Interpretation of the Paths Used in Aerobics in Colleges and Universities under the Background of Big Data

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Abstract

Sports is an important measure proposed by our country to enhance people's physical fitness. In order to improve the overall level of aerobics in colleges and universities, it is necessary to strengthen aerobics teaching, analyze the current situation of aerobics teaching in colleges and universities, and make full preparations for improving the overall level of aerobics for college students. In the context of the era of big data, micro-courses, as a modern teaching method, have a broad application space in college aerobics teaching. This article takes the design and application of a miniature aerobics teaching platform under the background of big data as the research object. Use HowNet's keyword search method to find the application path of big data, aerobics and micro-teaching in universities. From the perspective of the main body of the system, teachers can make micro courses, and teachers can also arrange tasks for students so that students can integrate the corresponding knowledge content. Use the overall data concept to propose an online public course content optimization mechanism, sharing mechanism and talent training mechanism. Big data thinking provides a new perspective and ideas for the construction of aerobics online open courses. The purpose is to improve the teaching quality of aerobics courses and the quality of aerobics training.

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APA

Liu, J., & Huang, D. (2020). Interpretation of the Paths Used in Aerobics in Colleges and Universities under the Background of Big Data. In Journal of Physics: Conference Series (Vol. 1574). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1574/1/012118

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