Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond.
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.