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

Representative learning design proposes that a training task should represent informational constraints present within a competitive environment. To assess the level of representativeness of a training task, the frequency and interaction of constraints should be measured. This study compared constra...

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Detalles Bibliográficos
Autores principales: Browne, Peter R., Woods, Carl T., Sweeting, Alice J., Robertson, Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703947/
https://www.ncbi.nlm.nih.gov/pubmed/33253204
http://dx.doi.org/10.1371/journal.pone.0242336
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author Browne, Peter R.
Woods, Carl T.
Sweeting, Alice J.
Robertson, Sam
author_facet Browne, Peter R.
Woods, Carl T.
Sweeting, Alice J.
Robertson, Sam
author_sort Browne, Peter R.
collection PubMed
description Representative learning design proposes that a training task should represent informational constraints present within a competitive environment. To assess the level of representativeness of a training task, the frequency and interaction of constraints should be measured. This study compared constraint interactions and their frequencies in training (match simulations and small sided games) with competition environments in elite Australian football. The extent to which constraints influenced kick and handball effectiveness between competition matches, match simulations and small sided games was determined. The constraints of pressure and time in possession were assessed, alongside disposal effectiveness, through an association rule algorithm. These rules were then expanded to determine whether a disposal was influenced by the preceding disposal. Disposal type differed between training and competition environments, with match simulations yielding greater representativeness compared to small sided games. The subsequent disposal was generally more effective in small sided games compared to the match simulations and competition matches. These findings offer insight into the measurement of representative learning designs through the non-linear modelling of constraint interactions. The analytical techniques utilised may assist other practitioners with the design and monitoring of training tasks intended to facilitate skill transfer from preparation to competition.
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spelling pubmed-77039472020-12-03 Applications of a working framework for the measurement of representative learning design in Australian football Browne, Peter R. Woods, Carl T. Sweeting, Alice J. Robertson, Sam PLoS One Research Article Representative learning design proposes that a training task should represent informational constraints present within a competitive environment. To assess the level of representativeness of a training task, the frequency and interaction of constraints should be measured. This study compared constraint interactions and their frequencies in training (match simulations and small sided games) with competition environments in elite Australian football. The extent to which constraints influenced kick and handball effectiveness between competition matches, match simulations and small sided games was determined. The constraints of pressure and time in possession were assessed, alongside disposal effectiveness, through an association rule algorithm. These rules were then expanded to determine whether a disposal was influenced by the preceding disposal. Disposal type differed between training and competition environments, with match simulations yielding greater representativeness compared to small sided games. The subsequent disposal was generally more effective in small sided games compared to the match simulations and competition matches. These findings offer insight into the measurement of representative learning designs through the non-linear modelling of constraint interactions. The analytical techniques utilised may assist other practitioners with the design and monitoring of training tasks intended to facilitate skill transfer from preparation to competition. Public Library of Science 2020-11-30 /pmc/articles/PMC7703947/ /pubmed/33253204 http://dx.doi.org/10.1371/journal.pone.0242336 Text en © 2020 Browne et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Browne, Peter R.
Woods, Carl T.
Sweeting, Alice J.
Robertson, Sam
Applications of a working framework for the measurement of representative learning design in Australian football
title Applications of a working framework for the measurement of representative learning design in Australian football
title_full Applications of a working framework for the measurement of representative learning design in Australian football
title_fullStr Applications of a working framework for the measurement of representative learning design in Australian football
title_full_unstemmed Applications of a working framework for the measurement of representative learning design in Australian football
title_short Applications of a working framework for the measurement of representative learning design in Australian football
title_sort applications of a working framework for the measurement of representative learning design in australian football
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703947/
https://www.ncbi.nlm.nih.gov/pubmed/33253204
http://dx.doi.org/10.1371/journal.pone.0242336
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