Abstract
In this paper we propose the use of Bayesian Networks as a theoretical framework for Computerized Adaptive Tests. To this end, we develop the Bayesian Network that supports the Adaptive Testing Algorithm, that is, we define what variables should be taken into account, what kind of relationships should be established among them, and what are the required parameters. As parameter specification is one of the most difficult problems when using Bayesian Networks, we suggest the use of several simplifications. By using such simplifications, the required conditional probabilities can be obtained in a relatively simple way.
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© 2000 Kluwer Academic Publishers
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Millán, E., Trella, M., Pérez-de-la-Cruz, J., Conejo, R. (2000). Using Bayesian Networks in Computerized Adaptive Tests. In: Ortega, M., Bravo, J. (eds) Computers and Education in the 21st Century. Springer, Dordrecht. https://doi.org/10.1007/0-306-47532-4_20
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DOI: https://doi.org/10.1007/0-306-47532-4_20
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-6577-8
Online ISBN: 978-0-306-47532-0
eBook Packages: Springer Book Archive