IDEAS home Printed from https://ideas.repec.org/a/eee/deveco/v164y2023ics0304387823001001.html
   My bibliography  Save this article

Can technology improve the classroom experience in primary education? An African experiment on a worldwide program

Author

Listed:
  • Cardim, Joana
  • Molina-Millán, Teresa
  • Vicente, Pedro C.

Abstract

Primary school coverage has been increasing in most developing countries. Yet, it has not been accompanied by significant improvements in learning indicators. We implemented a randomized experiment in Angola around the introduction of ProFuturo, a worldwide educational program. The program includes a Computer-assisted Learning (CAL) software directed at improving the regular classroom experience. One year after the program started, we find higher familiarity with technology. Teachers miss fewer days of classes and implement better teaching practices. Students become more interested in learning and pro-social. Finally, the program improves students’ test scores but only in the most popular subject in the CAL platform.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:deveco:v:164:y:2023:i:c:s0304387823001001
    DOI: 10.1016/j.jdeveco.2023.103145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304387823001001
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jdeveco.2023.103145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Ofer Malamud & Cristian Pop-Eleches, 2011. "Home Computer Use and the Development of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 987-1027.
    3. 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.
    4. Carrillo, Paul E. & Onofa, Mercedes & Ponce, Juan, 2010. "Information Technology and Student Achievement: Evidence from a Randomized Experiment in Ecuador," IDB Publications (Working Papers) 3094, Inter-American Development Bank.
    5. Julian Cristia & Pablo Ibarrarán & Santiago Cueto & Ana Santiago & Eugenio Severín, 2017. "Technology and Child Development: Evidence from the One Laptop per Child Program," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 295-320, July.
    6. 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.
    7. Fang Lai & Linxiu Zhang & Xiao Hu & Qinghe Qu & Yaojiang Shi & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2013. "Computer assisted learning as extracurricular tutor? Evidence from a randomised experiment in rural boarding schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 5(2), pages 208-231, June.
    8. Jason T. Kerwin & Rebecca L. Thornton, 2021. "Making the Grade: The Sensitivity of Education Program Effectiveness to Input Choices and Outcome Measures," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 251-264, May.
    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. Di Mo & Linxiu Zhang & Renfu Luo & Qinghe Qu & Weiming Huang & Jiafu Wang & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2014. "Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 300-323, September.
    11. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    12. Esther Duflo & Rema Hanna & Stephen P. Ryan, 2012. "Incentives Work: Getting Teachers to Come to School," American Economic Review, American Economic Association, vol. 102(4), pages 1241-1278, June.
    13. Achim Ahrens & Christian B. Hansen & Mark E Schaffer, 2018. "LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation," Statistical Software Components S458458, Boston College Department of Economics, revised 18 Sep 2024.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    20. Lai, Fang & Luo, Renfu & Zhang, Linxiu & Huang, Xinzhe & Rozelle, Scott, 2015. "Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing," Economics of Education Review, Elsevier, vol. 47(C), pages 34-48.
    21. 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.
    22. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    23. C. Kirabo Jackson & Elias Bruegmann, 2009. "Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 85-108, October.
    24. Sylvie Moulin & Michael Kremer & Paul Glewwe, 2009. "Many Children Left Behind? Textbooks and Test Scores in Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 112-135, January.
    25. Alwyn Young, 2019. "Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 557-598.
    26. 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.
    27. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    28. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    29. Isaac Mbiti & Karthik Muralidharan & Mauricio Romero & Youdi Schipper & Constantine Manda & Rakesh Rajani, 2019. "Inputs, Incentives, and Complementarities in Education: Experimental Evidence from Tanzania," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1627-1673.
    30. Mo, Di & Swinnen, Johan & Zhang, Linxiu & Yi, Hongmei & Qu, Qinghe & Boswell, Matthew & Rozelle, Scott, 2013. "Can One-to-One Computing Narrow the Digital Divide and the Educational Gap in China? The Case of Beijing Migrant Schools," World Development, Elsevier, vol. 46(C), pages 14-29.
    31. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    32. Araya, Roberto & Arias Ortiz, Elena & Bottan, Nicolas L. & Cristia, Julian P., 2019. "Does Gamification in Education Work?: Experimental Evidence from Chile," IDB Publications (Working Papers) 9697, Inter-American Development Bank.
    33. repec:hal:pseptp:halshs-02297703 is not listed on IDEAS
    34. repec:hal:journl:halshs-02297703 is not listed on IDEAS
    35. Barrera-Osorio, Felipe & Linden, Leigh L., 2009. "The use and misuse of computers in education : evidence from a randomized experiment in Colombia," Policy Research Working Paper Series 4836, The World Bank.
    36. Berry, James & Kannan, Harini & Mukherji, Shobhini & Shotland, Marc, 2020. "Failure of frequent assessment: An evaluation of India’s continuous and comprehensive evaluation program," Journal of Development Economics, Elsevier, vol. 143(C).
    37. Simon Heß, 2017. "Randomization inference with Stata: A guide and software," Stata Journal, StataCorp LP, vol. 17(3), pages 630-651, September.
    38. Joffe, Marshall M. & Ten Have, Thomas R. & Feldman, Harold I. & Kimmel, Stephen E., 2004. "Model Selection, Confounder Control, and Marginal Structural Models: Review and New Applications," The American Statistician, American Statistical Association, vol. 58, pages 272-279, November.
    39. 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.
    40. John P. Papay & Eric S. Taylor & John H. Tyler & Mary E. Laski, 2020. "Learning Job Skills from Colleagues at Work: Evidence from a Field Experiment Using Teacher Performance Data," American Economic Journal: Economic Policy, American Economic Association, vol. 12(1), pages 359-388, February.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    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. 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.
    4. NAKAMURO Makiko & ITO Hirotake, 2020. "The Effect of Computer Assisted Learning on Children's Cognitive and Noncognitive Skills: Evidence from a Randomized Experiment in Cambodia," Discussion papers 20074, Research Institute of Economy, Trade and Industry (RIETI).
    5. 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).
    6. 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).
    7. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    8. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    9. 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).
    10. 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).
    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. 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).
    13. Blimpo,Moussa Pouguinimpo & Gajigo,Ousman & Owusu,Solomon & Tomita,Ryoko & Xu,Yanbin, 2020. "Technology in the Classroom and Learning in Secondary Schools," Policy Research Working Paper Series 9288, The World Bank.
    14. 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).
    15. Julian Cristia & Pablo Ibarrarán & Santiago Cueto & Ana Santiago & Eugenio Severín, 2017. "Technology and Child Development: Evidence from the One Laptop per Child Program," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 295-320, July.
    16. Bet, German & Cristia, Julián P. & Ibarrarán, Pablo, 2014. "The Effects of Shared School Technology Access on Students Digital Skills in Peru," IZA Discussion Papers 7954, Institute of Labor Economics (IZA).
    17. 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.
    18. 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.
    19. Bin Tang & Te-Tien Ting & Chyi-In Wu & Yue Ma & Di Mo & Wei-Ting Hung & Scott Rozelle, 2020. "The Impact of Online Computer Assisted Learning at Home for Disadvantaged Children in Taiwan: Evidence from a Randomized Experiment," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    20. 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.

    More about this item

    Keywords

    Primary education; Computer-assisted learning; CAL; Field experiment; RCT; Africa; Angola;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:eee:deveco:v:164:y:2023:i:c:s0304387823001001. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/devec .

    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.