenteeism into Targeted Educational Policy. Improving Schools, 26(1), 5 22. https://doi.org/10.1177/13654802231174986
- Knox, J. (2023). (Re)politicising data-driven education: from ethical principles to radical participation. Learning, Media and Technology, 48(2), 200 212. https://doi.org/10.1080/17439884.2022.2158466
- Koopman, C. (2019). How We Became Our Data: A Genealogy of the Informational Person. University of Chicago Press.
- Landri, P. (2021). To resist, or to align? The enactment of data-based school governance in Italy. Educational Assessment, Evaluation and Accountability, 33, 563-580. https://doi.org/10.1007/s11092-021-09367-7
- Lawn, M. (2013). The rise of data in education. Dans M. Lawn (dir.), The Rise of Data in Education Systems: Collection, Visualization and Use (p. 7-25). Symposium.
- Leigh Star, S. et Ruhleder, K. (2001). Chap. 11: Steps toward an Ecology of Infrastructure: Design and Access for Large Information Spaces. Dans J. Yates et J. Van Maanen, Information Technology and Organizational Transformation: History, Rhetoric, and Practice (p. 305-346). SAGE. https://doi.org/10.4135/9781452231266
- Lessard, C. (2006). La « gouvernance » de l’éducation au Canada : tendances et significations. Éducation et Sociétés, 18(2), 181-201.
- Lewis, S. et Hartong, S. (2022). New Shadow Professionals and Infrastructures around the Datafied School: Topological Thinking as an Analytical Device. European Educational Research Journal, 21(6), 946 960, https://doi.org/10.1177/14749041211007496
- Lewis, S. et Holloway, J. (2018). Datafying the « teaching profession »: remaking the professional teacher in the image of data. Cambridge Journal of Education, 49(1), 35 51. https://doi.org/10.1080/0305764X.2018.1441373
- Luckin, R., Holmes, W., Griffiths, M. et Forcier, L. B. (2016, 22 février). Intelligence Unleashed: An argument for AI in Education [Rapport]. UCL Knowledge Lab et Pearson. https://tinyurl.com/4n3cjtnp
- Mandinach, E. B. et Schildkamp, K. (2021). Misconceptions about data-based decision making in education: An exploration of the literature. Studies in Educational Evaluation, 69. https://doi.org/10.1016/j.stueduc.2020.100842
- Maroy, C. (2017). La nouvelle gestion publique de l’école au Québec : vers une gestion de la pédagogie. Sociologie du travail, 59(4). https://doi.org/10.4000/sdt.1353
- Miller, C. C. (2006). From the editors: peer review in the organizational and management sciences: prevalence and effects of reviewer hostility, bias and dissensus. Academy of management journal, 49(3), 425-431.
- Mockler, N. et Stacey, M. (2020). Evidence of teaching practice in an age of accountability: when what can be counted isn’t all that counts. Oxford Review of Education, 47(2), 170 188. https://doi.org/10.1080/03054985.2020.1822794
- Ogien, A. (2013). Désacraliser le chiffre dans l'évaluation du secteur public. Éditions Quae.
- 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
- Pangrazio, L., Selwyn, N. et Cumbo, B. (2022). A patchwork of platforms: mapping data infrastructures in schools. Learning, Media and Technology, 48(1), 65 80. https://doi.org/10.1080/17439884.2022.2035395
- Peruzzo, F., Ball, S. J. et Grimaldi, E. (2022). Peopling the crowded education state: Heterarchical spaces, EdTech markets and new modes of governing during the COVID-19 pandemic. International Journal of Educational Research, 114. https://doi.org/10.1016/j.ijer.2022.102006
- Pickup, A. (2021). Toward a historical ontology of the infopolitics of data-driven decision-making (DDDM) in education. Educational Philosophy and Theory, 54(9), 1476 1487. https://doi.org/10.1080/00131857.2021.1935232
- Porter, T. M. (1996). Trust in numbers: The pursuit of objectivity in science and public life. Princeton University Press.
- Rienties, B., Køhler Simonsen, H. et Herodotou, C. (2020, 16 juillet). Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning analytics: A need for coherence. Frontiers in Education. https://doi.org/10.3389/feduc.2020.00128
- Rosenau, J. (1999). Towards and ontology for global governance. Dans M. Hewson and T. Sinclair (dir.) Approaches to global governance theory (p. 287-303). State University of New York Press.
- Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational Research, 61(3), 257 273. https://doi.org/10.1080/00131881.2019.1625716
- Schildkamp, K., Poortman, C., Luyten, H. et Ebbeler, J. (2016). Factors promoting and hindering data-based decision making in schools. School Effectiveness and School Improvement, 28(2), 242 258. https://doi.org/10.1080/09243453.2016.1256901
- Sellar, S. (2015). Data infrastructure: A review of expanding accountability systems and large-scale assessments in education. Discourse: Studies in the Cultural Politics of Education, 36(5), 765-777.
- Selwyn, N. (2020). ‘Just playing around with Excel and pivot tables’ - the realities of data-driven schooling. Research Papers in Education, 37(1), 95 114. https://doi.org/10.1080/02671522.2020.1812107
- Selwyn, N. (2021). The human labour of school data: exploring the production of digital data in schools. Oxford Review of Education, 47(3), 353 368. https://doi.org/10.1080/03054985.2020.1835628
- Soncin, M. et Cannistrà, M. (2022). Data analytics in education: are schools on the long and winding road? Qualitative Research in Accounting & Management, 19(3), 286 304. https://doi.org/10.1108/QRAM-04-2021-0058
- Stevenson, H. (2017). The “Datafication” of Teaching: Can Teachers Speak Back to the Numbers? Peabody Journal of Education, 92(4), 537 557. https://doi.org/10.1080/0161956X.2017.1349492
- Sun, J., Johnson, B. et Przybylski, R. (2016). Leading with Data: An Increasingly Important Feature of School Leadership. International Studies in Educational Administration (Commonwealth Council for Educational Administration & Managemen (CCEAM)), 44(3), 93 128. https://www.edu.uwo.ca/about/faculty-profiles/katina-pollock/_docs/isea-2016-44-3.pdf
- Thompson, G. et Sellar, S. (2018). Datafication, testing events and the outside of thought. Learning, Media and Technology, 43(2), 139 151. https://doi.org/10.1080/17439884.2018.1444637
- West, J. (2017). Data, democracy and school accountability: Controversy over school evaluation in the case of the DeVasco High School. Big Data & Society, 4(1), 1-16. https://doi.org/10.1177/2053951717702408
- Williamson, B. et Piattoeva, N. (2018). Objectivity as Standardization in Data-Scientific Education Policy, Technology and Governance. Learning, Media and Technology, 44(1), 64 76. https://doi.org/10.1080/17439884.2018.1556215
- Williamson, B., et Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235. https://doi.org/10.1080/17439884.2020.1798995
- Young, C., McNamara, G., Brown, M. et O’Hara, J. (2018). Adopting and adapting: school leaders in the age of data-informed decision making. Educational Assessment, Evaluation and Accountability, 30(2), 133 158. https://doi.org/10.1007/s11092-018-9278-4
- Zeide, E. (2017). The Structural Consequences of Big Data-Driven Education. Big Data, 5(2), 164 172. https://doi.org/10.1089/big.2016.0061
10.7202/1086786ar