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The analysis of response patterns on IRT ability estimation methods in computerized adaptive test

dc.citation.epage722en_US
dc.citation.spage721en_US
dc.contributor.authorChen, Deng-Jyien_US
dc.contributor.authorLai, Ah-Furen_US
dc.contributor.authorMao, Chia-Chien_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2014-12-08T15:17:18Z
dc.date.available2014-12-08T15:17:18Z
dc.date.issued2007en_US
dc.description.abstractThe main purpose of the study was to compare four ability estimation engines (which are OWEN, EAP, MLE, and WLE) regarding the convergent state and divergent state, and dynamic behaviors under different types of test-taker's response pattern in CAT.en_US
dc.identifier.doi10.1109/ICALT.2007.237en_US
dc.identifier.isbn978-0-7695-2916-5en_US
dc.identifier.journal7th IEEE International Conference on Advanced Learning Technologies, Proceedingsen_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICALT.2007.237en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/12579
dc.identifier.wosnumberWOS:000249886800204
dc.language.isoen_USen_US
dc.titleThe analysis of response patterns on IRT ability estimation methods in computerized adaptive testen_US
dc.typeArticleen_US

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