Highly Gifted Students in the Sciences: Predicting Academic Proficiency Based on Personality, Conative, and Cognitive Traits
This study sought to identify traits that act as possible predictors of academic science proficiency of highly gifted adolescent students. A combination of cognitive, personality, and conative traits were selected for evaluation as predictors of scientific proficiency using student General Ability Index (GAI), Revised NEO Personality Index (NEO-PI R), and Kolbe Index scores to evaluate each, respectively. Statistical correlational analyses revealed that high expressions of the conative trait Fact Finder and the personality traits Ideas and Straight-forwardness predicted higher degrees of academic science proficiency. In contrast, lower expressions of the personality traits Excitement Seeking and Order predicted higher degrees of scientific proficiency. Further, stepwise regression confirmed that the NEO-PI R facets of Excitement Seeking and Ideas traits were significant predictors of science proficiency and suggested that the personality trait Vulnerability may also be a predictor. The repeated appearance of the Excitement Seeking and Ideas facets and the dependence of the other identified traits suggests that these traits were the most promising possible predictors of scientific proficiency in highly gifted students and should be the target of future research.