Showing 1 - 2 of 2 Research Library Publications

An Experimental Comparison of Multiple-Choice and Short-Answer Questions on a High-Stakes Test for Medical Students

Posted: | Janet Mee, Ravi Pandian, Justin Wolczynski, Amy Morales, Miguel Paniagua, Polina Harik, Peter Baldwin, Brian E. Clauser

Advances in Health Sciences Education

 

Recent advancements enable replacing MCQs with SAQs in high-stakes assessments, but prior research often used small samples under low stakes and lacked time data. This study assesses difficulty, discrimination, and time in a large-scale high-stakes context

Category:Assessment-Oriented Research, Links to Outcomes, General Measurement

Leveraging Machine Learning Technology to Improve Accuracy and Efficiency of Identification of Enemy Item Pairs

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.

Category:Assessment-Oriented Research, Scoring, Applications of Technology