A regression model to identify successful learner traits with CAI

Abstract

This descriptive study examined the personality traits and instructional time factors of successful and nonsuccessful students who utilized computer-assisted instruction (CAI) to learn psychopharmacological nursing. Data from this study support the contention that there is beginning evidence to imply that there are certain individual traits that can be utilized to predict successful learning with CAI. The stepwise multiple regression analysis utilized in this study identified 17 variables that contributed to successful learning. Specific academic, cognitive, demographic, and philosophical indicators emerged as the most consistent predictors of learning associated with these psychopharmacological lessons presented on the PLATO system. These results and others are explored in terms of their educational implications, and suggestions are made for future research that can be used to plan more effective and efficient use of computers in nursing education.