PREDICTORS OF LEARNING-PERFORMANCE IN A COMPUTER-USER TRAINING ENVIRONMENT - A PATH-ANALYTIC STUDY

A model was developed that incorporates several potential predictors o f 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 sho w that computing aptitude and achievement are related to learning perf ormance, whereas anxiety and experience are not. Several demographic t raits of the subjects were also considered but no significant differen ces were found. Suggestions for future research include the evaluation of other potential predictors of computer-user learning performance a nd the assessment of different types of training programs to deal with differing levels of computing aptitude.