A Model-Based Method for Content Validation of Automatically Generated Test Items

Xinxin Zhang, Mark Gierl

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.


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DOI: https://doi.org/10.5296/jei.v2i2.10040

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Journal of Educational Issues  ISSN 2377-2263

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