Motivational predictors of students' participation in out-of-school learning activities and academic attainment in science: An application of the trans-contextual model using Bayesian path analysis
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Hamilton, Kyra
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Abstract
Given the shortfall in students studying science, promotion of motivation and engagement in science education is a priority. The current study applied the trans-contextual model to study the motivational predictors of participation in science learning activities in secondary-school students. In a three-wave design, secondary-school students completed measures of perceived autonomy support, autonomous and controlled motivation, social-cognitive beliefs (attitudes, subjective norms, perceived control), intentions, and self-reported participation in out-of-school science learning activities. Five-weeks later, students self-reported their science learning activities. Students' science grades over the semester period were obtained. Bayesian path analyses supported model hypotheses: in-school autonomous motivation predicted out-of-school autonomous motivation, beliefs, intentions, science activity participation, and science grades. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision in estimates. Findings provide evidence for a link between students' autonomous motivation toward science activities across contexts and may inform interventions promoting motivation and participation in science activities.
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Learning and Individual Differences
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67
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© 2018 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Specialist studies in education
Psychology
Other psychology not elsewhere classified