Název: Question Selection Methods for Adaptive Testing with Bayesian Networks
Autoři: Plajner, Martin ; Magauina, A. ; Vomlel, Jiří
Typ dokumentu: Příspěvky z konference
Konference/Akce: The 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Pardubice (CZ), 20170917
Rok: 2017
Jazyk: eng
Abstrakt: The performance of Computerized Adaptive Testing systems, which are used for testing of human knowledge, relies heavily on methods selecting correct questions for tested students. In this article we propose three different methods selecting questions with Bayesian networks as students’ models. We present the motivation to use these methods and their mathematical description. Two empirical datasets, paper tests of specific topics in mathematics and Czech language for foreigners, were collected for the purpose of methods’ testing. All three methods were tested using simulated testing procedure and results are compared for individual methods. The comparison is done also with the sequential selection of questions to provide a relation to the classical way of testing. The proposed methods are behaving much better than the sequential selection which verifies the need to use a better selection method. Individually, our methods behave differently, i.e., select different questions but the success rate of model’s predictions is very similar for all of them. This motivates further research in this topic to find an ordering between methods and to find the best method which would provide the best possible selections in computerized adaptive tests.
Klíčová slova: Bayesian Networks; Computerized Adaptive Testing; Question Selection Methods
Číslo projektu: GA16-12010S (CEP), SGS17/198/OHK4/3T/14 (CEP)
Poskytovatel projektu: GA ČR, GA ČTU
Zdrojový dokument: Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, ISBN 978-80-7464-932-5

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: http://library.utia.cas.cz/separaty/2019/MTR/plajner-0506836.pdf
Původní záznam: http://hdl.handle.net/11104/0297993

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-399150


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav teorie informace a automatizace
Konferenční materiály > Příspěvky z konference