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Learning through observation: a combination of expert and novice models favors learning.

机译:通过观察学习:专家模型和新手模型的结合有利于学习。

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Observation of an expert or novice model promotes the learning of a motor skill. In two experiments, we determined the effects of a mixed observation schedule (a combination of expert and novice models) on the learning of a sequential timing task. In Experiment 1, participants observed a novice, expert, or both novice and expert models. The results of retention/transfer tests revealed that all observation groups and a physical practice group learned the task and outperformed a control group. However, observing a novice model was not as effective as observing expert and mixed models. Importantly, a mixed schedule of novice and expert observation resulted in a more stable movement time and better generalization of the imposed relative timing pattern than observation of either a novice or expert model alone. In Experiment 2, we aimed to determine whether a certain type of novice performance (highly variable, with or without error reduction with practice) in a mixed observation schedule would improved motor learning. The observation groups performed as well as a physical practice group and significantly better than a control group. No significant difference was observed with the type of novice model used in a mixed schedule of observation. The results suggest that mixed observation provides an accurate template of the movement (expert observation) that is enhanced when contrasted with the performance of less successful models.
机译:专家或新手模型的观察促进了运动技能的学习。在两个实验中,我们确定了混合观察计划(专家模型和新手模型的组合)对学习时序任务的影响。在实验1中,参与者观察到了新手,专家或新手模型和专家模型。保留/转移测试的结果表明,所有观察组和体育锻炼组都学会了这项任务,并且胜过对照组。但是,观察新手模型不如观察专家模型和混合模型有效。重要的是,与仅观察新手或专家模型相比,新手和专家观察的混合时间表导致更稳定的移动时间和更好的归纳相对计时模式。在实验2中,我们旨在确定混合观察时间表中的某种类型的新手表现(高度可变,有或没有减少练习误差)是否会改善运动学习。观察组的表现与体育锻炼组一样好,并且明显优于对照组。在混合观察计划中使用的新手模型类型未观察到显着差异。结果表明,与不太成功的模型的性能相比,混合观察提供了运动的精确模板(专家观察)。

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