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Correlation and regression analyses of the data provide considerable empirical support for the validity of the L2 Motivational Self System and its relevance in the Pakistani context, with attitudes to the learning experience and the Ideal L2 self again found to be the strongest predictors of learning effort.
However, all the independent variables are not significant predictors of learning performance in blended learning.
The findings showed that both self-regulation and self-efficacy were significant predictors of learning achievement in the mobile context-aware learning (MCL) context.
For example, the major predictors of learning gains consisted of the student predicting the behavior of a circuit, explaining why, observing what happens, and explaining discrepancies between prediction and observation.
Investigating predictors of learning success in infancy has relied largely on behavioural measures like visual attention.
Following the training program, the external environment, strategic positioning, and quality of care were predictors of learning outcomes.
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The challenge in the game was an especially strong predictor of learning outcomes.
It is concluded that student self-perceived engagement is not a good predictor of learning as assessed by marks awarded on a summative assignment.
Their structural model results also reveal that user satisfaction is a significant predictor of learning outcomes.
Poehner and Lantolf (2013) concluded that "LPS has promise as a predictor of learning" (p. 336).
The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes.
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