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Are Public Schools Ready to Integrate Math Classes with Khan Academy?

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  • Ferman, Bruno
  • Finamor, Lucas
  • Lima, Lycia

Abstract

We study the impacts of the program Khan Academy in Schools using a randomized control trial in Brazilian primary public schools. Once a week, teachers would take their students to the school's computer lab and teach using the Khan Academy platform, instead of their standard math classes. We find positive effects of the program on measures of attitudes towards math, which were not translated to a positive average treatment effect on students' math proficiency. We also explore treatment heterogeneity by quality of implementation, suggesting that the program can have positive effects when there are no infrastructure problems and when the implementation modality is based on one computer per student. These results highlight the implementation challenges associated with educational tech-interventions in developing countries.

Suggested Citation

  • Ferman, Bruno & Finamor, Lucas & Lima, Lycia, 2019. "Are Public Schools Ready to Integrate Math Classes with Khan Academy?," MPRA Paper 94736, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94736
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    References listed on IDEAS

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    1. 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.
    2. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    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. 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.
    5. 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.
    6. Glewwe, P. & Muralidharan, K., 2016. "Improving Education Outcomes in Developing Countries," Handbook of the Economics of Education,, Elsevier.
    7. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
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    Cited by:

    1. Ferman, Bruno & Lima, Lycia & Riva, Flávio, 2021. "Artificial Intelligence, Teacher Tasks and Individualized Pedagogy," SocArXiv qw249, Center for Open Science.
    2. Ferman, Bruno & Lima, Lycia & Riva, Flavio, 2020. "Experimental Evidence on Artificial Intelligence in the Classroom," MPRA Paper 103934, University Library of Munich, Germany.

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    More about this item

    Keywords

    Education technology; personalized learning; productivity in education; randomized control trial;
    All these keywords.

    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

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