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Motivation and Self-regulation of Learning Strategies on Student Performance in online Courses
Dissertation   Open access

Motivation and Self-regulation of Learning Strategies on Student Performance in online Courses

Tracy Arnold Peyton
University of West Florida Libraries
Doctor of Education (EDD), University of West Florida
2003

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Abstract

The researcher explored whether motivation and self-regulation of learning strategies predicted student performance online. Thirty-five participants from 5 sections of ENC 1101 completed The Motivated Strategies for Learning Questionnaire (Pintrich, Smith, Garcia, & McKeachie, 1991). Using multiple regression, the researcher found that neither motivation nor self-regulation significantly predicted student performance in this setting, nor did the interaction of the 2. However, significant correlations were noted between independent variables. Motivation and self-regulation correlated. Furthermore, some subcomponents of motivation and self-regulation correlated: (a) the value component of motivation with the resource management component of self-regulation; (b) cognitive and metacognitive strategy use with resource management, both self-regulation components; and (c) value with cognitive and metacognitive strategy use.
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