Showing 1 - 3 of 3 Research Library Publications

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

The Choice of Response Probability in Bookmark Standard Setting: An Experimental Study

Posted: | P. Baldwin, M.J. Margolis, B.E. Clauser, J. Mee, M. Winward

Educational Measurement: Issues and Practice, 39: 37-44

 

This article presents the results of an experiment in which content experts were randomly assigned to one of two response probability conditions: .67 and .80. If the standard-setting judgments collected with the bookmark procedure are internally consistent, both conditions should produce highly similar cut scores.

Category:Assessment-Oriented Research, General Measurement

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