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The relative benefits of live versus online delivery: Evidence from virtual algebra I in North Carolina

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  • Heissel, Jennifer

Abstract

Over one million K-12 students pursue virtual education every year, but researchers know very little about the effectiveness of such programs. This paper exploits a district policy change that suddenly shifted advanced eighth graders into a virtual classroom for Algebra I. After the policy, higher-ability eighth graders in the treatment district began taking Algebra I in the virtual classroom at rates similar to the statewide average of their peers in traditional classrooms.

Suggested Citation

  • Heissel, Jennifer, 2016. "The relative benefits of live versus online delivery: Evidence from virtual algebra I in North Carolina," Economics of Education Review, Elsevier, vol. 53(C), pages 99-115.
    • Handle: RePEc:eee:ecoedu:v:53:y:2016:i:c:p:99-115
    DOI: 10.1016/j.econedurev.2016.05.001
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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2015. "The Aftermath of Accelerating Algebra: Evidence from District Policy Initiatives," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 159-188.
    3. Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
    4. David Figlio & Mark Rush & Lu Yin, 2013. "Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning," Journal of Labor Economics, University of Chicago Press, vol. 31(4), pages 763-784.
    5. William G. Bowen & Matthew M. Chingos & Kelly A. Lack & Thomas I. Nygren, 2014. "Interactive Learning Online at Public Universities: Evidence from a Six‐Campus Randomized Trial," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(1), pages 94-111, January.
    6. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    7. Cowen, Joshua M. & Butler, J.S. & Fowles, Jacob & Streams, Megan E. & Toma, Eugenia F., 2012. "Teacher retention in Appalachian schools: Evidence from Kentucky," Economics of Education Review, Elsevier, vol. 31(4), pages 431-441.
    8. Shadish, William R. & Clark, M. H. & Steiner, Peter M., 2008. "Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1334-1344.
    9. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    10. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    11. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    12. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
    13. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    14. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

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    2. Christine H. Roch & Courtney Montague, 2021. "Teaching in the Virtual World: Examining Teachers’ Job Satisfaction and Turnover," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2795-2811, November.
    3. Kurtz, Michael D. & Conway, Karen Smith & Mohr, Robert D., 2020. "Weekend feeding (“BackPack”) programs and student outcomes," Economics of Education Review, Elsevier, vol. 79(C).
    4. Sun, Yue & Tang, Can & Zhao, Zhong, 2024. "Does online education magnify educational inequalities? Evidence from the COVID-19 pandemic," China Economic Review, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    Virtual education; Online education; Algebra; Math; Middle school;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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