Showing 1 - 3 of 3 Research Library Publications

Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment

Posted: | Victoria Yaneva, Peter Baldwin, Daniel P. Jurich, Kimberly Swygert, Brian E. Clauser

Academic Medicine: Volume 99 - Issue 2 - p 192-197

 

This report investigates the potential of artificial intelligence (AI) agents, exemplified by ChatGPT, to perform on the United States Medical Licensing Examination (USMLE), following reports of its successful performance on sample items. 

Category:Product-Oriented Research, USMLE, Assessment-Oriented Research, Applications of Technology

The Role of Data Science and Machine Learning in Health Professions Education: Practical Applications, Theoretical Contributions, and Epistemic Beliefs

Posted: | Martin G. Tolsgaard, Christy K. Boscardin, Yoon Soo Park, Monica M. Cuddy, Stefanie S. Sebok-Syer

Advances in Health Sciences Education: Volume 25, p 1057–1086 (2020)

 

This critical review explores: (1) published applications of data science and ML in HPE literature and (2) the potential role of data science and ML in shifting theoretical and epistemological perspectives in HPE research and practice.

Category:Assessment-Oriented Research, General Measurement, Health Professions

Palliative Care Competencies and Readiness for Independent Practice: A Report on the American Academy of Hospice and Palliative Medicine Review of the U.S. Medical Licensing Step Examinations

Posted: | E. C. Carey, M. Paniagua, L. J. Morrison, S. K. Levine, J. C. Klick, G. T. Buckholz, J. Rotella, J. Bruno, S. Liao, R. M. Arnold

Journal of Pain and Symptom Management: Volume 56, Issue 3, p371-378

 

This article reviews the USMLE step examinations to determine whether they test the palliative care (PC) knowledge necessary for graduating medical students and residents applying for licensure.

Category:Assessment-Oriented Research, Reliability/Validity, Product-Oriented Research, USMLE, Health Professions