Article ID Journal Published Year Pages File Type
517400 Journal of the American Medical Informatics Association 2009 10 Pages PDF
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
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