Abstract
Improving the quality of college physical education is of great significance to facilitating the integrated development of students' psyches and physical. Establishing a more systematic, effective, and social training needs of education quality evaluation hierarchy is also the centerpiece of the college physical culture education administration. Massive information technology provides new conception and methods to this, and supply advantage sustains for furtherance the education ecology development. Based on the network education system, this paper uses big data to quantify the evaluation indexes of physical education teaching, so as to actualize the timely dynamic evaluation of the process that is physical teaching and learning. This essay constructs the evaluation index system of college physical education teaching quality by combining mensurable and qualitative methods. On the basis of previous studies, an evaluation model of college physical education teaching quality based on artificial intelligence mass data calculation is designed. The experiment authenticates that the model evaluation risk coefficient is 1.93 lower than the optimized model. The experiment also proves that the model is conducive to elevating the education quality.
Highlights
In college physical education, teaching quality is a significant relationship to students’ basic physique, students’ all-round growth, and the future of the motherland. ere are many shackles still exist in the physical education evaluation sequence in college step, such as paying too much attention to qualitative evaluation and result evaluation, taking achievements as reference, teaching practice not included in the evaluation system, and lack of effective incentive measures for teachers
Innovation Point. e professional application of advanced data advances educational management. is paper is supported by deep mining of big data. e innovation of this article has the following three points: (1) multiple quantitative analysis methods are tried to determine the weight allocation of indicators and their validity is checked and compared; (2) try to construct a scientific and dynamic college physical education evaluation system and method based on network framework; and (3) it breaks through the traditional evaluation method of school teaching quality, which is conducive to promoting the informational and data of education management
Analytic hierarchy process is a method of calculating weight, and fuzzy comprehensive evaluation method is a method of comprehensive evaluation of problems
Summary
E innovation of this article has the following three points: (1) multiple quantitative analysis methods are tried to determine the weight allocation of indicators and their validity is checked and compared; (2) try to construct a scientific and dynamic college physical education evaluation system and method based on network framework; and (3) it breaks through the traditional evaluation method of school teaching quality, which is conducive to promoting the informational and data of education management. Model of this paper is based on Java language design implementation, and the main functions include evaluation system, data acquisition and screening, data service, and comprehensive analysis Teaching evaluation indicators are designed according to different evaluation identities, and the specific content will be reflected in the experiment; teaching evaluation task is regularly organized by the school to conduct teaching evaluation on curriculum and teacher teaching; the evaluation data are summarized in the data management module, and the correlation degree is analyzed [28]
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