Showing 1 - 3 of 3 Research Library Publications

Leveraging Machine Learning Technology to Improve Accuracy and Efficiency of Identification of Enemy Item Pairs

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.

Category:Assessment-Oriented Research, Scoring, Applications of Technology

Reported Pediatrics Milestones (Mostly) Measure Program, Not Learner Performance

Posted: | Kimberly Hu, Patricia J. Hicks, Melissa Margolis, Carol Carraccio, Amanda Osta, Marcia L. Winward, Alan Schwartz

Academic Medicine: Volume 95 - Issue 11S - Pages S89-S94

 

Semiannually, U.S. pediatrics residency programs report resident milestone levels to the Accreditation Council for Graduate Medical Education (ACGME). The Pediatrics Milestones Assessment Collaborative (PMAC) developed workplace-based assessments of 2 inferences. The authors compared learner and program variance in PMAC scores with ACGME milestones.

Category:Assessment-Oriented Research, Links to Outcomes

A Novel Workplace-Based Assessment for Competency-Based Decisions and Learner Feedback

Posted: | P.J. Hicks, M.J. Margolis, C.L. Carraccio, B.E. Clauser, K. Donnelly, H.B. Fromme, K.A. Gifford, S.E. Poynter, D.J. Schumacher, A. Schwartz & the PMAC Module 1 Study Group

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.

Category:Assessment-Oriented Research, General Measurement