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No Robust Effect of Distributed Practice on the Short- and Long-Term Retention of Mathematical Procedures

机译:分布式实践对数学手术短期和长期保留的强大影响

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We investigated the effect of distributed practice and more specifically the “lag effect” concerning the retention of mathematical procedures. The lag effect implies that longer retention intervals benefit from longer inter-study intervals (ISIs). University students ( N = 235) first learned how to solve permutation tasks and then practiced this procedure with an ISI of zero (i.e., massed), one, or 11 days. The final test took place after one or five weeks. All conditions were manipulated between-subjects. Contrary to our expectations, the analyses revealed no effect of distributed practice and therewith also no lag effect, even though the sample size was sufficiently large. The only significant effect was that test performance was poorer after 5 weeks than after 1 week. In view of the present results and those of other studies, we assume that distributed practice works differently for declarative and procedural knowledge, with less robust of even absent effects when procedural skills are practiced with ISIs compared to massed practice.
机译:我们调查了分布式实践的效果,更具体地说,涉及依次保留数学手术的“滞后效应”。滞后效应意味着更长的保留间隔受益于更长的研究间隔(ISIS)。大学生(N = 235)首先学习了如何解决排列任务,然后用零(即,大规模),一或11天的ISI实施此过程。最后一次测试发生在一五周后。所有条件都是在受试者之间操纵。与我们的期望相反,分析显示,即使样品尺寸足够大,也没有滞后效果也没有滞后效应。唯一的显着效果是,测试性能比1周后的5周后较差。鉴于目前的结果和其他研究的结果,我们假设分布式实践与宣言性和程序知识有不同的作用,并且当程序技能与大规模实践相比,当程序技能效果时,甚至缺乏效果都较少。

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