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Motivation And Self-Regulation As Predictors Of Virtual High School Student Performance
Dissertation   Open access

Motivation And Self-Regulation As Predictors Of Virtual High School Student Performance

Jocelyn Rose Valerio-Faessel
University of West Florida Libraries
Doctor of Education (EDD), University of West Florida
2012

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Abstract

The impact of motivation and self-regulation as predictors of virtual high school student performance was investigated in this study. Using the Motivation Strategies Learning Questionnaire (MSLQ; Pintrich, Smith, Garcia and McKeachie, 1991) instrument, a correlation and multiple regression analysis was used to determine whether motivation and self-regulation learning strategies predicted student performance, and if there were differences in motivation and self-regulatory learning strategies between 2 groups of Florida Virtual School (FLVS) students. The results revealed profound implications for the virtual high school learning environment. Both motivation and self-regulatory learning strategies were found to be positively correlated to student performance and when examining for unique effects, the researcher found motivation among virtual high school students was a strong predictor of student performance. Self-efficacy was also found to be a significant predictor of student performance. Motivation, overall, was strongly predictive of student performance among virtual high school students.
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