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.
Academic Medicine: Volume 96 - Issue 6 - p 876-884(9)
This study examines whether there are group differences in milestone ratings submitted by program directors working with clinical competency committees based on gender for internal medicine residents and whether women and men rated similarly on subsequent in-training and certification examinations.