The purpose of this study was to illustrate the relationship between self-efficacy, task value, goal orientations, metacognitive self-regulation, self-regulation and learning strategies and to investigate the unique contribution of each on the variability in students' total scores of 12 exams. Our study revealed that students' self-efficacy, task-value, self-regulation, and elaboration are significantly positively correlated with total scores. Path analysis demonstrated that self-efficacy was the strongest predictor of total score and positively predicted mastery goals, but negatively predicted avoidant goals. The study reveals positive direct effect of mastery goals on metacognitive self-regulation. In addition, positive direct effects of metacognitive self-regulation on deep learning strategies and on self-regulatory strategies are found. However, some expected direct effects were not represented with significant parameters in the model. Performance-approach goals were not a significant predictor of other variables in the model. Also, there were no significant direct effects of mastery goals nor metacognitive self-regulation and deep learning strategies on total scores which were discussed here.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.