Competency Model of College PHYSICAL Education Teachers based on Big Data

This paper aims to construct a competency model based on the sum of a series of competency characteristics required by PEICAU (physical education in collage and universities) under the background of big data, and use this model to predict the performance of the competency model of PEICAU. After one semester of training, the work performance of the experimental group and the control group was investigated. The results of statistical analysis showed that the average score of the experimental group was higher than that of the control group in terms of overall work performance, and there was a significant difference at the level of 0.01. In terms of learning performance, the mean score of the experimental group was higher than that of the control group, and the difference was significant at the level of 0.001. Experimental results show that, by setting the different training contents, physical education teachers through training, there are obvious differences in enhancing performance, based on PE teachers' competence characteristics model of training the effect is higher than that of traditional physical education teacher training effect of these measures, the PE teachers' work characteristic model of performance predictive power got a further test by experiment.