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College Remediation Goes Back to High School: Evidence from a Statewide Program in Tennessee

Author

Listed:
  • Thomas J. Kane
  • Angela Boatman
  • Whitney Kozakowski
  • Christopher Bennett
  • Rachel Hitch
  • Dana Weisenfeld

Abstract

Many U.S. students arrive on college campus lacking the skills expected for college-level work. As state leaders seek to increase postsecondary enrollment and completion, public colleges have sought to lessen the delays created by remedial course requirements. Tennessee has taken a novel approach by allowing students to complete their remediation requirements in high school. Using both a difference-in-differences and a regression discontinuity design, we evaluate the program’s impact on college enrollment and credit accumulation, finding that the program boosted enrollment in college-level math during the first year of college and allowed students to earn a modest 4.5 additional college credits by their second year. We also report the first causal evidence on remediation's impact on students' math skills, finding that the program did not improve students’ math achievement, nor boost students’ chances of passing college math. Our findings cast doubt on the effectiveness of the current model of remediation—whether in high school or college—in improving students’ math skills. They also suggest that the time cost of remediation—whether pre-requisite or co-requisite remediation—is not the primary barrier causing low degree completion for students with weak math preparation.

Suggested Citation

  • Thomas J. Kane & Angela Boatman & Whitney Kozakowski & Christopher Bennett & Rachel Hitch & Dana Weisenfeld, 2019. "College Remediation Goes Back to High School: Evidence from a Statewide Program in Tennessee," NBER Working Papers 26133, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26133
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    References listed on IDEAS

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    1. 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.
    2. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
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    Cited by:

    1. Phoebe Kotlikoff & Ahmed S. Rahman & Katherine A. Smith, 2022. "Minding the gap: academic outcomes from pre-college programs," Education Economics, Taylor & Francis Journals, vol. 30(1), pages 3-28, January.

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    More about this item

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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