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

The Cogent3 Study: Examining Gender’s Impact on Education and Cognition Trends in Three American Generations

Posted: | Shana Stites, Hannah Cao, Jeanine Gill, Kristin Harkins, Jonathan Rubright, Jason Flatt

Innovation in Aging, Volume 4, Issue Supplement_1, 2020, Pages 696-697

 

This presentation describes the framework informing our approach and present results from analyses of gender effects in The Health and Retirement Study that examine gender differences in the associations observed between education and cognitive measures in older adults.

Category:Health Professions

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