Abstract
“The only constant in life is change” (Heraclitus) and so it is with education. Children change due to maturation, culture, home and teaching. In addition, the education systems within which children find themselves also change; the systems evolve and they alter more rapidly the lower they are in the nested hierarchical structure of education. We show that the greatest effective innovation in education happens within classrooms between teachers and pupils and, as we aggregate up to the school level, the district level and the country level the innovations have barely detectable impacts on pupils’ progress. In other words, there is very little evidence that national policies have impacted on attainment levels at the country level. Further, randomised controlled trials lose their effectiveness as they are scaled up. Nevertheless, we, as researchers, have made major advances, but those have been methodological rather than substantive. We have further failed to theorise the educational system well enough to predict the impact of interventions. As a result, we live in a kind of education smog where monitoring data and advice from colleagues in similar situations are the safest option. We finally set out what is needed now from policy-makers and researchers to enhance education.
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References
Aloisi, C., & Tymms, P. (2017). PISA trends, social changes, and education reforms. Educational Research and Evaluation, 23(5–6), 180–220.
Barber, M. (2000). Large scale reform is possible. Education Week, 15 November.
Bauer, P., Thorpe, A., & Brunet, G. (2015). The quiet revolution of numerical weather prediction. Nature, 525(7567), 47–55.
Bergeron, P. J., & Rivard, L. (2017). How to engage in pseudoscience with real data: A criticism of John Hattie’s arguments in visible learning from the perspective of a statistician. McGill Journal of Education/Revue des sciences de l’éducation de McGill, 52(1), 237–246.
Bolden, D. S., & Tymms, P. B. (2020). Standards in education: Reforms, stagnation and the need to rethink. Oxford Review of Education, 46(6), 717–733.
Bourdieu, P. (1977). Reproduction in Education. Society and Culture. London: Sage Publications.
Bourdieu, P. (1985). The social space and the genesis of groups. Theory and Society, 14(6), 723–744.
Bourdieu, P., Sapiro, G., & McHale, B. (1991). First lecture. Social space and symbolic space: Introduction to a Japanese reading of distinction. Poetics Today, 12(4), 627–638.
Byrne, B., Coventry, W. L., Olson, R. K., Wadsworth, S. J., Samuelsson, S., Petrill, S. A., & Corley, R. (2010). Teacher effects in early literacy development: Evidence from a study of twins. Journal of Educational Psychology, 102(1), 32.
Coe, R. (2007). Changes in standards at GCSE and A-level: Evidence from ALIS and YELLIS: A report for the ONS. CEM Centre, Durham University.
Deighton, J., Lereya, S. T., Casey, P., Humprey, N., & Wolpert, M. (2019). Prevalence of mental health problems in schools: Poverty and other risk factors among 28,000 adolescents in England. British Journal of Psychiatry, 215, 565–567.
Downey, D. B., & Condron, D. J. (2016). Fifty years since the Coleman Report: Rethinking the relationship between schools and inequality. Sociology of Education, 89(3), 207–220.
Durkin, K., Lipsey, M. W., Farran, D. C., & Wiesen, S. E. (2022). Effects of a statewide pre-kindergarten program on children’s achievement and behavior through sixth grade. Developmental Psychology, 58(3), 470–484. https://doi.org/10.1037/dev0001301
Fitz-Gibbon, C. T. (1997). The value added national project: Final report: Feasibility studies for a national system of value added indicators. School Curriculum and Assessment Authority.
Fitz-Gibbon, C. T., & Tymms, P. (2002). Technical and ethical issues in indicator systems. Chicago Education Policy Analysis Archives, 10, 6.
Fullan, M. (2009). Large-scale reform comes of age. Journal of Educational Change, 10(2–3), 101–113.
Gleick, J. (2011). Chaos: Making a new science. Open Road Media.
Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
Johnston, R., Manley, D., Jones, K., Hoare, A., & Harris, R. (2017). British educational trajectories from school to university: Evaluating quantitative evidence in policy formulation and justification. Policy & Politics, 45(2), 137–155.
Jones, K. L., Tymms, P., Kemethofer, D., O’Hara, J., McNamara, G., Huber, S., Myrberg, E., Skedsmo, G., & Greger, D. (2017). The unintended consequences of school inspection: The prevalence of inspection side-effects in Austria, the Czech Republic, England, Ireland, the Netherlands, Sweden and Switzerland. Oxford Review of Education, 43(6), 805–822.
Lorenz, E. N. (1963). Deterministic nonperiodic flow. Journal of Atmospheric Sciences, 20(2), 130–141.
Lortie-Forgues, H., & Inglis, M. (2019). Most rigorous large-scale educational RCTs are often uninformative: Should we be concerned? Educational Researcher, 48(3), 158–166.
Merry, J. J. (2013). Tracing the US deficit in PISA reading skills to early childhood: Evidence from the United States and Canada. Sociology of Education, 86(3), 234–252.
Muijs, D., Kyriakides, L., van der Werf, G., Creemers, B., Timperley, H., & Earl, L. (2014). State of the art—Teacher effectiveness and professional learning. School Effectiveness and School Improvement, 25(2), 231–256.
Popper, K. (2014). Conjectures and refutations: The growth of scientific knowledge. Routledge.
Rømer, T. A. (2019). A critique of John Hattie’s theory of Visible Learning. Educational Philosophy and Theory, 51(6), 587–598.
Seidel, T., & Shavelson, R. J. (2007). Teaching effectiveness research in the past decade: The role of theory and research design in disentangling meta-analysis results. Review of Educational Research, 77(4), 454–499. https://doi.org/10.3102/0034654307310317
Sellström, E., & Bremberg, S. (2006). Is there a “school effect” on pupil outcomes? A review of multilevel studies. Journal of Epidemiology & Community Health, 60(2), 149–155.
Smith, P. (1995). On the unintended consequences of publishing performance data in the public sector. International Journal of Public Administration, 18(2–3), 277–310.
Stockford, S. M. (2009). Meta-analysis of intraclass correlation coefficients from multilevel models of educational achievement. Arizona State University.
Styles, B., & Togerson, C. (2018). Randomised controlled trials (RCTs) in education research—Methodological debates, questions, challenges. Educational Research, 60(3), 255–264.
Terhart, E. (2011). Has John Hattie really found the holy grail of research on teaching? An extended review of Visible Learning. Journal of Curriculum Studies, 43(3), 425–438.
Tetlock, P. E., & Gardner, D. (2016). Superforecasting: The art and science of prediction. Random House.
Troncoso, P., Pampaka, M., & Olsen, W. (2016). Beyond traditional school value-added models: A multilevel analysis of complex school effects in Chile. School Effectiveness and School Improvement, 27(3), 293–314.
Tymms, P. (2004). Are standards rising in English primary schools? British Educational Research Journal, 30(4), 477–494.
Tymms, P. (2013). Baseline assessment and monitoring in primary schools. Routledge.
Tymms, V. (2015). Newtonian mechanics for undergraduates. World Scientific Publishing Company.
Tymms, P. (2016). Purposes for educational research. In D. Wyse, N. Selwyn, E. Smith, & L. E. Suter (Eds.), The BERA/SAGE handbook of educational research. Sage Publications Ltd.
Tymms, P., Merrell, C., Heron, T., Jones, P., Albone, S., & Henderson, B. (2008). The importance of districts. School Effectiveness and School Improvement, 19(3), 261–274.
Tymms, P., Merrell, C., & Wildy, H. (2015). The progress of pupils in their first school year across classes and educational systems. British Educational Research Journal, 41(3), 365–380.
Willms, J. D. (2003). Monitoring school performance: A guide for educators. Routledge.
Wilson, C. (2022). The replication crisis has spread through science—Can it be fixed? The New Scientist, 254(3381), 45–48.
World Bank. (2021). Pandemic threatens to drive unprecedented number of children into learning poverty. Retrieved January 11, 2022, from https://www.worldbank.org/en/news/press-release/2021/10/29/world-bank-pandemic-threatens-to-drive-unprecedented-number-of-children-into-learning-poverty
Zopluoglu, C. (2012). A cross-national comparison of intra-class correlation coefficient in educational achievement outcomes. Journal of Measurement and Evaluation in Education and Psychology, 3(1), 242–278.
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Tymms, P., Bolden, D. (2023). Innovation and Change Within Education. In: Preiss, D.D., Singer, M., Kaufman, J.C. (eds) Creativity, Innovation, and Change Across Cultures. Palgrave Studies in Creativity and Culture. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-28206-5_3
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