Showing 1 - 2 of 2 Research Library Publications
Posted: | Daniel Jurich, Chunyan Liu, Amanda Clauser

Journal of Graduate Medical Education: Volume 14, Issue 3, Pages 353-354

 

Letter to the editor.

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.