Motivation and information in motor performance: modelling of self-efficacy and knowledge of results interaction in a timing task

M. Pacheco, F. Bastos, R. Drews
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引用次数: 2

Abstract

BACKGROUND: Despite the literature positing a strong relation between motor performance and self-efficacy, few studies address the phenomenon formally. In this sense, how self-efficacy modulates corrections in a trial-to-trial basis and how the performance that individuals consider to be satisfactory modulate both corrections and self-efficacy are not well understood. AIM: The aim of this study is to develop and evaluate a model that relates self-efficacy and performance through a system of difference equations. METHOD: First, we demonstrate the model’s capabilities through constrained simulations. The, to evaluate the model’s grasp of empirical data, we parameterized the model to capture the constant, variable error, self-efficacy and believed satisfactory performance for each individual. RESULTS: The model demonstrates capacity to reproduce these summary results when initial conditions are fed to the system of difference equations. However, we observe features that must be improved and qualitative deviations when individuals demonstrate highly variable behavior. CONCLUSION: The initial results support the current assumptions and included variables in this model.
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运动表现中的动机和信息:自我效能感的模型和计时任务中结果相互作用的知识
背景:尽管文献假设运动表现和自我效能之间有很强的关系,但很少有研究正式解决这一现象。从这个意义上说,自我效能是如何在试验到试验的基础上调节纠正的,以及个人认为令人满意的表现是如何调节纠正和自我效能的,我们还没有很好地理解。目的:本研究的目的是通过一个差分方程系统来建立和评估一个自我效能感与绩效之间的关系模型。方法:首先,我们通过约束模拟来证明模型的能力。为了评估模型对经验数据的把握,我们对模型进行了参数化,以捕获每个个体的常数、变量误差、自我效能和相信满意绩效。结果:当初始条件被馈送到差分方程系统时,该模型显示了再现这些总结结果的能力。然而,当个体表现出高度可变的行为时,我们观察到必须改进的特征和定性偏差。结论:初步结果支持当前的假设和模型中包含的变量。
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