Training programme designs in professional team sport: An ecological dynamics exemplar

WOODS, C.T., MCKEOWN, I., SHUTTLEWORTH, R.J., DAVIDS, Keith and ROBERTSON, S. (2019). Training programme designs in professional team sport: An ecological dynamics exemplar. Human Movement Science, 66, 318-326.

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Ecological dynamics is a contemporary theory of skill acquisition, advocating the mutuality of the performer-environment system, with clear implications for the design of innovative training environments in elite sport. It contends that performance behaviours emerge, and are adapted, by athletes satisfying a confluence of constraints impacting on their structural and functional capacities, the physics of a performance environment and the intended task goals. This framework implicates contemporary models of coaching, training design and sport science support, to stimulate continuous interactions between an individual and performance environment, predicated on representative learning designs (RLD). While theoretical principles of RLD in ecological dynamics are tangible, their practical application in elite and high level (team) sports need verification. Here, we exemplify how data sampled from a high-performance team sport setting could underpin innovative methodologies to support practitioners in designing representative training activities. We highlight how the use of principles grounded within ecological dynamics, along with data from performance analytics, could suggest contemporary models of coaching and preparation for performance in elite sport.

Item Type: Article
Uncontrolled Keywords: Constraints-led approach; Ecological dynamics; Interdisciplinarity; Localised interactions; Performance analysis; Representative learning design; Skill acquisition; 09 Engineering; 11 Medical and Health Sciences; 17 Psychology and Cognitive Sciences; Experimental Psychology
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Page Range: 318-326
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 19 Jun 2019 09:22
Last Modified: 17 Mar 2021 20:01

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