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首页> 外文期刊>Frontiers in Psychology >Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory
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Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory

机译:通过自决理论理解自控运动学习协议

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摘要

The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT). Three micro-theories within the macro-theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory, and Organismic Integration Theory) are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes.
机译:本综述的目的是通过自决理论(SDT)的宗旨,提供对自控实践环境下的学习优势的理论理解。 SDT宏观理论中的三个微观理论(基本心理需求理论,认知评估理论和有机整合理论)被用作检查当前自我控制运动学习文献的框架。对来自运动学习和医学培训文献的26项经同行评审的实证研究的回顾表明,运动学习中自我控制研究的一个重要局限性:动机的影响是假设的,而不是量化的。 SDT提供了一个基础,可以将对动机的测量纳入对行为变化的解释中。这项审查表明,自我控制的实践环境可以促进诸如自主感和学习者能力之类的因素,从而满足学习者的心理需求,从而导致行为的长期变化。讨论了在未来研究中测量动机和调节力的可能工具。 SDT不仅可以对现有的运动学习研究进行理论上的重新解释,以支持将自我控制作为学习变量,而且还可以帮助更好地理解和衡量实践环境与观察到的行为结果之间的变化。

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