A Quantitative Assessment of the Recent Trends in Mathematical Aptitude

Cansi, Muhammet Ali and Karademir, Serkan and Yucel, Mustafa Eray (2026): A Quantitative Assessment of the Recent Trends in Mathematical Aptitude.

Abstract

This paper presents an empirical investigation of the recent evolution of mathematics scores of Economics, Management, Political Science, International Relations, and Psychology bachelor’s program entrants in Türkiye for the period of 2019-2024. The estimates underscore the heterogeneous impacts of COVID-19 on mathematical aptitude measured by the university entrance exam performances of students. Heterogeneities across exam types along with uniformity across programs provide insights to inform post-pandemic educational policy and future exam design.

• Item Type: MPRA Paper
• Language: English
• Keywords: Mathematical aptitude; Higher education; COVID-19; Distant education; Türkiye.
• Subjects: A - General Economics and Teaching > A2 - Economic Education and Teaching of Economics > A22 - Undergraduate; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation

References

Agarwal, N., and P. Somaini (2018). Demand analysis using strategic reports: An application to a school choice mechanism. Econometrica 86, 391–444.

Akyol, P., K. Krishna, and S. Lychagin (2024). Targeting the gender placement gap: Marks versus money. NBER Working Paper No. 33074.

Betthäuser, B. A., A. M. Bach-Mortensen, and P. Engzell (2023). A systematic review and meta-analysis of the impact of the COVID-19 pandemic on learning. Nature Human Behaviour 7, 375–385.

Calsamiglia, C., C. Fu, and M. Güell (2020). Structural estimation of a model of school choices: The Boston mechanism versus its alternatives. Journal of Political Economy 128, 642–680.

de Medeiros Miranda, E., and D. R. Baum (2024). COVID-19 learning loss and recovery in Brazil: Assessing gaps across social groups. Education Policy Analysis Archives 32, Article 8082.

Di Pietro, G. (2023). The impact of COVID-19 on student achievement: Evidence from a recent meta-analysis. Educational Research Review 39, 100530.

Donnelly, R., and H. A. Patrinos (2022). Learning loss during COVID-19: An early systematic review. Prospects 51, 601–609.

Engzell, P., A. Frey, and M. Verhagen (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences 118(17), e2022376118.

Hammerstein, S., C. König, T. Dreisörner, and A. Frey (2021). Effects of COVID-19-related school closures on student achievement: A systematic review. Educational Measurement: Issues and Practice 40, 16–25.

Haser, Ç., E. Külekçi, Z. Uysal, and E. Ermiş (2022). Tracing students’ mathematics learning loss during school closures in Türkiye. International Journal of Educational Development 88, 102531.

Karadağ, E., and C. Yücel (2021). The impacts of the COVID-19 pandemic on grade inflation in higher education: Evidence from Türkiye. PLOS ONE 16(8), e0256688.

Kuhfeld, M., J. Soland, K. Lewis, E. Ruzek, and A. Johnson (2022). The COVID-19 school year: Learning and recovery across 2020–2021. AERA Open 8, 1–15.

Maldonado, J. E., and K. De Witte (2022). The effect of school closures on standardized student test outcomes. British Educational Research Journal 48, 848–873.

National Center for Education Statistics (2022). NAEP 2022 long-term trend and main assessments: Mathematics and reading. Washington, DC: U.S. Department of Education.

OECD (2023). PISA 2022 Results, Volume I: The State of Learning and Equity in Education. Paris: OECD Publishing.

ÖSYM (2023). 2023-YKS sınav sonuçlarına ilişkin sayısal bilgiler. Ankara: Ölçme, Seçme ve Yerleştirme Merkezi.

ÖSYM (2024). 2024-YKS sonuçları açıklandı. Ankara: Ölçme, Seçme ve Yerleştirme Merkezi.

Saygın, P. O. (2016). Gender differences in preferences for taking risk in college applications. Economics of Education Review 52, 120–133.

Stinebrickner, R., and T. R. Stinebrickner (2014). A major in science? Initial beliefs and final outcomes for college major and dropout. Review of Economic Studies 81, 426–472.

Toker, T. (2022). Detecting possible learning losses due to COVID-19 pandemic: An application of curriculum-based assessment. International Journal of Contemporary Educational Research, 9(1), 78–86.