Impact of Big Data Technology on the Diversity of Physical Education Teaching Methods

With the advancement of society and the increase of computer, network and digital media technology, big data technology has become an indispensable part of modern service industry. Big data technology has been developed in all aspects of the education industry, and the value of products and services created has gradually increased. Big data plays an important role in technology in computer education and other aspects. This article mainly introduces the teaching method research of computer education under the background of big data. This article uses the research of the teaching method of computer education under the background of big data, starting from the two aspects of computer education and basic courses, rationally analyzing the feasibility of the teaching method of computer education. From the labor market in our country, the demand for computer talents is concentrated on application-oriented talents, but the purpose of computer education in many schools mostly stays in traditional research-based teaching, resulting in a decline in the quality of education, and it is difficult to meet the market’s demand for computer application-oriented talents. It is the main body that determines the course content and teaching mode. The experimental results of this paper show that the research on the teaching methods of computer education under the background of big data has increased the efficiency of computer education by 18%. The limitations of the research on the teaching methods of computer education under the background of big data are analyzed, and the methods and ways of computer ability training are analyzed. Discuss and summarize, so as to enrich the academic research results.

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Research on Cultivating Students' Innovative Ability in College Physical Education based on Knowledge Graph

BCP Social Sciences & Humanities ◽

10.54691/bcpssh.v14i.159 ◽

2021 ◽

Vol 14 ◽

pp. 7-11

Author(s):

Ping Luo

Keyword(s):

Big Data ◽

Physical Education ◽

Teaching Methods ◽

Modern Society ◽

Knowledge Graph ◽

The Internet ◽

Learning Method ◽

High Quality ◽

New Learning ◽

Innovation Ability

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.

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College Physical Education Teaching Methods Under the Background of Big Data

Lecture Notes in Electrical Engineering - Innovative Computing ◽

10.1007/978-981-16-4258-6_118 ◽

2022 ◽

pp. 967-974

Author(s):

Yongzhi Yang

Keyword(s):

Big Data ◽

Physical Education ◽

Teaching Methods

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Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System

Journal of Sensors ◽

10.1155/2021/7168855 ◽

2021 ◽

Vol 2021 ◽

pp. 1-15

Author(s):

Yong-tong Ma

Keyword(s):

Data Mining ◽

Big Data ◽

Physical Education ◽

Information Fusion ◽

Teaching Methods ◽

Evaluation System ◽

Evaluation Process ◽

Teaching Evaluation ◽

Evaluation Index ◽

Mining Technology

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.

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