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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和深度对科学和历史的学习环境

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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:背景自我调节学习(SRL)模型将元认知监控定位为SRL处理和预测学生学习结果的核心(Winne&Hadwin,2008;Zimmerman,2000)。大量研究证据还表明,策略使用的深度(从表面到深层处理)可以预测学习成绩。

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