IDEAS home Printed from https://ideas.repec.org/p/ude/wpaper/0226.html

Plataformas Digitales y Aprendizaje: Evidencia del uso de CREA en la Educación Primaria Uruguaya

Author

Listed:
  • Javier Valente

Abstract

Since its creation in 2007, and particularly during the context of school closures caused by the COVID-19 pandemic, Ceibal (Uruguay's state center for educational innovation with digital technologies) has established itself as a key actor in the national educational system. To promote the integration of technology into education, Ceibal has developed various learning platforms, most notably CREA. It is a learning management system (LMS) available to students and teachers in the public education system, offering a collaborative virtual environment that facilitates interaction, resource sharing, and educational content management. This study evaluates the effect of CREA usage on academic performance in reading and mathematics among public primary school students in Uruguay. Longitudinal data from Aristas standardized assessments are used, supplemented by administrative records of platform usage. The empirical strategy is based on the estimation of value-added and panel models, allowing for controls over individual characteristics, contextual factors, and students' prior academic performance. The results indicate that higher CREA usage is significantly associated with better academic performance in both assessed areas, suggesting that the platform can play a relevant role in improving learning outcomes.

Suggested Citation

  • Javier Valente, "undated". "Plataformas Digitales y Aprendizaje: Evidencia del uso de CREA en la Educación Primaria Uruguaya," Documentos de Trabajo (working papers) 0226, Department of Economics - dECON.
  • Handle: RePEc:ude:wpaper:0226
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/20.500.12008/54357
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Contini, Dalit & Di Tommaso, Maria Laura & Muratori, Caterina & Piazzalunga, Daniela & Schiavon, Lucia, 2021. "The COVID-19 Pandemic and School Closure: Learning Loss in Mathematics in Primary Education," IZA Discussion Papers 14785, IZA Network @ LISER.
    2. 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.
    3. Rebecca Jack & Clare Halloran & James Okun & Emily Oster, 2023. "Pandemic Schooling Mode and Student Test Scores: Evidence from US School Districts," American Economic Review: Insights, American Economic Association, vol. 5(2), pages 173-190, June.
    4. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    5. repec:mpr:mprres:7330 is not listed on IDEAS
    6. Jesse Rothstein, 2009. "Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables," Education Finance and Policy, MIT Press, vol. 4(4), pages 537-571, October.
    7. 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.
    8. repec:mpr:mprres:7333 is not listed on IDEAS
    9. Sass, Tim R. & Semykina, Anastasia & Harris, Douglas N., 2014. "Value-added models and the measurement of teacher productivity," Economics of Education Review, Elsevier, vol. 38(C), pages 9-23.
    10. 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.
    11. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    12. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    13. De Melo, Gioia & Machado, Alina & Miranda, Alfonso, 2014. "The Impact of a One Laptop per Child Program on Learning: Evidence from Uruguay," IZA Discussion Papers 8489, IZA Network @ LISER.
    14. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    15. Josh Kinsler, 2012. "Assessing Rothstein's critique of teacher value‐added models," Quantitative Economics, Econometric Society, vol. 3(2), pages 333-362, July.
    16. 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.
    17. João Pedro & Amer Hasan & Diana Goldemberg & Koen Geven & Syedah Aroob Iqbal, 2021. "Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes: A Set of Global Estimates [Tackling Inequity in Education during and after COVID-19]," The World Bank Research Observer, World Bank, vol. 36(1), pages 1-40.
    18. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    19. repec:mpr:mprres:6181 is not listed on IDEAS
    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. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    2. Sanchis-Guarner, Rosa & Montalbán, José & Weinhardt, Felix, 2025. "Home broadband and human capital formation," Economics of Education Review, Elsevier, vol. 108(C).
    3. 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).
    4. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    5. 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.
    6. Yue Ma & Robert Fairlie & Prashant Loyalka & Scott Rozelle, 2024. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer-Assisted Learning in China," Economic Development and Cultural Change, University of Chicago Press, vol. 72(4), pages 1923-1962.
    7. Hull, Marie C. & Duch, Katherine, 2017. "One-To-One Technology and Student Outcomes," IZA Discussion Papers 10886, IZA Network @ LISER.
    8. Godstime Osekhebhen Eigbiremolen, 2020. "Estimating Private School Premium for Primary School Children in Ethiopia: Evidence from Individual-level Panel Data," Progress in Development Studies, , vol. 20(1), pages 26-44, January.
    9. Nirav Mehta, 2014. "Targeting the Wrong Teachers: Estimating Teacher Quality for Use in Accountability Regimes," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20143, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    10. Hong, Junjie & Liu, Wanlin & Zhang, Qing, 2024. "Closing the digital divide: The impact of teachers’ ICT use on student achievement in China," Journal of Comparative Economics, Elsevier, vol. 52(3), pages 697-713.
    11. 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.
    12. Hall, Caroline & Lundin, Martin, 2024. "Technology in the classroom: Personal computers and learning outcomes in primary school," Economics of Education Review, Elsevier, vol. 100(C).
    13. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.
    14. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    15. Stacy, Brian & Guarino, Cassandra & Wooldridge, Jeffrey, 2018. "Does the precision and stability of value-added estimates of teacher performance depend on the types of students they serve?," Economics of Education Review, Elsevier, vol. 64(C), pages 50-74.
    16. Vargas-Montoya, Luis & Gimenez, Gregorio & Fernández-Gutiérrez, Marcos, 2023. "ICT use for learning and students' outcomes: Does the country's development level matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    17. Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
    18. 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.
    19. 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.
    20. Naven, Matthew, 2019. "Human-Capital Formation During Childhood and Adolescence: Evidence from School Quality and Postsecondary Success in California," MPRA Paper 97716, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:ude:wpaper:0226. 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: Andrea Doneschi or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/derauuy.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.