Showing 1 - 5 of 5 Research Library Publications

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

Eye-Tracking Scanpath Trend Analysis for Autism Detection

Posted: | Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva, Simon Harper

ACM SIGACCESS Accessibility and Computing

 

In this article, we first summarise STA (Scanpath Trend Analysis) with its application in autism detection, and then discuss future directions for this research.

Category:Assessment-Oriented Research, Applications of Technology

The Role of Data Science and Machine Learning in Health Professions Education: Practical Applications, Theoretical Contributions, and Epistemic Beliefs

Posted: | Martin G. Tolsgaard, Christy K. Boscardin, Yoon Soo Park, Monica M. Cuddy, Stefanie S. Sebok-Syer

Advances in Health Sciences Education: Volume 25, p 1057–1086 (2020)

 

This critical review explores: (1) published applications of data science and ML in HPE literature and (2) the potential role of data science and ML in shifting theoretical and epistemological perspectives in HPE research and practice.

Category:Assessment-Oriented Research, General Measurement, Health Professions

Medical Student Experiences With Accessing and Entering Patient Information in Electronic Health Records During The Obstetrics-Gynecology Clerkship

Posted: | M. M. Hammoud, L. M.Foster, M. M.Cuddy, D. B. Swanson, P. M. Wallach

American Journal of Obstetrics and Gynecology, Volume 223, Issue 3, Pages 435.e1-435.e6

 

The purpose of this study was to examine medical student reporting of electronic health record use during the obstetrics and gynecology clerkship.

Category:Health Professions

Detecting High-Functioning Autism In Adults Using Eye Tracking And Machine Learning

Posted: | V. Yaneva, L. A. Ha, S. Eraslan, Y. Yesilada, R. Mitkov

IEEE Transactions on Neural Systems and Rehabilitation Engineering

 

The purpose of this study is to test whether visual processing differences between adults with and without high-functioning autism captured through eye tracking can be used to detect autism.

Category:Assessment-Oriented Research, Applications of Technology