IDEAS home Printed from https://ideas.repec.org/a/aea/aejpol/v10y2018i3p226-54.html
   My bibliography  Save this article

Can Online Off-the-Shelf Lessons Improve Student Outcomes? Evidence from a Field Experiment

Author

Listed:
  • Kirabo Jackson
  • Alexey Makarin

Abstract

Many websites now warehouse instructional materials designed to be taught by teachers in a traditional classroom. What are the potential benefits of the new resources? We analyze an experiment in which we randomly give middle school math teachers access to existing high-quality, off-the-shelf lessons, and in some cases, support to promote their use. Teachers receiving access alone increased students' math achievement by a marginally significant 0.06 of a standard deviation. Teachers who received access and support increased students' math achievement by 0.09 of a standard deviation. Weaker teachers experience larger gains, suggesting that these lessons substitute for teacher skill or efforts. The online materials are more scalable and cost effective than most policies aimed at improving teacher quality, suggesting that, if search costs can be overcome, there is a real benefit to making high-quality instructional materials available to teachers on the Internet.

Suggested Citation

  • Kirabo Jackson & Alexey Makarin, 2018. "Can Online Off-the-Shelf Lessons Improve Student Outcomes? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 226-254, August.
  • Handle: RePEc:aea:aejpol:v:10:y:2018:i:3:p:226-54
    Note: DOI: 10.1257/pol.20170211
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pol.20170211
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=CX8k1nsbgM_-hA1r1fH2xRW3vNuYyy3D
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=7Up3EB1ST3CtDjbcN7gSg5EfjIyn77Br
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=hZiOIFjIeUQ_q2AodSr2ERZ84ARzhGw7
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Jesse Rothstein, 2015. "Teacher Quality Policy When Supply Matters," American Economic Review, American Economic Association, vol. 105(1), pages 100-130, January.
    7. 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.
    8. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1235-1264.
    9. 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.
    10. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    11. 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.
    12. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    13. 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.
    14. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    15. 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.
    16. 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.
    17. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    18. 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.
    19. 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.
    20. 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.
    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. 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.
    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. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "Contract Teachers: Experimental Evidence from India," NBER Working Papers 19440, National Bureau of Economic Research, Inc.
    33. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    2. 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).
    3. 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.
    4. Sarah R. Cohodes & Elizabeth M. Setren & Christopher R. Walters, 2021. "Can Successful Schools Replicate? Scaling Up Boston's Charter School Sector," American Economic Journal: Economic Policy, American Economic Association, vol. 13(1), pages 138-167, February.
    5. Thomas S. Dee & Emily K. Penner, 2021. "My Brother's Keeper? The Impact of Targeted Educational Supports," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1171-1196, September.
    6. 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.
    7. 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).
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    2. Eric Bettinger & Robert Fairlie & Anastasia Kapuza & Elena Kardanova & Prashant Loyalka & Andrey Zakharov, 2023. "Diminishing Marginal Returns to Computer‐Assisted Learning," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 552-570, March.
    3. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    4. Bianchi, Nicola & Lu, Yi & Song, Hong, 2022. "The effect of computer-assisted learning on students’ long-term development," Journal of Development Economics, Elsevier, vol. 158(C).
    5. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    6. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    7. Gómez-Fernández, Nerea & Mediavilla, Mauro, 2021. "Exploring the relationship between Information and Communication Technologies (ICT) and academic performance: A multilevel analysis for Spain," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    8. Peter Leopold S. Bergman & Todd Rogers, 2017. "The Impact of Defaults on Technology Adoption, and its Underappreciation by Policymakers," CESifo Working Paper Series 6721, CESifo.
    9. Yang, Minseok & Lee, Ho Jun, 2022. "Do school resources reduce socioeconomic achievement gap? Evidence from PISA 2015," International Journal of Educational Development, Elsevier, vol. 88(C).
    10. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer Assisted Learning in China," NBER Working Papers 26953, National Bureau of Economic Research, Inc.
    11. 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).
    12. Naik, Gopal & Chitre, Chetan & Bhalla, Manaswini & Rajan, Jothsna, 2020. "Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India," World Development, Elsevier, vol. 127(C).
    13. Evan Riehl & Meredith Welch, 2023. "Accountability, Test Prep Incentives, and the Design of Math and English Exams," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 60-96, January.
    14. Aaron K. Chatterji, 2017. "Innovation and American K-12 Education," NBER Chapters, in: Innovation Policy and the Economy, Volume 18, pages 27-51, National Bureau of Economic Research, Inc.
    15. Yi Lu & Hong Song, 2020. "The effect of educational technology on college students’ labor market performance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 1101-1126, July.
    16. Gershenson, Seth, 2021. "Identifying and Producing Effective Teachers," IZA Discussion Papers 14096, Institute of Labor Economics (IZA).
    17. Peter Leopold S. Bergman, 2016. "Technology Adoption in Education: Usage, Spillovers and Student Achievement," CESifo Working Paper Series 6101, CESifo.
    18. Aaron Chatterji, 2017. "Innovation and American K-12 Education," NBER Working Papers 23531, National Bureau of Economic Research, Inc.
    19. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    20. Hisaki Kono & Yasuyuki Sawada & Abu S. Shonchoy, 2016. "DVD-based Distance-learning Program for University Entrance Exams: Experimental Evidence from Rural Bangladesh," CIRJE F-Series CIRJE-F-1027, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aejpol:v:10:y:2018:i:3:p:226-54. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.