
RESEARCH LIBRARY
RESEARCH LIBRARY
View the latest publications from members of the NBME research team
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), Pages 443-447
This paper presents the ACTA system, which performs automated short-answer grading in the domain of high-stakes medical exams. The system builds upon previous work on neural similarity-based grading approaches by applying these to the medical domain and utilizing contrastive learning as a means to optimize the similarity metric.
Teaching and Learning in Medicine: Volume 33 - Issue 4 - p 366-381
CSE scores for students from eight schools that moved Step 1 after core clerkships between 2012 and 2016 were analyzed in a pre-post format. Hierarchical linear modeling was used to quantify the effect of the curriculum on CSE performance. Additional analysis determined if clerkship order impacted clinical subject exam performance and whether the curriculum change resulted in more students scoring in the lowest percentiles before and after the curricular change.
American Journal of Obstetrics and Gynecology, Volume 223, Issue 3, Pages 435.e1-435.e6
The purpose of this study was to examine medical student reporting of electronic health record use during the obstetrics and gynecology clerkship.
J Gen Intern Med 34, 705–711 (2019)
This study examines medical student accounts of EHR use during their internal medicine (IM) clerkships and sub-internships during a 5-year time period prior to the new clinical documentation guidelines.