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Predicting long-term growth in students' mathematics achievement: the unique contributions of motivation and cognitive strategies

Murayama, K., Pekrun, R., Lichtenfeld, S. and vom Hofe, R. (2013) Predicting long-term growth in students' mathematics achievement: the unique contributions of motivation and cognitive strategies. Child Development, 84 (4). pp. 1475-1490. ISSN 1467-8624

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To link to this item DOI: 10.1111/cdev.12036

Abstract/Summary

This research examined how motivation (perceived control, intrinsic motivation, and extrinsic motivation), cognitive learning strategies (deep and surface strategies), and intelligence jointly predict long-term growth in students' mathematics achievement over 5 years. Using longitudinal data from six annual waves (Grades 5 through 10; Mage = 11.7 years at baseline; N = 3,530), latent growth curve modeling was employed to analyze growth in achievement. Results showed that the initial level of achievement was strongly related to intelligence, with motivation and cognitive strategies explaining additional variance. In contrast, intelligence had no relation with the growth of achievement over years, whereas motivation and learning strategies were predictors of growth. These findings highlight the importance of motivation and learning strategies in facilitating adolescents' development of mathematical competencies.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Development
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Language and Cognition
ID Code:33592
Publisher:Wiley

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