2025 Ann Dyslexia
(Not so) universal literacy screening: a survey of educators reveals variability in implementation
Ozernov-Palchik O, Elizee Z, Catania F, Hacikamiloglu M, Shattuck-Hufnagel S, Petscher Y, Ghosh S, Gabrieli JDE
ReadNet — ML for verbal literacy screening
Harvard University gift (Schmidt Futures & Citadel; Site Co-I) + MIT GenAI Consortium
Manual scoring of verbal literacy screeners is time-consuming and unreliable; ReadNet is an ML approach to help teachers quickly and reliably identify children needing early-literacy intervention. The project ran the DrivenData "Goodnight Moon, Hello Early Literacy Screening" public competition in 2024–2025 (winning AUROC 0.97 vs Whisper baseline 0.59), with a voice-cloning anonymization scheme for data release.
- child-development-education
- ml-nlp-knowledge
- speech-voice-biomarkers
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2 papers associated with this project
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- 2026 Preprint
Large Language Model–Generated Tutoring Responses Receive Higher Ratings but Are Penalized by Source-Based Evaluation Bias
Ola Ozernov-Palchik, Fabio Catania, John D. E. Gabrieli, Satrajit S Ghosh
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