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Monitoring and depth of strategy use in computer-based learning environments for science and history

机译:基于计算机的学习环境的监测与策略在科学和历史的学习环境中使用

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摘要

BackgroundSelf-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning performance.
机译:Frescure-Condulated学习(SRL)模型将元认知监测定位为SRL处理和预测学生学习成果的核心(Winne&Hadwin,2008; Zimmerman,2000)。 研究证据的一体身体还表明,从表面到深度处理的策略使用深度是预测学习表现的预测。

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