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As advanced industrial economies experience rapid digitization and automation, there is increasing pressure on young people to develop advanced computer and information literacies (CIL). Accordingly, much attention has been devoted to identifying the factors involved in CIL achievement. We extend this literature by proposing and testing a novel multiplicative effects model, based on social cognitive perspectives, of the relations of ICT interest and self-efficacy with CIL achievement. Based on data from over 5300 secondary students, latent variable modeling with latent interactions yielded support for a compensatory effects model that generalized entirely across gender. ICT interest was found to associate positively with achievement under conditions of lower self-efficacy whereas the opposite was true at higher levels of self-efficacy.
Mark Carroll, University of Nevada - Las Vegas
Harsha Perera, University of Nevada - Las Vegas
Zvetomira Svetleff, University of Nevada - Las Vegas