赛艇训练处方与监控:来自澳大利亚精英教练的观点

Sophie P. Watts, Martyn J. Binnie, Paul S. R. Goods, Peter Peeling
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引用次数: 0

摘要

优秀教练的经验知识可以为运动员准备和监督训练提供有价值的见解,否则很难客观地建立。因此,我们从(1)训练理念、(2)训练处方方法、(3)训练监控与绩效评估三个方面探讨了澳大利亚优秀赛艇教练的观点。十位经验丰富的赛艇教练(经验范围15-51年)以半结构化的形式就上述三个主题进行了采访。使用分层内容分析对数据进行分析,以开发高阶和低阶主题。在训练理念下,建立了三个更高阶的主题:(1)建造发动机,(2)强度是周期性和极化的,(3)水上速度的进步是关键。建立了训练处方方法的两个高阶主题:(1)处方是模态依赖的;(2)运动员特征是重要的。在培训监测和绩效评估方面,确定了两个更高层次的主题:(1)评估水上表现是困难的;(2)短期与长期监测。教练们承认赛艇训练处方和量化的复杂性,并提供了克服这些过程中挑战的实用方法。这些发现有助于为培训环境中的教练和支持人员提供信息,并为未来的研究提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Training Prescription and Monitoring in Rowing: Perspectives From Elite Australian Coaches

Elite coach experiential knowledge may provide valuable insights into athlete preparation and monitoring practices that are otherwise difficult to establish objectively. Accordingly, we explored the perspectives of elite Australian rowing coaches in relation to (1) training philosophy, (2) training prescription methods, and (3) training monitoring and performance assessment. Ten experienced rowing coaches (experience range 15–51 years) were interviewed in a semi-structured format on the three topics established above. Data were analysed using hierarchical content analysis to develop higher and lower order themes. Under training philosophy, three higher order themes were established: (1) building the engine, (2) intensity is periodised and polarised, and (3) progression of on-water speed is key. Two higher order themes were established for training prescription methods: (1) prescription is modality dependent and (2) athlete characteristics are important. Under training monitoring and performance assessment, two higher order themes were identified: (1) assessing on-water performance is difficult and (2) short versus long term monitoring. Coaches acknowledged the complexity of training prescription and quantification in rowing and offered practical methods to overcome challenges with these processes. These findings help to inform coaches and support staff in the training environment as well as inform future research.

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