2 papers
stat.ME2026
A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
Steven W. Nydick, Manqian Liao, J. R. Lockwood
We describe a Bayesian multidimensional explanatory IRT model, and an associated Markov Chain Monte Carlo (MCMC) estimation procedure and the corresponding development of calibrati…
cs.CY2025
Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
Jill Burstein, Ramsey Cardwell, Ping-Ling Chuang +2
Practice tests for high-stakes assessment are intended to build test familiarity, and reduce construct-irrelevant variance which can interfere with valid score interpretation. Gene…