Computerized adaptive testing and learning using Bayesian network

Citations

SCOPUS

1

초록

In this paper, we propose a novel CAT (Computerized Adaptive Testing) system based on Bayesian network. Our novel system makes good use of topology and probabilistic inference algorithm of Bayesian network to efficiently estimate proficiency of learner and also give an adaptive learning guide when needed. From several experiments, we identified that our system could considerably improve proficiency-estimation performance when compared with conventional CAT methods.

키워드

Adaptive learning guideBayesian networkComputerized adaptive testingAdaptive learningComputerized adaptive testingProbabilistic inferenceInference enginesUser interfacesBayesian networks
제목
Computerized adaptive testing and learning using Bayesian network
저자
Kim, Kyung SooChoi, Yong Suk
DOI
10.1145/2451176.2451215
발행일
2013-03
유형
Conference Paper
저널명
International Conference on Intelligent User Interfaces, Proceedings IUI
페이지
91 ~ 92