scholarly journals The Reform of College Physical Education Teaching Methods Under the Background of Big Data

2021 ◽  
Vol 1744 (3) ◽  
pp. 032005
Author(s):  
Feng Liu
2021 ◽  
Vol 14 ◽  
pp. 7-11
Author(s):  
Ping Luo

As a new learning method rooted in the Internet and big data, knowledge graph can exercise people's sensitivity and activity of thinking, and plays an important role in cultivating students' innovation ability. However, at present, there are few studies on the combination of knowledge graph and innovation ability. Therefore, this study chooses to combine knowledge graph with college physical education (P.E.) students' innovation ability to carry out research in the field of education. In college P.E., by analyzing the factors that restrict the cultivation of students' innovative ability, this paper puts forward some methods to cultivate students' innovative ability, such as changing educational concepts, innovating teaching contents and teaching methods, adjusting evaluation methods, and innovating teaching modes, to make students become high-quality talents with all-round physical and mental development and the needs of modern society. Therefore, it is necessary to continuously deepen the educational reform, so that students can continuously improve their interest in P.E. and their innovative ability can be stimulated to a greater extent.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yong-tong Ma

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.


2020 ◽  
Vol 59 (5) ◽  
pp. 57-69
Author(s):  
Mirim Park ◽  
Kyunghwan Jang

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