In order to realize the accurate evaluation of physical education teaching quality, a big data analysis model of physical education teaching quality evaluation is proposed, and the system analysis the evaluation of physical education teaching .Big data classification and identification of physical education quality are carried out by using K-means clustering method. According to the results of statistical feature clustering of physical education quality, the input effectiveness of physical education hardware facilities is evaluated. Establish the quantitative evaluation model of financial expenditure and PE teaching quality evaluation project performance, adopt F statistic quantity analysis method to adjust the structure of physical education teaching hardware input and teacher force input. According to the statistical analysis results of physical education teaching quality evaluation, the self-adaptive evaluation of physical education teaching quality evaluation is carried out, and the optimization of physical education teaching quality evaluation is realized by combining the big data analysis method.

논 문 6.
Abstract
I. Introduction
II. Construction of big data analysis model and statistical sequenceanalysis of physical education teaching quality evaluation
    1. Modeling principle and overall implementation flow
    2. Modeling data analysis of physical education quality evaluation
    3. Optimization realization of quality evaluation model for PE teachingquality evaluation project
III. Conclusions
References

• DONG XIAOXUE(Public foundation, Weifang University of Science and Technology, Weifang, China, Ph. d. student at Namseoul University)