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Bayesian network approach to computerized adaptive testing

Authors
Kim, Kyung SooChoi, Yong Suk
Issue Date
Jul-2012
Publisher
Science and Engineering Research Support Society
Keywords
Bayesian network; Computerized adaptive testing; EM algorithm
Citation
International Journal of Smart Home, v.6, no.3, pp.75 - 82
Indexed
SCOPUS
Journal Title
International Journal of Smart Home
Volume
6
Number
3
Start Page
75
End Page
82
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/165105
ISSN
1975-4094
Abstract
For the personalized learning, a good testing method, which can effectively estimate a learner's proficiency, is required. In this paper, we propose a novel testing method, Bayesian network-based approach to Computerized Adaptive Testing (CAT). Our novel approach can estimate proficiency of the examinee effectively and efficiently because it reflects complicated relationships between all items and their categories, and can estimate detailed proficiency about each specific category. In experimental results, we show that our approach can improve accuracy and speed of estimating examinee's proficiency as compared with classical testing methods like paper-based test and conventional IRT-based CAT.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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