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{
    "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": "2025-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/50469/galley/38431/download/"
        }
    ]
}