摘要: 学习判断是元认知判断的一种重要形式,是指被试对其后测成绩的预测.准确性是学习判断研究的重要问题.学习判断准确性分为绝对准确性和相对准确性.本文重点介绍相对准确性的传统研究方法和修正方法,即预测前回忆和监测法.在比较两种相对准确性的研究方法在数据的收集和分析上的差别,提出传统方法在数据收集过程中只能通过假设推断学习判断判断前的提取过程,修正方法在数据收集时,在学习判断前插入一个回忆阶段,可以监测学习判断判断前的提取过程.应用修正方法使研究者既可分解总的准确性,又可通过加权平均数的算法合成总的准确性.因此该方法有助于研究者更加深入、精确地研究学习判断以及其他元认知判断问题.
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