RESEARCH LIBRARY

Medical Teacher: Volume 40 - Issue 8 - p 838-841

Adaptive learning requires frequent and valid assessments for learners to track progress against their goals. This study determined if multiple-choice questions (MCQs) “crowdsourced” from medical learners could meet the standards of many large-scale testing programs.

Medical Teacher: Volume 40 - Issue 11 - p 1143-1150

This study explores a novel milestone-based workplace assessment system that was implemented in 15 pediatrics residency programs. The system provided: web-based multisource feedback and structured clinical observation instruments that could be completed on any computer or mobile device; and monthly feedback reports that included competency-level scores and recommendations for improvement.

Quality Assurance in Education, Vol. 26 No. 2, pp. 150-152

An introduction to a special issue of Quality Assurance in Education featuring papers based on presentations at a two-day international seminar on managing the quality of data collection in large-scale assessments.

Med Educ, 52: 359-361

Focusing specifically on examples set in the context of movement from Bachelor's level undergraduate programmes to enrolment in medical school, this publication argues that a great deal of what happens on college campuses today, curricular and otherwise, is (in)directly driven by the not‐so‐invisible hand of the medical education enterprise.

Psychometrika 83, 847–857 (2018)

Utilizing algorithms to generate items in educational and psychological testing is an active area of research for obvious reasons: Test items are predominantly written by humans, in most cases by content experts who represent a limited and potentially costly resource. Using algorithms instead has the appeal to provide an unlimited resource for this crucial part of assessment development.

The authors examined the extent to which USMLE scores relate to the odds of receiving a disciplinary action from a U.S. state medical board.