Predictors of learning performance in a computer-user training environment: A path-analytic study

Abstract

A model was developed that incorporates several potential predictors of computer‐user learning performance in a software training situation. The predictors in the model are: computer anxiety, computing aptitude, computing experience, and prior general achievement. The results show that computing aptitude and achievement are related to learning performance, whereas anxiety and experience are not. Several demographic traits of the subjects were also considered but no significant differences were found. Suggestions for future research include the evaluation of other potential predictors of computer‐user learning performance and the assessment of different types of training programs to deal with differing levels of computing aptitude.