Showing 1 - 3 of 3 Research Library Publications

Three Sources of Validation Evidence Needed to Evaluate the Quality of Generated Test Items for Medical Licensure

Posted: | Mark Gierl, Kimberly Swygert, Donna Matovinovic, Allison Kulesher, Hollis Lai

Teaching and Learning in Medicine: Volume 33 - Issue 4 - p 366-381

 

The purpose of this analysis is to describe these sources of evidence that can be used to evaluate the quality of generated items. The important role of medical expertise in the development and evaluation of the generated items is highlighted as a crucial requirement for producing validation evidence.

Category:Assessment-Oriented Research, Other

Digital Module 28: Unusual Things That Usually Occur in a Credentialing Testing Program

Posted: | Richard A. Feinberg, Carol Morrison, Mark R. Raymond

Educational Measurement: Issues and Practices: Volume 41 - Issue 1 - Pages 95-96

 

Often unanticipated situations arise that can create a range of problems from threats to score validity, to unexpected financial costs, and even longer-term reputational damage. This module discusses some of these unusual challenges that usually occur in a credentialing program.

Category:Assessment-Oriented Research, General Measurement, Reliability/Validity

Automated Item Generation with Recurrent Neural Networks

Posted: | M. von Davier

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.

Category:Assessment-Oriented Research, Applications of Technology