{"pk":50469,"title":"Kalulu: Evidence-Based Adapted Phonics Instruction for Literacy Across Languages","subtitle":null,"abstract":"Ensuring that all children have access to evidence-based reading instruction requires scalable solutions that respect linguistic diversity (Castles et al., 2018). Kalulu is a fully automated system designed to develop phonics-based reading programs for any symbol-to-sound language. Grounded in cognitive science, it generates instructional materials—including books, paper-based games, and digital applications—tailored to the phonological structure of each language. Leveraging AI, Kalulu analyzes grapheme–phoneme correspondences to build a progression of two mappings per week, enabling 100% decodable texts while integrating reading, writing, and vocabulary instruction.\n\nInitially tested in France with over 1,000 children, Kalulu is now being deployed in Brazil (1,000+), Colombia (500+), and Mayotte (300+), with ongoing expansion into Argentina. This poster outlines the automation pipeline, field implementation strategies, and current cross-linguistic research in collaboration with local school districts and NGOs. We aim to show how cognitive science can accelerate the global scaling of evidence-based literacy instruction—providing free and open-access learning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Education; Instruction and teaching; Language Comprehension; Learning; Phonology; Reading; Classroom studies; Comparative Studies; Cross-cultural analysis; Cross-linguistic analysis; Field studies"}],"section":"Member Abstracts with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/56h8n67j","frozenauthors":[{"first_name":"Cassandra","middle_name":"","last_name":"Potier-Watkins","name_suffix":"","institution":"UniversitŽ Paris Sciences Lettres (PSL)","department":""},{"first_name":"Katerina","middle_name":"","last_name":"Lukasova","name_suffix":"","institution":"Federal University of ABC","department":""},{"first_name":"Melina","middle_name":"","last_name":"Vladisauskas","name_suffix":"","institution":"Neurospin","department":""},{"first_name":"Juan","middle_name":"C","last_name":"Valle-Lisboa","name_suffix":"","institution":"Universidad de la República","department":""},{"first_name":"Stanislas","middle_name":"","last_name":"Dehaene","name_suffix":"","institution":"Coll�ge de France","department":""},{"first_name":"Catalina Diana","middle_name":"","last_name":"Contreras Ceballos","name_suffix":"","institution":"World Bank","department":""},{"first_name":"Lubineau","middle_name":"","last_name":"Marie","name_suffix":"","institution":"PSL Coll�ge de France","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T12:00:00-06:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/50469/galley/38431/download/"}]}