Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

Karthik Muralidharan, Abhijeet Singh and Alejandro Ganimian ()

American Economic Review, 2019, vol. 109, issue 4, 1426-60

Abstract: We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6 sigma and 0.39 sigma respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed, technology-aided instruction programs can sharply improve productivity in delivering education.

JEL-codes: I21 I26 I28 J24 O15 (search for similar items in EconPapers)
Date: 2019
Note: DOI: 10.1257/aer.20171112
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (104)

Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/aer.20171112 (application/pdf)
https://www.aeaweb.org/content/file?id=9253 (application/zip)
https://www.aeaweb.org/articles/attachments?retrie ... xvlgUj8atqypG_LriJ2O (application/pdf)
https://www.aeaweb.org/articles/attachments?retrie ... 0qWvER-9zVFG7d3HdfRJ (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
Working Paper: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India (2017)
Working Paper: Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India (2016)
Working Paper: Disrupting education? Experimental evidence on technology-aided instruction in India (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aea:aecrev:v:109:y:2019:i:4:p:1426-60

Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions

Access Statistics for this article

American Economic Review is currently edited by Esther Duflo

More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().