Probabilistic Models for Computerized Adaptive Testing: Experiments
January 28, 2016 Β· Declared Dead Β· π arXiv.org
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Authors
Martin Plajner, JiΕΓ Vomlel
arXiv ID
1601.07929
Category
cs.AI: Artificial Intelligence
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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