Literature DB >> 31136905

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

Carl T Woods1, Ian McKeown2, Richard J Shuttleworth3, Keith Davids3, Sam Robertson4.   

Abstract

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. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Constraints-led approach; Ecological dynamics; Interdisciplinarity; Localised interactions; Performance analysis; Representative learning design; Skill acquisition

Year:  2019        PMID: 31136905     DOI: 10.1016/j.humov.2019.05.015

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  3 in total

Review 1.  Future Directions and Considerations for Talent Identification in Australian Football.

Authors:  Nathan Bonney; Paul Larkin; Kevin Ball
Journal:  Front Sports Act Living       Date:  2020-11-30

2.  Applications of a working framework for the measurement of representative learning design in Australian football.

Authors:  Peter R Browne; Carl T Woods; Alice J Sweeting; Sam Robertson
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

3.  Interdisciplinary Sport Research Can Better Predict Competition Performance, Identify Individual Differences, and Quantify Task Representation.

Authors:  Ben Piggott; Sean Müller; Paola Chivers; Ashley Cripps; Gerard Hoyne
Journal:  Front Sports Act Living       Date:  2020-02-27
  3 in total

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