https://9p7pzq3jbl.execute-api.us-east-1.amazonaws.com/ProdStage Skip to main content
Publications
Advanced Search

View metadata

dc.titleGenerative AI in Education: A Framework for Leveraging Digital Tools in Latin American Classrooms
dc.contributor.authorLevy Yeyati, Eduardo
dc.contributor.authorRobano, Virginia
dc.contributor.authorPereiro, Emiliano
dc.contributor.authorPorto, Camila
dc.contributor.authorKoleszar, Víctor
dc.contributor.orgunitDepartment of Research and Chief Economist
dc.coverageLatin America
dc.date.available2025-12-04T00:12:00
dc.date.issue2025-12-04T00:12:00
dc.description.abstractGenerative AI (GenAI) is entering classrooms with both promise and uncertainty. This paper develops a framework that organizes instructional uses of GenAI into four functions: content preparation, explanation, practice and feedback, and motivation and exploration. Using evidence from Uruguay's Ceibal program, including platform data and observation from classroom sessions in a computational- thinking program, we show that patterns of use are not neutral. Female teachers and students engage more with tools for preparation and structured practice, while their male counterparts dominate exploratory platforms. These trajectories risk reinforcing inequality by channeling GenAI toward automation for some and augmentation for others. To test an alternative path, we design a randomized controlled trial that integrates a chatbot for explanation and feedback, explicitly structured for teacher mediation. The paper concludes with implications for Latin American education systems, and highlights that deliberate design and phased implementation are essential to ensure GenAI heightens inclusion rather than disparity.
dc.format.extent41
dc.identifier.doihttp://dx.doi.org/10.18235/0013853
dc.identifier.urlhttps://publications.iadb.org/publications/english/document/Generative-AI-in-Education-A-Framework-for-Leveraging-Digital-Tools-in-Latin-American-Classrooms.pdf
dc.language.isoen
dc.publisherInter-American Development Bank
dc.subjectScience and Technology
dc.subjectArtificial Intelligence
dc.subjectDigital Technology
dc.subjectEquality
dc.subjectEducation
dc.subjectConflicts Resolution
dc.subjectGender
dc.subjectWomen
dc.subject.jelcodeI21 - Analysis of Education
dc.subject.jelcodeJ16 - Economics of Gender • Non-labor Discrimination
dc.subject.jelcodeO33 - Technological Change: Choices and Consequences • Diffusion Processes
dc.subject.jelcodeJ24 - Human Capital • Skills • Occupational Choice • Labor Productivity
dc.subject.jelcodeD63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
dc.subject.keywordsartificial intelligence;Education;ChatGPT;Complimentarity;LLM;Automated Tutor;Chatbot;Computational Thinking;Economics of Gender;Nonlabor Discrimination;Occupational Choice
dc.typeTechnical Notes
idb.identifier.pubnumberIDB-TN-03199
idb.operationRG-K1198
Return to Publication