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The Impact of Secondary Education Choices on Mathematical Performance in University: The Role of Non-Cognitive Skills

Author

Listed:
  • Carlos Arias

    (Department of Economics and Statistics, University of Leon, 24007 Leon, Spain)

  • Javier Valbuena

    (Department of Applied Economics, University of Zaragoza, 50005 Zaragoza, Spain)

  • Jose Manuel Garcia

    (Department of Education, Regional Government of Castilla and Leon, 24007 Leon, Spain)

Abstract

(1) Background: this study evaluates the most relevant factors affecting the performance in mathematics of university undergraduates. Precisely, the mathematical background of students. Spanish secondary education provides an opportunity to develop this analysis since students can choose between two secondary education tracks with different mathematical content and depth. (2) Methods: a survey was conducted covering personal characteristics, socioeconomic status, academic choices and academic achievement as well as a set of questions aimed to uncover attitudes towards mathematics. Students that show preferences regarding mathematics are prone to choose the track with more mathematical content, creating a potential confusion between training and attitudes towards mathematics. We propose an index of non- cognitive skills related to mathematics to account for this problem. (3) Results: prior background in mathematics plays a role in mathematical performance at university even after correcting for non-cognitive skills related to mathematics. The effects are heterogeneous with respect to gender. (4) Conclusions: choosing a more mathematical-oriented itinerary in secondary education seems to give an edge to students. Our results shed light on the implications associated with the decision of secondary school track choice made by students. Furthermore, they are meant to serve as a guide to improve the design of remedial courses.

Suggested Citation

  • Carlos Arias & Javier Valbuena & Jose Manuel Garcia, 2021. "The Impact of Secondary Education Choices on Mathematical Performance in University: The Role of Non-Cognitive Skills," Mathematics, MDPI, vol. 9(21), pages 1-16, October.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2744-:d:667016
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    References listed on IDEAS

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    1. Hendrik Jürges & Kerstin Schneider, 2010. "Central exit examinations increase performance... but take the fun out of mathematics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 497-517, March.
    2. Anne Case & Angus Deaton, 1999. "School Inputs and Educational Outcomes in South Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 1047-1084.
    3. Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017. "The gender gap in mathematics achievement: Evidence from Italian data," Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
    4. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    5. Lorenzo Cappellari & Claudio Lucifora & Dario Pozzoli, 2012. "Determinants of grades in maths for students in economics," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 1-17, February.
    6. Yuanyuan Chen & Shuaizhang Feng & James J. Heckman & Tim Kautz, 2020. "Sensitivity of self-reported noncognitive skills to survey administration conditions," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(2), pages 931-935, January.
    7. Massimiliano Bratti & Stefano Staffolani, 2013. "Student Time Allocation and Educational Production Functions," Annals of Economics and Statistics, GENES, issue 111-112, pages 103-140.
    8. repec:adr:anecst:y:2013:i:111-112:p:5 is not listed on IDEAS
    9. Lex Borghans & Huub Meijers & Bas Ter Weel, 2008. "The Role Of Noncognitive Skills In Explaining Cognitive Test Scores," Economic Inquiry, Western Economic Association International, vol. 46(1), pages 2-12, January.
    10. Lorraine Dearden & Javier Ferri & Costas Meghir, 2002. "The Effect Of School Quality On Educational Attainment And Wages," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 1-20, February.
    11. Borghans, L. & Golsteyn, B.H.H. & Heckman, James & Humphries, John Eric, 2011. "Identification problems in personality psychology," Research Memorandum 025, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. Johan N. M. Lagerlöf & Andrew J. Seltzer, 2009. "The Effects of Remedial Mathematics on the Learning of Economics: Evidence from a Natural Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(2), pages 115-137, April.
    13. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    14. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," The World Bank Research Observer, World Bank, vol. 10(2), pages 227-246, August.
    15. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    16. Juan J. Dolado & Eduardo Morales, 2009. "Which factors determine academic performance of Economics freshers? Some Spanish evidence," Investigaciones Economicas, Fundación SEPI, vol. 33(2), pages 179-210, May.
    17. Charles L. Ballard & Marianne F. Johnson, 2004. "Basic Math Skills and Performance in an Introductory Economics Class," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(1), pages 3-23, January.
    18. Jeremy Smith & Robin Naylor, 2001. "Determinants of Degree Performance in UK Universities: A Statistical Analysis of the 1993 Student Cohort," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 29-60, February.
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