Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review
Sign Up to like & getrecommendations! Published in 2023 at "BMJ Open"
DOI: 10.1136/bmjopen-2022-064956
Abstract: Introduction Predicting medical science students’ performance on high-stakes examinations has received considerable attention. Machine learning (ML) models are well-known approaches to enhance the accuracy of determining the students’ performance. Accordingly, we aim to provide a… read more here.
Keywords: high stakes; stakes examinations; review; performance high ... See more keywords
One test to rule them all: A qualitative study of formal, informal, and hidden curricula as drivers of USMLE “exam mania”
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0279911
Abstract: High-stakes examinations are an integral part of medical education. To practice in the United States (U.S.), students must pass the U.S. Medical Licensing Examinations (USMLE). With the transition of USMLE Step 1 to pass/fail scoring… read more here.
Keywords: high stakes; stakes examinations; step; hidden curricula ... See more keywords