Abstract
The purpose is to enrich the evaluation system of physical education (PE) teaching in colleges and universities and to improve PE teaching methods and improve teaching quality. Based on big data information fusion and data mining technology, firstly, the related theories of teaching evaluation are analyzed and expounded, as well as the characteristics and principles of the construction of college PE teaching evaluation system. Secondly, from the perspective of evaluation index system of sports teachers’ teaching and students’ sports teaching, the content and evaluation index of college sports teaching evaluation are analyzed under the background of big data information fusion and data mining by questionnaire survey. Combined with model test, the results show that traditional college sports teacher pays more attention to the design and teaching methods of PE and ignore the learning process of students. The evaluation process of PE ignores the individual differences of students, the feedback method lacks openness, and the evaluation process is isolated. Based on the big data technology and teaching evaluation theory, the evaluation index is designed for PE teaching in colleges and universities. The average value of the first layer indexes is above 4, and the coefficient of variation is less than 0.2, which can basically reflect the content of PE teaching evaluation and provide some reference for the research of PE teaching evaluation.
Highlights
Physical education (PE) teaching evaluation is an important part of the PE teaching process
The research subjects of the construction of college PE teaching evaluation system based on big data technology mainly include the evaluation of PE teachers from school administrators, students, and PE teachers themselves
The teaching evaluation index system of PE teachers is implemented at all levels of judgment moment, and according to the judgment, matrix data are calculated within the trip, n square, weight value W, λmax, CI, and CR
Summary
Physical education (PE) teaching evaluation is an important part of the PE teaching process. Based on information fusion of big data and data mining technology, PE teaching evaluation can provide more timely feedback on the evaluation results of PE teaching [4]. Mining association rule algorithm is the basic relationship between the information cited in the process of reasonable evaluation, so as to find out the design of education teachers and teaching effect, which is the premise and the research and development of reference teaching evaluation method. The research subjects of the construction of college PE teaching evaluation system based on big data technology mainly include the evaluation of PE teachers from school administrators, students, and PE teachers themselves. The SPSS 25.0 software is used for reliability and validity analysis, which
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