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Can Online Off-The-Shelf Lessons Improve Student Outcomes? Evidence from A Field Experiment

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  • C. Kirabo Jackson
  • Alexey Makarin

Abstract

There has been a proliferation of websites that warehouse instructional materials designed to be taught by teachers in a traditional classroom. While this new technology has revolutionized how most teachers plan their lessons, the potential benefits of this innovation are unknown. To present evidence on this, we analyze an experiment in which middle-school math teachers were randomly given access to high-quality “off-the-shelf” lessons. Only providing teachers with online access to the lessons increased students’ math achievement by 0.06 of a standard deviation, but providing teachers with online access to the lessons along with supports to promote their use increased students’ math achievement by 0.09 of a standard deviation. Benefits were much larger for weaker teachers, suggesting that weaker teachers compensated for skill deficiencies by substituting the lessons for their own efforts. Survey evidence suggests that these effects were mediated by both improvements in lesson quality and teachers having more time to engage in other tasks. We rationalize these results with a multitask model of teaching. The intervention is more scalable and cost effective than most policies aimed at improving teacher quality, suggesting a real benefit to making high-quality instructional materials available to teachers on the internet.

Suggested Citation

  • C. Kirabo Jackson & Alexey Makarin, 2016. "Can Online Off-The-Shelf Lessons Improve Student Outcomes? Evidence from A Field Experiment," NBER Working Papers 22398, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22398
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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. David Deming, 2009. "Early Childhood Intervention and Life-Cycle Skill Development: Evidence from Head Start," American Economic Journal: Applied Economics, American Economic Association, vol. 1(3), pages 111-134, July.
    3. Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
    4. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    5. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    6. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    7. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    8. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    9. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    10. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555, Elsevier.
    11. James J. Heckman & Dimitriy V. Masterov, 2007. "The Productivity Argument for Investing in Young Children," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 446-493.
    12. Jesse Rothstein, 2015. "Teacher Quality Policy When Supply Matters," American Economic Review, American Economic Association, vol. 105(1), pages 100-130, January.
    13. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    14. Nicholas Bloom & Christos Genakos & Raffaella Sadun & John Van Reenen, 2011. "Management Practices Across Firms and Countries," CEP Discussion Papers dp1109, Centre for Economic Performance, LSE.
    15. C. Kirabo Jackson, 2016. "The Effect of Single-Sex Education on Test Scores, School Completion, Arrests, and Teen Motherhood: Evidence from School Transitions," NBER Working Papers 22222, National Bureau of Economic Research, Inc.
    16. C. Kirabo Jackson & Jonah E. Rockoff & Douglas O. Staiger, 2014. "Teacher Effects and Teacher-Related Policies," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 801-825, August.
    17. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    18. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    19. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    20. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    21. Eric S. Taylor & John H. Tyler, 2012. "The Effect of Evaluation on Teacher Performance," American Economic Review, American Economic Association, vol. 102(7), pages 3628-3651, December.
    22. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    23. Lisa Barrow & Lisa Markman & Cecilia Elena Rouse, 2009. "Technology's Edge: The Educational Benefits of Computer-Aided Instruction," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 52-74, February.
    24. Stefano DellaVigna & Ulrike Malmendier, 2006. "Paying Not to Go to the Gym," American Economic Review, American Economic Association, vol. 96(3), pages 694-719, June.
    25. C. Kirabo Jackson & Rucker C. Johnson & Claudia Persico, 2016. "The Effects of School Spending on Educational and Economic Outcomes: Evidence from School Finance Reforms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 157-218.
    26. Roland G. Fryer, Jr, 2016. "The 'Pupil' Factory: Specialization and the Production of Human Capital in Schools," NBER Working Papers 22205, National Bureau of Economic Research, Inc.
    27. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    28. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "Contract Teachers: Experimental Evidence from India," NBER Working Papers 19440, National Bureau of Economic Research, Inc.
    29. C. Kirabo Jackson, 2018. "What Do Test Scores Miss? The Importance of Teacher Effects on Non–Test Score Outcomes," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 2072-2107.
    30. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    31. Diether W. Beuermann & Julian Cristia & Santiago Cueto & Ofer Malamud & Yyannu Cruz-Aguayo, 2015. "One Laptop per Child at Home: Short-Term Impacts from a Randomized Experiment in Peru," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 53-80, April.
    32. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    33. C. Kirabo Jackson Jr. & Henry S. Schneider Jr., 2015. "Checklists and Worker Behavior: A Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 136-168, October.
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    2. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    3. Buhl-Wiggers, Julie & Kerwin, Jason & Muñoz-Morales, Juan S. & Smith, Jeffrey A. & Thornton, Rebecca L., 2020. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," IZA Discussion Papers 13598, Institute of Labor Economics (IZA).
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    5. Pietro Sancassani, 2021. "The Effect of Teacher Characteristics on Students’ Science Achievement," ifo Working Paper Series 348, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Briscese, Guglielmo & Zanella, Giulio & Quinn, Veronica, 2020. "Improving Job Search Skills: A Field Experiment on Online Employment Assistance," IZA Discussion Papers 13170, Institute of Labor Economics (IZA).
    7. David Blazar & Blake Heller & Thomas J. Kane & Morgan Polikoff & Douglas O. Staiger & Scott Carrell & Dan Goldhaber & Douglas N. Harris & Rachel Hitch & Kristian L. Holden & Michal Kurlaender, 2020. "Curriculum Reform in The Common Core Era: Evaluating Elementary Math Textbooks Across Six U.S. States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 966-1019, September.
    8. Cardim, Joana & Molina-Millán, Teresa & Vicente, Pedro C., 2023. "Can technology improve the classroom experience in primary education? An African experiment on a worldwide program," Journal of Development Economics, Elsevier, vol. 164(C).
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    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J0 - Labor and Demographic Economics - - General
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy

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