{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-07-13","version":"1"},"project_desc":{"authoring_entity":[{"name":"Carolina Lopez","affiliation":"World Bank","email":"carolina_lopez@worldbank.org"},{"name":"Carla Z. Glave","affiliation":"University of Wisconsin-Madison","email":"carla.glave@wisc.edu"},{"name":"Ezequiel Molina","affiliation":"World Bank","email":"molina@worldbank.org"},{"name":"Rom\u00e1n Andr\u00e9s Z\u00e1rate","affiliation":"University of Toronto","email":"ra.zarate@utoronto.ca"}],"title_statement":{"title":"Reproducibility package for Not Faster, But Better: Generative AI And Teacher Skill In Peru","idno":"RR_PER_2026_695"},"data_statement":"All data is temporarily embargoed by the authors. The data will be made available as licensed files through the World Bank Microdata Library.","software":[{"name":"Stata","version":"19.5 MP"}],"scripts":[{"title":"Reproducibility package for Not Faster, But Better: Generative AI And Teacher Skill In Peru","date":"2026-07","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_PER_2026_695","zip_package":"RR_PER_2026_695.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-07-13","abstract":"Generative AI is being deployed across the public sectors of developing countries on the premise that it makes workers faster. We test this in a randomized trial with 1,269 sixth-grade teachers across 390 public schools in Lima, Peru. A low-cost program\u2014a one-day training, an AI license, and eight months of light-touch follow-up\u2014raised adoption sharply yet saved teachers no time on any of their core tasks, with precisely estimated nulls throughout. The gains lay elsewhere: treated teachers wrote markedly better prompts, including on a rubric designed independently of the training, and were sharper at catching weak AI outputs. These gains were largest for older teachers, who began furthest behind, narrowing rather than widening skill gaps. Taken together, the results indicate that AI training primarily develops the skills needed to generate and evaluate high-quality AI outputs, rather than reducing the time teachers spend on their work.\n","geographic_units":[{"name":"Peru","code":"PER"}],"keywords":[{"name":"Generative Artificial Intelligence"},{"name":"Teachers"},{"name":"Teacher Training"},{"name":"Randomized Controlled Trial"},{"name":"Educational Technology"},{"name":"Prompt Quality"},{"name":"Primary Education"},{"name":"Peru"}],"topics":[{"id":"C93","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Field Experiments","parent_id":"C9"},{"id":" I21","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Analysis of Education","parent_id":"I2"},{"id":" J24","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Human Capital \u2022 Skills \u2022 Occupational Choice \u2022 Labor Productivity","parent_id":"J2"},{"id":" O33","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Technological Change: Choices and Consequences \u2022 Diffusion Processes","parent_id":"O3"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP)","title":"Not Faster, But Better: Generative AI And Teacher Skill In Peru"}],"language":[{"name":"English","code":"EN"}],"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.","license":[{"name":"MIT License","uri":"https:\/\/opensource.org\/license\/mit"},{"name":"World Bank IGO Rider","uri":"https:\/\/github.com\/worldbank\/metadata-editor\/blob\/main\/WB-IGO-RIDER.md"}],"contacts":[{"name":"Carolina Lopez","affiliation":"Development Research Group, World Bank","email":"carolina_lopez@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"technology_requirements":"Run time: ~ 5 minutes","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: INTEL(R) XEON(R) GOLD 6226R CPU @ 2.90 GHz (2 processors)\n\u2022 Memory available: 16.0 GB","reproduction_instructions":"To reproduce the findings in this paper, a replicator must:\n1. **Secure Access to Data:** Access the datasets not included in the package. See the Datasets section for more details.\n2. **Run the Package:**\n  - Update the working directory in line 38 of the do-file \"00_master.do\",  and run it.\n\nSince not all the data is included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.","datasets":[{"note":"Data collected March\u2013December 2025. Teacher-level analysis dataset combining school and teacher rosters, baseline survey, weekly Microsoft Copilot usage records, endline survey, and school-level diagnostic scores for 1,269 sixth-grade teachers across 390 public schools in Metropolitan Lima, Peru. The dataset has been de-identified; school, district, and teacher identifiers have been replaced with anonymous sequential codes. The data is currently under embargo and will become accessible once the paper is published in a peer-reviewed journal. File location: data\/ai4t_merged.dta.\n","name":"Not Faster, but Better: Generative AI and Teacher Skill in Peru 2025","access_type":"Data is embargoed until paper publication.","license_uri":"https:\/\/microdata.worldbank.org\/terms-of-use","license":"Licensed","citation":"Glave, C.Z., Lopez, C., Molina, E., and Z\u00e1rate, R.A. 2026. \"Not Faster, but Better: Generative AI and Teacher Skill in Peru\" [dataset]. AEA RCT Registry: AEARCTR-0016336. Forthcoming in the World Bank Microdata Library.","uri":"https:\/\/microdata.worldbank.org\/\/catalog\/8514"}]},"datacite":{"creators":[{"givenName":"Carolina","familyName":"Lopez","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04"}]},{"givenName":"Carla Z.","familyName":"Glave","nameType":"Personal","affiliation":[{"name":"University of Wisconsin-Madison","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org","affiliationIdentifier":"https:\/\/ror.org\/01y2jtd41"}]},{"givenName":"Ezequiel","familyName":"Molina","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Rom\u00e1n Andr\u00e9s","familyName":"Z\u00e1rate","nameType":"Personal","affiliation":[{"name":"University of Toronto","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org","affiliationIdentifier":"https:\/\/ror.org\/03dbr7087"}]}],"titles":[{"lang":"en","title":"Reproducibility package for Not Faster, But Better: Generative AI And Teacher Skill In Peru"},{"title":"RR_PER_2026_695","titleType":"Other"}],"publisher":"World Bank","publicationYear":"2026","types":{"resourceType":"Reproducibility package","resourceTypeGeneral":"Other"},"url":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/study\/RR_PER_2026_695","language":"en"},"tags":[{"tag":"DOI"},{"tag":"Forthcoming Data"},{"tag":"Open Code"}],"schematype":"script"}