Data Analysis Model of Wearable Devices in Physical Education

被引：3
|
作者：
Dong, Qian [1 ,2 ]
Qu, Ximei [1 ,2 ]
Miao, Rong [1 ,2 ]
机构：
[1] Peking Univ, Grad Sch Educ, Dept Educ Technol, Beijing, Peoples R China
[2] Zhejiang Radio & Televis Univ, Taizhou, Zhejiang, Peoples R China
来源：
BLENDED LEARNING: EDUCATIONAL INNOVATION FOR PERSONALIZED LEARNING, ICBL 2019 | 2019年 / 11546卷
关键词：
Wearable devices; Physical education; Data analysis model;
D O I：
10.1007/978-3-030-21562-0_19
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
At present, the physical health of primary and secondary school students is declining while physical education plays an important role in improving students' physical quality. However, how to judge scientifically and accurately students' exercise load and ensure students' exercise safety have become one of the constraints in physical education. The application of wearable devices can help teachers to understand students' exercise data in time, but the analysis procedure is complicated. Based on this, this paper puts forward a data analysis model of wearable devices in physical education. The four steps are as follows: (1) understand the whole (2) compare and observe (3) analysis and hypothesis (4) calibrate and test. And then taking Binhe Primary School in Zhejiang as an example, we apply this model to analysis the data.
引用
收藏
页码：225 / 238
页数：14
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