IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28180.html
   My bibliography  Save this paper

The Effect of Computer-Assisted Learning on Students' Long-Term Development

Author

Listed:
  • Nicola Bianchi
  • Yi Lu
  • Hong Song

Abstract

In this paper, we examine the effect of computer-assisted learning on students’ long-term development. We explore the implementation of the “largest ed-tech intervention in the world to date,” which connected China’s best teachers to more than 100 million rural students through satellite internet. We find evidence that exposure to the program improved students’ academic achievement, labor performance, and computer usage. We observe these effects up to ten years after program implementation. These findings indicate that education technology can have long-lasting positive effects on a variety of outcomes and can be effective in reducing the rural–urban education gap.

Suggested Citation

  • Nicola Bianchi & Yi Lu & Hong Song, 2020. "The Effect of Computer-Assisted Learning on Students' Long-Term Development," NBER Working Papers 28180, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28180
    Note: DEV ED LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28180.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sonalde Desai & Veena Kulkarni, 2008. "Changing educational inequalities in india in the context of affirmative action," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 245-270, May.
    2. Teresa Molina Millán & Tania Barham & Karen Macours & John A Maluccio & Marco Stampini, 2019. "Long-Term Impacts of Conditional Cash Transfers: Review of the Evidence," The World Bank Research Observer, World Bank, vol. 34(1), pages 119-159.
    3. Harris, Douglas N. & Sass, Tim R., 2011. "Teacher training, teacher quality and student achievement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 798-812, August.
    4. 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.
    5. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    6. 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.
    7. Christopher R. Walters, 2015. "Inputs in the Production of Early Childhood Human Capital: Evidence from Head Start," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 76-102, October.
    8. Eric V. Edmonds & Nina Pavcnik & Petia Topalova, 2010. "Trade Adjustment and Human Capital Investments: Evidence from Indian Tariff Reform," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 42-75, October.
    9. Robert W. Fairlie & Jonathan Robinson, 2013. "Experimental Evidence on the Effects of Home Computers on Academic Achievement among Schoolchildren," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 211-240, July.
    10. Li, Hongbin & Liu, Pak Wai & Zhang, Junsen, 2012. "Estimating returns to education using twins in urban China," Journal of Development Economics, Elsevier, vol. 97(2), pages 494-504.
    11. Austan Goolsbee & Jonathan Guryan, 2006. "The Impact of Internet Subsidies in Public Schools," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 336-347, May.
    12. Brown, Philip H. & Park, Albert, 2002. "Education and poverty in rural China," Economics of Education Review, Elsevier, vol. 21(6), pages 523-541, December.
    13. Teresa Molina Millán & Tania Barham & Karen Macours & John A Maluccio & Marco Stampini, 2019. "Long-Term Impacts of Conditional Cash Transfers: Review of the Evidence," The World Bank Research Observer, World Bank, vol. 34(1), pages 119-159.
    14. Wang, Jin, 2013. "The economic impact of Special Economic Zones: Evidence from Chinese municipalities," Journal of Development Economics, Elsevier, vol. 101(C), pages 133-147.
    15. Edwin Leuven & Mikael Lindahl & Hessel Oosterbeek & Dinand Webbink, 2007. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 721-736, November.
    16. Carl Mellström & Magnus Johannesson, 2008. "Crowding Out in Blood Donation: Was Titmuss Right?," Journal of the European Economic Association, MIT Press, vol. 6(4), pages 845-863, June.
    17. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    18. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    19. Maya Escueta & Vincent Quan & Andre Joshua Nickow & Philip Oreopoulos, 2017. "Education Technology: An Evidence-Based Review," NBER Working Papers 23744, National Bureau of Economic Research, Inc.
    20. Brian A. Jacob & Lars Lefgren, 2008. "Can Principals Identify Effective Teachers? Evidence on Subjective Performance Evaluation in Education," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 101-136.
    21. Wei Huang & Chuanchuan Zhang, 2021. "The Power of Social Pensions: Evidence from China's New Rural Pension Scheme," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 179-205, April.
    22. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    23. Junsen Zhang, 2021. "A Survey on Income Inequality in China," Journal of Economic Literature, American Economic Association, vol. 59(4), pages 1191-1239, December.
    24. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    25. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    26. 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.
    27. 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.
    28. Sabrin Beg & Waqas Halim & Adrienne M. Lucas & Umar Saif, 2022. "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 61-90, May.
    29. Molina Millán, Teresa & Macours, Karen & Maluccio, John A. & Tejerina, Luis, 2020. "Experimental long-term effects of early-childhood and school-age exposure to a conditional cash transfer program," Journal of Development Economics, Elsevier, vol. 143(C).
    30. Frey, Bruno S & Oberholzer-Gee, Felix, 1997. "The Cost of Price Incentives: An Empirical Analysis of Motivation Crowding-Out," American Economic Review, American Economic Association, vol. 87(4), pages 746-755, September.
    31. Baird, Sarah & McIntosh, Craig & Özler, Berk, 2019. "When the money runs out: Do cash transfers have sustained effects on human capital accumulation?," Journal of Development Economics, Elsevier, vol. 140(C), pages 169-185.
    32. 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.
    33. Berlinski, Samuel & Busso, Matias, 2017. "Challenges in educational reform: An experiment on active learning in mathematics," Economics Letters, Elsevier, vol. 156(C), pages 172-175.
    34. 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.
    35. Zhang, Junsen & Zhao, Yaohui & Park, Albert & Song, Xiaoqing, 2005. "Economic returns to schooling in urban China, 1988 to 2001," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 730-752, December.
    36. 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.
    37. Michael S. McPherson & Lawrence S. Bacow, 2015. "Online Higher Education: Beyond the Hype Cycle," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 135-154, Fall.
    38. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    39. Derksen, Laura & Michaud-Leclerc, Catherine & Souza, Pedro C.L., 2022. "Restricted access: How the internet can be used to promote reading and learning," Journal of Development Economics, Elsevier, vol. 155(C).
    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. Hui Hu & Yuqi Zhu & Chien-Chiang Lee & Alastair M. Morrison, 2023. "The effects of foreign product demand-labor transfer nexus on human capital investment in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Guanfu Fang & Xin Li & Tianyu Tang, 2024. "Growing up without health insurance: Evidence from rural China," Health Economics, John Wiley & Sons, Ltd., vol. 33(2), pages 363-390, February.
    3. Hojun Lee & Youngsik Kim, 2023. "Exploring the Effects of Computer and Smart Device-Assisted Learning on Students’ Achievements: Empirical Evidence from Korea," Sustainability, MDPI, vol. 15(17), pages 1-16, September.
    4. Laia Navarro-Sola, 2021. "Secondary Schools with Televised Lessons: The Labor Market Returns of the Mexican Telesecundaria," Working Papers 2021-053, Human Capital and Economic Opportunity Working Group.

    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. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    2. 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).
    3. Derksen, Laura & Michaud-Leclerc, Catherine & Souza, Pedro C.L., 2022. "Restricted access: How the internet can be used to promote reading and learning," Journal of Development Economics, Elsevier, vol. 155(C).
    4. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    5. 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.
    6. Derksen, Laura & Leclerc, Catherine Michaud & Souza, Pedro CL, 2019. "Searching for Answers: The Impact of Student Access to Wikipedia," CAGE Online Working Paper Series 450, Competitive Advantage in the Global Economy (CAGE).
    7. 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.
    8. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2021. "A laptop for every child? The impact of technology on human capital formation," Labour Economics, Elsevier, vol. 69(C).
    9. Patterson, Richard W. & Patterson, Robert M., 2017. "Computers and productivity: Evidence from laptop use in the college classroom," Economics of Education Review, Elsevier, vol. 57(C), pages 66-79.
    10. 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.
    11. Derksen, Laura & Leclerc, Catherine Michaud & Souza, Pedro CL, 2019. "Searching for Answers : The Impact of Student Access to Wikipedia," The Warwick Economics Research Paper Series (TWERPS) 1236, University of Warwick, Department of Economics.
    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. 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.
    14. 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.
    15. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    16. 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).
    17. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    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. 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.
    20. 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.

    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:28180. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.