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GPT takes the SAT: Tracing changes in Test Difficulty and Math Performance of Students

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  • Vikram Krishnaveti
  • Saannidhya Rawat
Abstract
Scholastic Aptitude Test (SAT) is crucial for college admissions but its effectiveness and relevance are increasingly questioned. This paper enhances Synthetic Control methods by introducing "Transformed Control", a novel method that employs Large Language Models (LLMs) powered by Artificial Intelligence to generate control groups. We utilize OpenAI's API to generate a control group where GPT-4, or ChatGPT, takes multiple SATs annually from 2008 to 2023. This control group helps analyze shifts in SAT math difficulty over time, starting from the baseline year of 2008. Using parallel trends, we calculate the Average Difference in Scores (ADS) to assess changes in high school students' math performance. Our results indicate a significant decrease in the difficulty of the SAT math section over time, alongside a decline in students' math performance. The analysis shows a 71-point drop in the rigor of SAT math from 2008 to 2023, with student performance decreasing by 36 points, resulting in a 107-point total divergence in average student math performance. We investigate possible mechanisms for this decline in math proficiency, such as changing university selection criteria, increased screen time, grade inflation, and worsening adolescent mental health. Disparities among demographic groups show a 104-point drop for White students, 84 points for Black students, and 53 points for Asian students. Male students saw a 117-point reduction, while female students had a 100-point decrease.

Suggested Citation

  • Vikram Krishnaveti & Saannidhya Rawat, 2024. "GPT takes the SAT: Tracing changes in Test Difficulty and Math Performance of Students," Papers 2409.10750, arXiv.org.
    • Handle: RePEc:arx:papers:2409.10750
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    1. Anton Korinek, 2023. "Generative AI for Economic Research: Use Cases and Implications for Economists," Journal of Economic Literature, American Economic Association, vol. 61(4), pages 1281-1317, December.
    2. Caroline M. Hoxby, 2009. "The Changing Selectivity of American Colleges," Journal of Economic Perspectives, American Economic Association, vol. 23(4), pages 95-118, Fall.
    3. Jack Mountjoy & Brent Hickman, 2020. "The Returns to College(s): Estimating Value-Added and Match Effects in Higher Education," Working Papers 2020-08, Becker Friedman Institute for Research In Economics.
    4. Raj Chetty & David J. Deming & John N. Friedman, 2023. "Diversifying Society’s Leaders? The Determinants and Causal Effects of Admission to Highly Selective Private Colleges," NBER Working Papers 31492, National Bureau of Economic Research, Inc.
    5. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    6. Mark Hoekstra, 2009. "The Effect of Attending the Flagship State University on Earnings: A Discontinuity-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 717-724, November.
    7. Saboe, Matt & Terrizzi, Sabrina, 2019. "SAT optional policies: Do they influence graduate quality, selectivity or diversity?," Economics Letters, Elsevier, vol. 174(C), pages 13-17.
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