Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
517400 | Journal of the American Medical Informatics Association | 2009 | 10 Pages |
Abstract
The authors identified predictors of performance in an introductory informatics course including GRE-V, UGPA and URMS. Course performance was a very strong predictor of overall program performance. Findings may be useful for selecting students for admission and identifying students at risk for Failure as early as possible.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Irmgard U. PhD, Craig W. PhD, William MD, Elmer V. MD, MSE,