Probabilistic Models for Computerized Adaptive Testing: Experiments

January 28, 2016 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Martin Plajner, JiΕ™Γ­ 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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