数智赋能科学训练:内涵逻辑、国际经验与本土实践

Data-Intelligence Empowering Scientific Training:Connotation Logic,International Experience and Local Practice

数智赋能科学训练是指在数智训练环境下,运动训练主体以数智化训练装备设施为赋能载体,以训练大数据和科学训练知识理论为赋能要素,以智能算法为赋能工具,旨在促进竞技训练科学化水平不断提升的实践活动。当前,国际诸多竞技体育强国正在围绕数字运动员(Digital Athlete)、运动员管理系统(Athlete Management System)、综合运动表现中心(High Performance Centre)等方面积极开展数智赋能科学训练实践。数智技术、训练组织、环境空间与行为实践是影响数智赋能科学训练成效的4大因素系统。因此,数智赋能科学训练的本土实践需从夯实“数智技术系统”的保障水平、增强“训练组织系统”的认知协同、完善“环境空间系统”的支持服务、提升“行为实践系统”的能力素养等方面持续精准发力,以营造有利于数智赋能科学训练的良好生态。

Data-intelligence empowering scientific training means that in the data-intelligence environment,the main body of sports training takes digital and intelligent training equipment as the carrier,takes the big training data and the scientific training knowledge as the key elements,and takes the intelligent algorithm as the tool,with the purpose of promoting the scientific level of sports training practice.At present,many international competitive sports powers are focusing on the construction of Digital Athlete,Athlete Management System and High Performance Centers to actively carrying out the scientific training empowered by data-intelligence.In practice,data-intelligence technology,training organization,environmental space and behavior practice are the four factors that affect the data-intelligence empowerment.Therefore,it is necessary to strengthen the guarantee level of“data-intelligence technology system”,strengthen the cognitive coordination of“training organization system”,perfect the support service of“environmental space system”,and improve the ability and quality of“behavior practice system”,so as to create a conducive ecology in which data-intelligence empowers the scientific training.