Showing 1 - 2 of 2 Research Library Publications

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

Enhancement of Assessment of Physician-Patient Communication Skills in the United States Medical Licensing Examination (USMLE)

Posted: | Ruth B. Hoppe, Ann M. King, Kathleen M. Mazor, Gail E. Furman, Penelope Wick-Garcia, Heather Corcoran–Ponisciak, Peter J. Katsufrakis

Academic Medicine: Volume 88 - Issue 11 - p 1670-1675

 

From 2007 through 2012, the NBME team reviewed literature in physician–patient communication, examined performance characteristics of the Step 2 CS exam, observed case development and quality assurance processes, interviewed SPs and their trainers, and reviewed video recordings of examinee–SP interactions.  The authors describe perspectives gained by their team from the review process and outline the resulting enhancements to the Step 2 CS exam, some of which were rolled out in June 2012.

Category:Product-Oriented Research, USMLE