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Conference Paper: A computerized adaptive testing exposure method for cognitively-based multiple- choice assessment

TitleA computerized adaptive testing exposure method for cognitively-based multiple- choice assessment
Authors
Issue Date2018
Citation
The Annual Meeting of the National Council on Measurement in Education (NCME), New York, NY, USA, 12-16 April 2018 How to Cite?
AbstractJensen-Shannon divergence item selection index produced promising results with polytomous data, but an uneven usage of the item pool in CD-CAT. In this paper, different item exposure methods including the modified progressive, modified proportional, and item-eligibility methods are compared under the multiple-choice deterministic inputs, noisy 'and' gate model setting.
DescriptionGraduate Student Research Session, J10 - GSIC Graduate Student Poster Session 2
Persistent Identifierhttp://hdl.handle.net/10722/259815

 

DC FieldValueLanguage
dc.contributor.authorYigit, H-
dc.contributor.authorSorrel, MA-
dc.contributor.authorBarada, JR-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2018-09-03T04:14:28Z-
dc.date.available2018-09-03T04:14:28Z-
dc.date.issued2018-
dc.identifier.citationThe Annual Meeting of the National Council on Measurement in Education (NCME), New York, NY, USA, 12-16 April 2018-
dc.identifier.urihttp://hdl.handle.net/10722/259815-
dc.descriptionGraduate Student Research Session, J10 - GSIC Graduate Student Poster Session 2-
dc.description.abstractJensen-Shannon divergence item selection index produced promising results with polytomous data, but an uneven usage of the item pool in CD-CAT. In this paper, different item exposure methods including the modified progressive, modified proportional, and item-eligibility methods are compared under the multiple-choice deterministic inputs, noisy 'and' gate model setting.-
dc.languageeng-
dc.relation.ispartofNational Council on Measurement in Education (NCME) Annual Meeting, 2018-
dc.titleA computerized adaptive testing exposure method for cognitively-based multiple- choice assessment-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros289057-

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