调谐
功能可见性
计算机科学
运动(音乐)
钥匙(锁)
模仿
透视图(图形)
德雷福斯技能获得模型
分类
知识管理
认知心理学
人机交互
人工智能
心理学
社会心理学
医学
哲学
替代医学
计算机安全
病理
经济
经济增长
美学
作者
Ludovic Seifert,Chris Button,Keith Davids
出处
期刊:Faculty of Health; Institute of Health and Biomedical Innovation
日期:2013-01-01
被引量:12
摘要
This paper identifies key properties of expertise in sport predicated on the performer-environment relationship. Weaknesses of traditional approaches to expert performance, which uniquely focus on the performer and the environment separately, are highlighted by an ecological dynamics perspective. Key properties of expert movement systems include 'multi- and meta-stability', 'adaptive variability', 'redundancy', 'degeneracy' and the 'attunement to affordances'. Empirical research on these expert system properties indicates that skill acquisition does not emerge from the internal representation of declarative and procedural knowledge, or the imitation of expert behaviours to linearly reduce a perceived 'gap' separating movements of beginners and a putative expert model. Rather, expert performance corresponds with the ongoing co-adaptation of an individual's behaviours to dynamically changing, interacting constraints, individually perceived and encountered. The functional role of adaptive movement variability is essential to expert performance in many different sports (involving individuals and teams; ball games and outdoor activities; land and aquatic environments). These key properties signify that, in sport performance, although basic movement patterns need to be acquired by developing athletes, there exists no ideal movement template towards which all learners should aspire, since relatively unique functional movement solutions emerge from the interaction of key constraints.
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