Publication: From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
dc.contributor.author | De Simone, Martin | |
dc.contributor.author | Tiberti, Federico | |
dc.contributor.author | Barron Rodriguez, Maria | |
dc.contributor.author | Manolio, Federico | |
dc.contributor.author | Mosuro, Wuraola | |
dc.contributor.author | Dikoru, Eliot Jolomi | |
dc.date.accessioned | 2025-05-20T14:35:17Z | |
dc.date.available | 2025-05-20T14:35:17Z | |
dc.date.issued | 2025-05-20 | |
dc.description.abstract | This study evaluates the impact of a program leveraging large language models 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 a significant improvement of 0.31 standard deviation 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 artificial intelligence-powered tutoring, when designed and used properly, can have transformative impacts in the education sector in low-resource settings. | en |
dc.identifier | http://documents.worldbank.org/curated/en/099548105192529324 | |
dc.identifier.uri | https://hdl.handle.net/10986/43212 | |
dc.language | English | |
dc.language.iso | en_US | |
dc.publisher | Washington, DC: World Bank | |
dc.relation.ispartofseries | Policy Research Working Paper; 11125 | |
dc.rights | CC BY 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/igo/ | |
dc.subject | LARGE-LANGUAGE MODELS | |
dc.subject | ADAPTIVE LEARNING | |
dc.subject | ARTIFICIAL INTELLIGENCE | |
dc.subject | EDUCATION TECHNOLOGY | |
dc.subject | SECONDARY EDUCATION | |
dc.subject | TEACHING AT THE RIGHT LEVEL | |
dc.title | From Chalkboards to Chatbots | en |
dc.title.subtitle | Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria | en |
dc.type | Working Paper | |
dspace.entity.type | Publication | |
okr.date.disclosure | 2025-05-20 | |
okr.date.lastmodified | 2025-05-19T17:05:16Z | en |
okr.doctype | Policy Research Working Paper | |
okr.doctype | Publications & Research | |
okr.docurl | http://documents.worldbank.org/curated/en/099548105192529324 | |
okr.guid | 099548105192529324 | |
okr.identifier.docmid | IDU-c09f40d8-9ff8-42dc-b315-591157499be7 | |
okr.identifier.doi | 10.1596/1813-9450-11125 | |
okr.identifier.externaldocumentum | 40014259 | |
okr.identifier.internaldocumentum | 40014259 | |
okr.identifier.report | WPS11125 | |
okr.import.id | 7399 | |
okr.imported | true | en |
okr.language.supported | en | |
okr.pdfurl | https://documents.worldbank.org/curated/en/099548105192529324/pdf/IDU-c09f40d8-9ff8-42dc-b315-591157499be7.pdf | en |
okr.region.administrative | Africa Western and Central (AFW) | |
okr.region.country | Nigeria | |
okr.sector | FY17 - Other Education,FY17 - Tertiary Education,FY17 - Secondary Education,FY17 - Primary Education,FY17 - Public Administration - Education | |
okr.sector | Education | |
okr.theme | FY17 - Student Assessment,FY17 - Disease Control,FY17 - Pandemic Response,FY17 - Jobs,FY17 - Access to Education,FY17 - Climate change,FY17 - Standards, Curriculum and Textbooks,FY17 - Adaptation,FY17 - Education Governance, School-Based Management,FY17 - Labor Market Policy and Programs,FY17 - Mitigation,FY17 - Youth Employment,FY17 - Education,FY17 - Skills Development,FY17 - Teachers | |
okr.theme | FY17 - Private Sector Development,FY17 - Human Development and Gender,FY17 - Environment and Natural Resource Management | |
okr.topic | Education::Education Indicators and Statistics | |
okr.topic | Social Protections and Labor::Work & Working Conditions | |
okr.topic | Social Protections and Labor::Skills Development and Labor Force Training | |
okr.topic | Science and Technology Development::Technology Innovation | |
okr.unit | HAWE3; HAEE1 | |
relation.isSeriesOfPublication | 26e071dc-b0bf-409c-b982-df2970295c87 | |
relation.isSeriesOfPublication.latestForDiscovery | 26e071dc-b0bf-409c-b982-df2970295c87 |
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