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Training Compliance Control Yields Improvements in Drawing as a Function of Beery Scores

机译：训练合规性控制可根据比尔比分数提高制图能力

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Many children have difficulty producing movements well enough to improve in sensori-motor learning. Previously, we developed a training method that supports active movement generation to allow improvement at a 3D tracing task requiring good compliance control. Here, we tested 7–8 year old children from several 2nd grade classrooms to determine whether 3D tracing performance could be predicted using the Beery VMI. We also examined whether 3D tracing training lead to improvements in drawing. Baseline testing included Beery, a drawing task on a tablet computer, and 3D tracing. We found that baseline performance in 3D tracing and drawing co-varied with the visual perception (VP) component of the Beery. Differences in 3D tracing between children scoring low versus high on the Beery VP replicated differences previously found between children with and without motor impairments, as did post-training performance that eliminated these differences. Drawing improved as a result of training in the 3D tracing task. The training method improved drawing and reduced differences predicted by Beery scores.
机译：许多孩子很难产生足够好的动作来改善感觉运动学习。以前，我们开发了一种训练方法，该方法支持主动运动生成，从而可以改进需要良好合规控制的3D跟踪任务。在这里，我们对来自几个2级中学的7-8岁儿童进行了测试，以确定是否可以使用Beery VMI预测3D跟踪性能。我们还检查了3D跟踪训练是否可以改善图形。基线测试包括Beery，平板电脑上的绘图任务和3D跟踪。我们发现3D描图和绘图中的基线性能与Beery的视觉感知（VP）分量共变。在Beery VP上得分较低和较高的孩子之间的3D追踪差异重复了以前在有运动障碍和没有运动障碍的孩子之间发现的差异，以及消除这些差异的训练后表现。由于进行了3D跟踪任务的培训，绘图效果得到了改善。训练方法改善了绘画效果，并减少了由比利分数预测的差异。

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