How In-School Supervised Ed-Tech Support Produces Massive Learning Gains: A Khan Academy Field Experiment in India. Working Paper 34683

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Title: How In-School Supervised Ed-Tech Support Produces Massive Learning Gains: A Khan Academy Field Experiment in India. Working Paper 34683
Language: English
Authors: Philip Oreopoulos, Oliver Keyes-Krysakowski, Deepak Agarwal, National Bureau of Economic Research (NBER)
Source: National Bureau of Economic Research. 2026.
Availability: National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org
Peer Reviewed: N
Publication Date: 2026
Sponsoring Agency: Abdul Latif Jameel Poverty Action Lab (J-PAL)
Smith Richardson Foundation
Document Type: Reports - Research
Education Level: Junior High Schools
Middle Schools
Secondary Education
Descriptors: Foreign Countries, Electronic Learning, Computer Uses in Education, Computer Assisted Instruction, Educational Technology, Academic Achievement, Achievement Gains, Educational Experiments, Middle School Students, Program Implementation, Fidelity, Internet, Intervention, Mathematics Achievement, Web Based Instruction
Geographic Terms: India
Abstract: Computer-assisted learning (CAL) platforms frequently underperform at scale not because the technology is ineffective, but because schools face substantial implementation frictions: teachers and administrators must overcome initial technical hurdles, reorganize instructional routines, manage competing scheduling pressures, and do so while uncertain about the technology's effectiveness--conditions that often lead to low and unproductive student engagement. This study explores whether strengthening implementation structure can raise both the quantity and quality of CAL usage in 83 residential government middle schools in Uttar Pradesh, India and, in turn, learning gains. All schools had access to Khan Academy, but randomly selected treatment schools received on-the-ground lab-in-charges whose sole responsibility was to ensure high-fidelity implementation by securing reliable connectivity, simplifying student rostering, protecting weekly practice time, supervising in-class use, coordinating content with teachers, and monitoring progress. The intervention increased platform usage from 7.2 to 47.4 minutes per week. Mathematics achievement rose by almost half a standard deviation over 31 weeks, with gains broad-based across achievement levels and question difficulty. These results show that the central constraint on effective and scalable CAL is not technology or content, but the presence of organizational structures that ensure sustained, productive instructional use.
Abstractor: As Provided
Entry Date: 2026
Access URL: https://www.nber.org/papers/w34683
Accession Number: ED679648
Database: ERIC
FullText Text:
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  Data: How In-School Supervised Ed-Tech Support Produces Massive Learning Gains: A Khan Academy Field Experiment in India. Working Paper 34683
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  Data: National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org
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  Data: Abdul Latif Jameel Poverty Action Lab (J-PAL)<br />Smith Richardson Foundation
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
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  Data: Computer-assisted learning (CAL) platforms frequently underperform at scale not because the technology is ineffective, but because schools face substantial implementation frictions: teachers and administrators must overcome initial technical hurdles, reorganize instructional routines, manage competing scheduling pressures, and do so while uncertain about the technology's effectiveness--conditions that often lead to low and unproductive student engagement. This study explores whether strengthening implementation structure can raise both the quantity and quality of CAL usage in 83 residential government middle schools in Uttar Pradesh, India and, in turn, learning gains. All schools had access to Khan Academy, but randomly selected treatment schools received on-the-ground lab-in-charges whose sole responsibility was to ensure high-fidelity implementation by securing reliable connectivity, simplifying student rostering, protecting weekly practice time, supervising in-class use, coordinating content with teachers, and monitoring progress. The intervention increased platform usage from 7.2 to 47.4 minutes per week. Mathematics achievement rose by almost half a standard deviation over 31 weeks, with gains broad-based across achievement levels and question difficulty. These results show that the central constraint on effective and scalable CAL is not technology or content, but the presence of organizational structures that ensure sustained, productive instructional use.
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  Data: 2026
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  Data: <link linkTarget="URL" linkTerm="https://www.nber.org/papers/w34683" linkWindow="_blank">https://www.nber.org/papers/w34683</link>
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  Data: ED679648
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED679648
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      – Text: English
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Computer Uses in Education
        Type: general
      – SubjectFull: Computer Assisted Instruction
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      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Achievement Gains
        Type: general
      – SubjectFull: Educational Experiments
        Type: general
      – SubjectFull: Middle School Students
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      – SubjectFull: Program Implementation
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      – SubjectFull: Fidelity
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      – SubjectFull: Internet
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      – SubjectFull: Intervention
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      – SubjectFull: Mathematics Achievement
        Type: general
      – SubjectFull: Web Based Instruction
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: How In-School Supervised Ed-Tech Support Produces Massive Learning Gains: A Khan Academy Field Experiment in India. Working Paper 34683
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            NameFull: Philip Oreopoulos
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              Y: 2026
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