In the context of the rapid development of information technology today,Big Data Analysis has become an important tool in many fields,and the field of sports science is no exception.The physical fitness level of college students directly affects their learning efficiency and quality of life,while traditional physical training methods often overlook the personalized needs of training.With the development of Big Data technology,collecting and analyzing data related to physical fitness training has become possible,which provides new ideas for formulating more accurate and effective training plans.This research mainly explores the potential application of Big Data Analysis technology in physical training,summarizes the problems existing in the current Big Data Analysis platform,and proposes optimization methods to improve the actual effect of physical training,thereby improving the overall health status of students and further promoting the development of physical education in colleges and universities.
关键词
大数据分析/高校学生/体能训练/优化方法
Key words
Big Data Analysis/College students/Physical fitness training/Optimization methods
维普
万方数据