大数据在青少年乒乓球运动员育才工作中的可行性研究

发布时间：2018-05-28 16:06

本文选题：大数据 + 乒乓球　；参考：《山东体育学院》2017年硕士论文

【摘要】：近年来,大数据概念悄然兴起,奥地利科学家维克托·迈尔·舍恩伯格教授率先在其著作《大数据时代》中将“大数据”定义为不是采用随机分析法这样的捷径,而是采用所有数据的方法进行分析处理,使大数据本身所具有的大量、高速、多样、价值等特性得以彰显。此后,大数据被广泛应用于社会实践当中,并逐渐形成了以海量数据催生创新发展,以及以数据为大、尊重客观数据指标的新趋势、新思潮。在竞技体育项目中,大数据的理论应用及其相关研究方兴未艾。国内外专家学者努力尝试将大数据与运动训练、运动康复、以及高水平运动员成绩提升等课题相结合,力争驱动竞技体育创新发展、解决现有技术难题、突破现阶段竞技水平。另一方面,在竞技体育运动项目中,尤其是在乒乓球运动中,青少年后备力量的培养是实现该项目长远发展、争取长足进步的基础,如何做好青少年乒乓球运动员的后备力量选拔和培育这两个育才工作的核心环节就成了一项重要的科研课题。虽然自2014年以来,国家体育总局主办了多届“球类项目大数据与体能训练”研讨会,深入探讨了大数据驱动下的青少年后备力量选拔和培育等相关议题,并充分借鉴国外先进经验和技术手段,得出了一些具有普遍指导意义的理论成果,但现阶段针对大数据在青少年乒乓球运动员育才工作中的应用研究仍处于起步阶段,与此相关的具体学术课题研究潜力仍有待深入挖掘。本文主要依据国家乒乓球运动管理部门相关统计结果和针对基层乒乓球教练员、青少年运动员的调研情况,深入分析现阶段乒乓球运动青少年后备力量选拔和培育这两个育才工作核心环节中存在的突出问题,并结合大数据应用于竞技体育项目中已取得的具有普适性的科研成果,力图将大数据维度多、数据信息量大、客观性强等优势在育才工作实践中发挥出来,从而为解决现实问题提供更广泛、更全面、更清晰的视角和创新的路径。在后备力量选拔环节中,作者通过应用大数据方法对乒乓球项目后备人才必须具备的体能、技战术和心理这三项核心素质的内涵和外延进行优化;在后备力量培育环节中,作者应用大数据,力求突破传统的多层级化选拔模式维度单一、方式方法发展滞后、主观因素强等限制。进而,为新形势下我国青少年乒乓球运动永续、健康发展提供新的思路,为不断壮大乒乓球后备力量,维护我国在世界乒坛的绝对霸主地位做出理论创新。
[Abstract]:In recent years, the concept of big data has crept up, and Austrian scientist Victor Mayer Scheinberg is the first to define "big data" in his book, the big data Age, as a shortcut not to use random analysis. Instead, the method of all data is used to analyze and process, so that the big data itself has a lot of, high speed, diversity, value and other characteristics to highlight. Since then, big data has been widely used in social practice, and has gradually formed a new trend and new trend of thought, in which mass data is used to promote innovation and development, and data is considered as a big one and objective data indicators are respected. In competitive sports, the theoretical application of big data and its related research are in the ascendant. Experts and scholars at home and abroad try to combine big data with sports training, sports rehabilitation, as well as the promotion of high-level athletes, and strive to drive the innovation and development of competitive sports, solve the existing technical problems, and break through the current competitive level. On the other hand, in competitive sports, especially in table tennis, the training of youth reserve force is the basis for achieving the long-term development of the project and striving for considerable progress. How to do a good job in the selection and cultivation of the reserve force of young table tennis players has become an important scientific research topic. Although since 2014, the State Sports Administration has hosted many seminars on "big data and physical fitness training for ball games," and has discussed in depth issues related to the selection and cultivation of youth reserve forces driven by big data. And draw full reference from foreign advanced experience and technical means, and get some theoretical results of universal guiding significance, but at the present stage, the research on the application of big data in the work of educating young table tennis players is still in its infancy. The research potential of specific academic topics related to this remains to be further explored. This article mainly based on the national table tennis management department related statistical results and aimed at the basic level table tennis coach, the young athlete investigation situation, This paper deeply analyzes the outstanding problems existing in the selection and cultivation of the reserve force of young people in table tennis at the present stage, and combines with the research achievements that have been obtained in competitive sports with the application of big data. This paper tries to give full play to the advantages of big data, such as more dimensions, large amount of data information and strong objectivity, in order to provide a broader, more comprehensive and clearer perspective and innovative path for solving practical problems. In the selection of reserve force, the author optimizes the connotation and extension of the physical ability, technique and tactics and psychology of the reserve talents in table tennis by applying the big data method, and in the link of cultivating the reserve force, the author optimizes the connotation and extension of the three core qualities, which are physical ability, technique and tactics and psychology. By using big data, the author tries to break through the single dimension of traditional multi-level selection mode, the lagged development of methods and methods, the strong subjective factors and so on. Furthermore, this paper provides new ideas for the sustainable and healthy development of Chinese youth table tennis under the new situation, and makes theoretical innovations for strengthening the reserve force of table tennis and maintaining our country's absolute dominant position in the world table tennis world.
【学位授予单位】：山东体育学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G846

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