Grantee

Team: Dr. Hari Subramonyam, Mayank Sharma, and Dr. Roy Pea Overview: KB-TutorBench is a dataset and benchmark for training and evaluating AI tutors that support knowledge-building and formative assessment, using 6,000 annotated tutoring dialogues from simulated and real classroom interactions. Subject Focus: Earth Science, Chemistry, Biology, ELA, and History across grades K-5, 6-8, and 9-12. … Read more

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

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

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