Probabilistic Models for Computerized Adaptive Testing: Experiments
  This paper follows previous research we have already performed in the area of Bayesian networks models for CAT. We present models using Item Response Theory (IRT - standard CAT method), Bayesian networks, and neural networks. We conducted simulated CAT tests on empirical data. Results of these tests are presented for each model separately and compared. 
Martin Plajner and Ji\v{r}\'i Vomlel
cs.AI