Open Leaderboards for Benchmarking Automated Speech Recognition in Educational Contexts

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Team: Allison Koenecke, Rachel Slama, Rene Kizilcec, and Kirk Vanacore Overview: This project addresses a key K–12 AI infrastructure gap: ASR systems underperform for children and marginalized speakers. We will expand tutoring audio datasets, release a child-optimized ASR baseline, and create a public leaderboard to benchmark models using education-specific metrics. Subject Focus: K-12 math tutoring … Read more

Pipeline for Training Simulated Student Models with Reduced Human Data

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Team: Tammy Kwan and Brenden Lake Overview: This project develops a training pipeline for neural-network-based simulated student models. The approach combines synthetic reasoning traces generated by rule-based student models with human student reasoning data to substantially reduce the amount of human data required. Subject Focus: Fraction arithmetic within grades 6-8, with exploratory transfer to decimals, … Read more

A Benchmark for AI Identification of Science Misconceptions in Free-Form Student Responses

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Team: Richard Tibbles, Jamie Alexandre Overview: Science misconception research spans decades but isn’t operationalized for classroom use. Three public goods, all openly licensed: a benchmark for identifying science misconceptions in free-form student responses, a structured dataset, and reference classifiers for classroom devices. Subject Focus: Grades 6-12 Earth, Life, and Physical sciences Targeted Universalism Focus: The … Read more

Digital Promise Announces First Grantees of the K-12 AI Infrastructure Program

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Originally posted on By Digital Promise Blog on June 29, 2026 Digital Promise, alongside core partners Learning Data Insights, DrivenData, the Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE, today announced the first grant recipients of the K-12 AI Infrastructure Program, a new $26 million multi-year initiative to improve how artificial intelligence … Read more

Formative Assessment and Public Goods for AI in Education

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Author: K-12 AI Infrastructure Program Team  Download a PDF copy of this Formative Assessment page Definition Formative assessment is a key aspect of many applications of AI to education. Through production of public goods (as defined in the Request for Proposals), the K-12 AI Infrastructure program seeks to aid developers of AI-enabled products and services. … Read more

Building the Future of EdTech: 5 Essential Reads from The Learning Agency

Building high-quality AI-enabled edtech requires an adaptive understanding of open licensing, structured pipelines that involve humans, and leveraging the open-source benchmarks, datasets, and models already available to the community. If you are looking to learn more about building more responsible and effective AI-enabled edtech for education, here are resources from The Learning Agency to explore: … Read more

Request for Proposals #1 – Formative Assessment

RFP Overview Download the RFP as a PDF Formative Assessment and Public Goods for AI in Education Frequently Asked Questions         Notice: Award decisions for RFP #1 were emailed on May 18th. Please check your personal (and institutional) spam filters for this message. If you did not recieve an email, please reach … Read more

Sandpiper for Education

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Sandpiper is a new open-source annotation app developed by the National Tutoring Observatory (NTO) to help researchers, educators, and organizations analyze tutoring interactions at scale. Learn more: Sandpiper Launch Recording