Grantee

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