2 papers
stat.AP2026
Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM
James Sharpnack, Kai-Ling Lo
High-stakes computerized adaptive tests (CATs) must continually calibrate new items in their item bank. When an item is new, few responses are available, so item parameter estimate…
stat.ML2024
BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
James Sharpnack, Kevin Hao, Phoebe Mulcaire +4
In this paper, we present a complete framework for quickly calibrating and administering a robust large-scale computerized adaptive test (CAT) with a small number of responses. Cal…