游松辉, 邹尚均, 李敬平, 王泽军. 大数据时代中国体育学科研究的新进展与发展趋势[J]. 成都体育学院学报, 2023, 49(4): 1-8. DOI: 10.15942/j.jcsu.2023.04.001
引用本文: 游松辉, 邹尚均, 李敬平, 王泽军. 大数据时代中国体育学科研究的新进展与发展趋势[J]. 成都体育学院学报, 2023, 49(4): 1-8. DOI: 10.15942/j.jcsu.2023.04.001
YOU Songhui, ZOU Shangjun, LI Jingping, WANG Zejun. Research Progress and Development Trend of Sports Discipline in China in the Big Data Era[J]. Journal of Chengdu Sport University, 2023, 49(4): 1-8. DOI: 10.15942/j.jcsu.2023.04.001
Citation: YOU Songhui, ZOU Shangjun, LI Jingping, WANG Zejun. Research Progress and Development Trend of Sports Discipline in China in the Big Data Era[J]. Journal of Chengdu Sport University, 2023, 49(4): 1-8. DOI: 10.15942/j.jcsu.2023.04.001

大数据时代中国体育学科研究的新进展与发展趋势

Research Progress and Development Trend of Sports Discipline in China in the Big Data Era

  • 摘要: 大数据时代的来临极大影响了体育学的研究范式,使体育学面临又一次的变革。大数据不但给体育学理论带来了新的变化,同时为体育学者研究思维的转变提供了重要遵循。文章通过文献资料、逻辑推理等研究方法,首先介绍体育大数据,随后着重论述大数据时代中国体育学科体系中9个分支学科研究的新进展,最后探索性提出大数据时代中国体育学科研究的3大发展趋势,即从小样本到大数据、多模态体育数据、知识和数据协同驱动,这或许将有助于学界构建以大数据技术为中心的体育学研究新范式。

     

    Abstract: The advent of the big data era has greatly affected the research paradigm of sport science and made sport science face a new wave of reform. Big data not only brings new changes to sports theory, but also provides important guidelines for sports scholars to change their thinking. This paper, using the methods of literature research and logical inference, first introduces sports big data, then focuses on the framework of sports discipline system in China and its research progress in 9 branches in the big data era. Finally, this paper proposes the 3 development trends of sports discipline research in China in the big data era, that is, from limited samples to big data, multi-modal sports data, knowledge-data co-driven research. This may help construct a new research paradigm of sport science with big data technology as the core.

     

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