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PRWP

Reproducibility package for From Chalkboards To Chatbots: Evaluating The Impact Of Generative Ai On Learning Outcomes In Nigeria

2025
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Reference ID
RR_NGA_2025_349
Author(s)
Martin Elias De Simone, Federico Hernan Tiberti, Maria Barron Rodriguez, Federico Manolio, Wuraola Mosuro, Eliot Jolomi Dikoru
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Dec 11, 2025
Last modified
Dec 11, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Overview

    Abstract

    This study evaluates the impact of a program leveraging large language models (LLMs) for virtual tutoring in secondary education in Nigeria. Using a randomized controlled trial, the program deployed Microsoft Copilot (powered by GPT-4) to support first-year senior secondary students in English language learning over six weeks. The intervention demonstrated significant improvements of 0.31 standard deviations on an assessment that included English topics aligned with the Nigerian curriculum, knowledge of artificial intelligence and digital skills. The effect on English, the main outcome of interest, was of 0.23 standard deviations. Cost-effectiveness analysis revealed substantial learning gains, equating to 1.5 to 2 years of 'business-as-usual' schooling, situating the intervention among some of the most cost-effective programs to improve learning outcomes. An analysis of heterogeneous effects shows that while the program benefits students across the baseline ability distribution, the largest effects are for female students, and those with higher initial academic performance. The findings highlight that AI-powered tutoring, when designed and used properly, can have transformative impacts in the education sector in low-resource settings.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/419/download/1185/README.pdf
    Reproducibility package for From Chalkboards To Chatbots: Evaluating The Impact Of Generative Ai On Learning Outcomes In Nigeria
    File name
    RR_NGA_2025_349
    Zip package
    RR_NGA_2025_349.zip
    Title
    Reproducibility package for From Chalkboards To Chatbots: Evaluating The Impact Of Generative Ai On Learning Outcomes In Nigeria
    Date
    2025-12
    Dependencies
    R dependencies are listed in the file renv.lock.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    R
    Name
    R
    Version
    4.5.1

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise, version 24H2
    • Processor: Intel(R) Core(TM) Ultra 7 165U (2.10 GHz)
    • Memory available: 32.0 GB

    Technology requirements

    Runtime: 5 minutes

    Reproduction instructions
    1. Open the RStudio project file "replication_package.Rproj".
    2. Run the script "main.R".

    Data

    Datasets
    Data for From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
    Name
    Data for From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
    Note
    Source: World Bank. Data was collected by the authors during May-July 2024. Data contains the school treatment/control assignment, students' learning evaluations, and students' attendance and performance during regular classroom exams. A detailed and more documented version of this dataset is forthcoming in the World Bank Microdata Library. Data files: "assessment_with_key.csv", "attendance_clean.csv", "baseline_with_key.csv", "endline_with_key.csv", "list_tc.csv", "performance_score_merging_sheet.csv".
    Access policy
    Data is forthcoming in the World Bank Microdata Library and included in the reproducibility package.
    Citation
    De Simone, Martin; Tiberti, Federico; Barron Rodriguez, Maria; Manolio, Federico; Mosuro, Wuraola; and Eliot J. Dikoru. 2025. "Data for From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria [dataset]". Forthcoming in the World Bank Microdata Library.
    Data statement

    Data is forthcoming in the World Bank Microdata Library and included in the reproducibility package.

    Description

    Output
    From Chalkboards To Chatbots: Evaluating The Impact Of Generative Ai On Learning Outcomes In Nigeria
    Type
    Working Paper
    Title
    From Chalkboards To Chatbots: Evaluating The Impact Of Generative Ai On Learning Outcomes In Nigeria
    Description
    Policy Research Working Papers (PRWP) 11125
    URL
    http://documents.worldbank.org/curated/en/099548105192529324
    DOI
    https://doi.org/10.1596/1813-9450-11125
    License
    CC BY 3.0 IGO
    License URL
    https://creativecommons.org/licenses/by/3.0/igo/
    Authors
    Author Affiliation Email
    Martin Elias De Simone World Bank mdesimone@worldbank.org
    Federico Hernan Tiberti World Bank ftiberti@worldbank.org
    Maria Barron Rodriguez World Bank mbarronrodriguez@worldbank.org
    Federico Manolio World Bank fmanolio@worldbank.org
    Wuraola Mosuro World Bank wmosuro@worldbank.org
    Eliot Jolomi Dikoru World Bank edikoru@worldbank.org
    Date of production

    2025-12-05

    Scope and coverage

    Geographic locations
    Location Code
    Nigeria NGA
    Keywords
    Large-Language Models Adaptive Learning Artificial Intelligence Education Technology Secondary Education Teaching At The Right Level
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C93 Field Experiments C9 Journal of Economic Literature (JEL)
    I21 Analysis of Education I2 Journal of Economic Literature (JEL)
    J24 Human Capital • Skills • Occupational Choice • Labor Productivity J2 Journal of Economic Literature (JEL)
    O15 Human Resources • Human Development • Income Distribution • Migration O1 Journal of Economic Literature (JEL)
    O33 Technological Change: Choices and Consequences • Diffusion Processes O3 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Martin Elias De Simone World Bank mdesimone@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-12-05

    Document version

    1

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