Institute for Health and Sport (iHeS), Victoria University, Footscray, Victoria, Australia.
Western Bulldogs, Footscray, Victoria.
PLoS One. 2020 Nov 30;15(11):e0242336. doi: 10.1371/journal.pone.0242336. eCollection 2020.
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.
代表性学习设计提出，培训任务应代表竞争环境中存在的信息约束。为了评估培训任务的代表性水平，应测量约束的频率和相互作用。本研究比较了澳大利亚精英足球比赛中训练（比赛模拟和小场比赛）与比赛环境中的约束相互作用及其频率。确定了约束条件（控球时的压力和时间）对比赛、比赛模拟和小场比赛中踢球和手球效果的影响程度。通过关联规则算法评估了处置效果。然后扩展这些规则以确定处置是否受前一处置的影响。处置类型在训练和比赛环境之间存在差异，与小场比赛相比，比赛模拟具有更高的代表性。与比赛模拟和比赛相比，小场比赛中的后续处置通常更有效。这些发现通过约束相互作用的非线性建模提供了对代表性学习设计测量的深入了解。所使用的分析技术可以帮助其他从业者设计和监控培训任务，以促进从准备到比赛的技能转移。
