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An intensive, school-based learning camp targeting academic and non-cognitive skills evaluated in a randomized trial

Author

Listed:
  • Hvidman, Charlotte
  • Koch, Alexander
  • Nafziger, Julia
  • Albeck Nielsen, Søren
  • Rosholm, Michael
Abstract
We evaluate two variants of a school-based, intensive learning camp for pupils who are assessed 'not ready' for further education after compulsory school, using a stratified cluster randomized trial involving 15,559 pupils in 264 schools in Denmark. Next to training pupils in Danish and mathematics, the main variant targets non-cognitive skills, while the alternative variant instead uses this time for more training in Danish and math. In the short-run, in the academic areas that are targeted in the camp, we find small positive effects in math and weak evidence for positive effects in Danish. Yet, we find no evidence of lasting effects and we do not find short-run effects on non-targeted areas in math and Danish or on non-cognitive skills. Further, we find no evidence that training of non-cognitive skills affects academic outcomes. These results provide a perspective on recent evidence regarding the effects of training non-cognitive skills in schools - by running such an intervention with older pupils and in a comparatively high-resource school system.

Suggested Citation

  • Hvidman, Charlotte & Koch, Alexander & Nafziger, Julia & Albeck Nielsen, Søren & Rosholm, Michael, 2021. "An intensive, school-based learning camp targeting academic and non-cognitive skills evaluated in a randomized trial," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242333, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc21:242333
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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Simon Calmar Andersen & Louise Beuchert & Helena Skyt Nielsen & Mette Kjærgaard Thomsen, 2020. "The Effect of Teacher's Aides in the Classroom: Evidence from a Randomized Trial," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 469-505.
    3. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    4. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    5. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    6. Vischer, Thomas & Dohmen, Thomas & Falk, Armin & Huffman, David & Schupp, Jürgen & Sunde, Uwe & Wagner, Gert G., 2013. "Validating an ultra-short survey measure of patience," Economics Letters, Elsevier, vol. 120(2), pages 142-145.
    7. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    8. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    9. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    10. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    11. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    12. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    13. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    14. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    15. Giorgio Di Pietro & Federico Biagi & Patricia Costa & Zbigniew Karpinski & Jacopo Mazza, 2020. "The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets," JRC Research Reports JRC121071, Joint Research Centre.
    16. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    17. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    18. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    19. Ansel Jason & Hong Han & Jessie Li and, 2018. "OLS and 2SLS in Randomized and Conditionally Randomized Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(3-4), pages 243-293, July.
    20. Simon Calmar Andersen & Thorbjørn Sejr Guul & Maria Knoth Humlum, 2022. "How first-language instruction transfers to majority-language skills," Nature Human Behaviour, Nature, vol. 6(2), pages 229-235, February.
    21. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    22. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    23. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    24. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    25. Sule Alan & Teodora Boneva & Seda Ertac, 2019. "Ever Failed, Try Again, Succeed Better: Results from a Randomized Educational Intervention on Grit," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1121-1162.
    26. Cortes, Kalena E. & Goodman, Joshua Samuel & Nomi, Takako, 2015. "Intensive Math Instruction and Educational Attainment," Scholarly Articles 34298862, Harvard Kennedy School of Government.
    27. Martins, Pedro S., 2017. "Can Non-Cognitive Skills Programs Improve Achievement? Quasi-Experimental Evidence from EPIS," GLO Discussion Paper Series 105, Global Labor Organization (GLO).
    28. Erich Battistin & Antonio Schizzerotto, 2019. "Threat of grade retention, remedial education and student achievement: evidence from upper secondary schools in Italy," Empirical Economics, Springer, vol. 56(2), pages 651-678, February.
    29. Heckman, James J., 2011. "Integrating Personality Psychology into Economics," IZA Discussion Papers 5950, Institute of Labor Economics (IZA).
    30. Jens Dietrichson & Trine Filges & Julie K. Seerup & Rasmus H. Klokker & Bjørn C. A. Viinholt & Martin Bøg & Misja Eiberg, 2021. "Targeted school‐based interventions for improving reading and mathematics for students with or at risk of academic difficulties in Grades K‐6: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    31. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    32. Sule Alan & Seda Ertac, 2018. "Fostering Patience in the Classroom: Results from Randomized Educational Intervention," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1865-1911.
    33. Núria Rodríguez-Planas, 2012. "Longer-Term Impacts of Mentoring, Educational Services, and Learning Incentives: Evidence from a Randomized Trial in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 4(4), pages 121-139, October.
    34. Matsudaira, Jordan D., 2008. "Mandatory summer school and student achievement," Journal of Econometrics, Elsevier, vol. 142(2), pages 829-850, February.
    35. Jens Dietrichson & Trine Filges & Rasmus H. Klokker & Bjørn C. A. Viinholt & Martin Bøg & Ulla H. Jensen, 2020. "Targeted school‐based interventions for improving reading and mathematics for students with, or at risk of, academic difficulties in Grades 7–12: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(2), June.
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    More about this item

    Keywords

    Randomized trial; remedial education program; non-cognitive skills;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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