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.
