Abstract
At present, the quality of physical education in most colleges and universities is relatively low, and most college students do not have adequate physical education and professional ability. In the process of physical education, reasonable evaluation indicators are used to scientifically and effectively evaluate the quality of physical education in universities. It is related to the improvement of physical education teaching and the overall development of students’ body and mind. It is the key link to promote the improvement of physical education teaching level. This article aims to analyze the college PE teaching quality evaluation model based on the analysis of sports literacy and vocational ability, and to analyze these college data that require massive amounts. These data are stored in the database, and mining a large amount of unknown useful information and using big data to analyze can make the results more accurate. The original purpose is to use big data technology to evaluate the physical education and teaching ability of physical education in colleges and universities and to analyze various issues affecting the quality of physical education in colleges and universities. Taking Beijing Sport University as the research object, use the evaluation of teaching quality to obtain evaluation data, based on the perspective of big data analysis, study the impact of curriculum reform projects on quality, evaluate the status of college teaching levels, analyze the factors restricting the improvement of teaching quality, and improve school physical education. Teaching Quality.
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Wang, J. (2020). Analysis of Physical Education Quality Evaluation Model in Colleges and Universities Based on Big Data Analysis. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_83
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DOI: https://doi.org/10.1007/978-3-030-43306-2_83
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