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International Journal of Sports Technology, 2021, 2(2); doi: 10.38007/IJST.2021.020201.

Interest Cultivation Mode in College Physical Education Training Based on Big Data


Qiang Chen and Yanhong Zhang

Corresponding Author:
Qiang Chen

Nanchang Institute of Science and Technology, Jiangxi 330108, China


With the continuous development and application of big data, the current teaching model has undergone great changes, and the drawbacks of traditional teaching methods have gradually been exposed. In terms of physical education, teaching reform in the era of big data is imperative. In the era of big data, how to seize the opportunity and effectively use big data technology and computer information technology to carry out teaching is a question that every teaching worker must think about. The problem is that online teaching has a positive effect and influence on cultivating students’ sports awareness and raising interest in classroom teaching. At the same time, in the context of big data, the widespread popularization of sports applications has brought huge opportunities to improve the effect of university network teaching, and discussed the factors and significance that affect the effect of university network teaching, so as to promote the innovative and differentiated development of university sports work. And comprehensively analyze the strategy of improving the effect of colleges and universities network teaching under the background of big data, and then promote the development of college physical education to effectively carry out college sports work, and continuously cultivate students' concept and ability of lifelong sports. To develop high-quality college students’ physical education curriculum, it is necessary to identify the key directions of teaching reform and carry out work in a planned way. Combining the advantages of big data, in the process of physical education curriculum reform, combined with the collected data on the overall physical fitness of college students, feedback on the effects of teaching activities, and students’ personal interest in physical exercise, etc., an intuitive analysis can be made through the comparison of comprehensive data: Whether the teaching work has achieved the expected teaching effect, whether the students’ physical literacy and physical fitness have been improved, etc., and through the lack of teaching derived from the data, the bottleneck facing the physical education curriculum is analyzed. According to the needs of current teaching development, explore A scientific teaching method suitable for the individual needs of students and the direction of teaching reform. This article analyzes and discusses the reform measures of physical education in the era of big data, and learns from the analysis of experts to study the application of big data in the cultivation of college physical education and training interest.


Big Data, Physical Training, High-Efficiency Physical Education, Interest Training Model

Cite This Paper

Qiang Chen, Yanhong Zhang. Interest Cultivation Mode in College Physical Education Training Based on Big Data. International Journal of Sports Technology (2021), Vol. 2, Issue 2: 1-8. https://doi.org/10.38007/IJST.2021.020201.


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