Showing 1 - 3 of 3 Research Library Publications

Measuring Item Influence for Diagnostic Classification Models

Posted: | Daniel P. Jurich, Matthew J. Madison

Educational Assessment

 

This study proposes four indices to quantify item influence and distinguishes them from other available item and test measures. We use simulation methods to evaluate and provide guidelines for interpreting each index, followed by a real data application to illustrate their use in practice. We discuss theoretical considerations regarding when influence presents a psychometric concern and other practical concerns such as how the indices function when reducing influence imbalance.

Category:Assessment-Oriented Research, Scoring

The Fundamentals of Artificial Intelligence in Medical Education Research: AMEE Guide No. 156

Posted: | Martin G. Tolsgaard, Martin V. Pusic, Stefanie S. Sebok-Syer, Brian Gin, Morten Bo Svendsen, Mark D. Syer, Ryan Brydges, Monica M. Cuddy, Christy K. Boscardin

Medical Teacher: Volume 45 - Issue 6, Pages 565-573

 

This guide aims aim to describe practical considerations involved in reading and conducting studies in medical education using Artificial Intelligence (AI), define basic terminology and identify which medical education problems and data are ideally-suited for using AI.

Category:Assessment-Oriented Research, Applications of Technology

Reading Differences in Eye-Tracking Data as a Marker of High-Functioning Autism in Adults and Comparison to Results from Web-Related Tasks

Posted: | Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov

Neural Engineering Techniques for Autism Spectrum Disorder: Volume 2, Pages 63-79

 

Automated detection of high-functioning autism in adults is a highly challenging and understudied problem. In search of a way to automatically detect the condition, this chapter explores how eye-tracking data from reading tasks can be used.

Category:Health Professions, Assessment-Oriented Research, Applications of Technology