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.
Cite
@article{arxiv.1601.07929,
title = {Probabilistic Models for Computerized Adaptive Testing: Experiments},
author = {Martin Plajner and Jiří Vomlel},
journal= {arXiv preprint arXiv:1601.07929},
year = {2016}
}