A Model-Based Method for Content Validation of Automatically Generated Test Items
Xinxin Zhang and
Mark Gierl
Journal of Educational Issues, 2016, vol. 2, issue 2, 184202
Abstract:
The purpose of this study is to describe a methodology to recover the item model used to generate multiple-choice test items with a novel graph theory approach. Beginning with the generated test items and working backward to recover the original item model provides a model-based method for validating the content used to automatically generate test items. The methodology is demonstrated using items from a content area in medicine.
Date: 2016
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.macrothink.org/journal/index.php/jei/article/download/10040/8275 (application/pdf)
https://www.macrothink.org/journal/index.php/jei/article/view/10040 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mth:jeijnl:v:2:y:2016:i:2:p:184202
Access Statistics for this article
Journal of Educational Issues is currently edited by Priscilla Ann
More articles in Journal of Educational Issues from Macrothink Institute
Bibliographic data for series maintained by Technical Support Office ().