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Complex relations between metacognitive judgment and metacognitive control in self-regulated learning.

机译:自我调节学习中元认知判断与元认知控制之间的复杂关系。

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摘要

This study explores whether and how the relationship between metacognitive monitoring and metacognitive control in self-regulated learning (SRL) is associated with personal factors such as motivation, personal epistemology, metacognitive awareness, and other individual difference variables. An eye tracking system was used to accurately capture data pertaining to metacognitive monitoring and control in SRL processes while participants studied then restudied some basic concepts of Number Theory using gStudy, a multi-featured software learning tool. This study yielded three significant findings. First, 37 of the 75 participants allocated more restudy time to information they judged not well learned, and 38 people allocated more restudy time to information they judged well learned. This result is not aligned with the dominant model of metacognitively guided restudying proposed by Dunlosky and Herzog (1998) which claims that learners allocate more study time to information they judge difficult. Second, three personal factors were statistically detectably associated with the relation between people's judgments of learning and their allocations of restudy time: monitoring, achievement, and calibration. These represent two categories of learner characteristics: metacognitive awareness and achievement-related factors. Third, individual differences underlying self-reports about metacognitive control operations are fundamentally different from those underlying on-the-fly metacognitive control. This study reveals the dual-process character of online metacognition, different mechanisms in online metacognition versus self-reported metacognition. It also illuminates some limitations of self-report methodologies in measuring SRL in real time and the importance using state-of-the-art technologies in research on real-time SRL processes.
机译:这项研究探讨了自我调节学习(SRL)中的元认知监控与元认知控制之间的关系以及其与诸如动机,个人认识论,元认知意识和其他个体差异变量之类的个人因素之间的关系,以及该关系如何与之相关。眼动追踪系统用于准确捕获与SRL流程中的元认知监控有关的数据,而参加研究的参与者随后使用gStudy(一种多功能的软件学习工具)重新研究了数论的一些基本概念。这项研究得出了三个重要发现。首先,在75名参与者中,有37名将更多的学习时间分配给他们认为学习不好的信息,而38名参与者将更多的学习时间分配给他们认为学习不好的信息。这一结果与邓洛斯基和赫尔佐格(Dunlosky and Herzog,1998)提出的元认知指导的再研究的主导模型不一致,后者声称学习者将更多的学习时间分配给他们认为困难的信息。其次,三个个人因素在统计学上可检测地与人们的学习判断与他们的学习时间分配之间的关系相关联:监测,成就和校准。这些代表了两类学习者特征:元认知意识和成就相关因素。第三,关于元认知控制操作的自我报告所基于的个体差异与动态元认知控制所基于的个体差异根本不同。这项研究揭示了在线元认知的双重过程特征,在线元认知与自我报告的元认知的不同机制。它还阐明了在实时测量SRL时自我报告方法的局限性,以及在实时SRL流程研究中使用最新技术的重要性。

著录项

  • 作者

    Sha, Li.;

  • 作者单位

    Simon Fraser University (Canada).;

  • 授予单位 Simon Fraser University (Canada).;
  • 学科 Education Educational Psychology.;Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 176 p.
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 能源与动力工程;
  • 关键词

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