This project involves the technical fields of direct application to students' primary selection, accurate options to show teenagers' sports ability, teenagers' sports function detection and correction, teenagers' physical fitness and teenagers' sports training, and discloses the methods to discover teenagers' sports potential under the background of big data. The method steps are as follows: step one, measure physical fitness and sports function in the form of game class, set up 12 games to discover teenagers' sports potential, and measure more than 60 sports function indicators through the course form; Step 2, measure the body function through the instrument. The discovery method of teenagers' sports potential under the background of big data, through the application of big data method, based on the comprehensive application of sports ergonomics, sports metrology, sports material selection and big data, combined with the accurate data report given by big data platform, makes the evaluation system more scientific, accurate and effective.

Si Yunxiang, Jiang Qianqiu, Lin Yilin, Dai Wanglong. Research on the Selection Method of Students' Sports Quality Based on Big Data. International Journal of New Developments in Education (2023) Vol. 5, Issue 21: 121-125. https://doi.org/10.25236/IJNDE.2023.052122.

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