数据驱动的体育课程设计与分析:信息技术与体育教学过程的整合研究

Shuwei Sun, Jun Wang, Su Yan, L. Kong, Ningning He, Jie Wu
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引用次数: 1

摘要

本文在分析体育教学案例设计与效果的基础上,首先利用python标准库:Jieba和Wordcloud、Pandas、Numpy等,对某MOOC课程案例的教学笔记设计进行分析。然后,对某高校连续15学年的71072名学生体能测试数据进行统计和数据可视化技术分析。通过这两种实验方法的具体应用和数据分析,我们将研究如何将信息技术与体育教学相结合。同时,对教学课程体系设计、课程案例设计和学生物理测试数据分析进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-Driven Physical Education Curriculum Design and Analysis : Research on the Integration of Information Technology and PE Teaching Process
Based on the analysis of the design and effect of sports teaching cases, this article first uses the python standard libraries: Jieba and Wordcloud, Pandas, Numpy, etc., to analyze the design of the teaching notes of a MOOC course case. Then, the paper performs technical analysis of statistics and data visualization on 71,072 students physical test data of a university for 15 consecutive academic years. Through the specific application of these two experimental methods and data analysis, we will study how to integrate information technology with physical education. At the same time, we try to evaluate the teaching curriculum system design, curriculum case design and student physical test data analysis.
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