摘要
文章采用文献资料法、归纳法、逻辑分析法等方法,在大数据背景下结合耗散结构理论,给高校体育教学发展带来的新思路。物联网技术的发展对人们的生活改变,不仅仅体现在支付手段、出行手段、购物方式上,还包括对教师授课方式、大学生接受知识途径的改变。在机遇方面,大数据给我们带来了多种多样的学习方式,在提高学习质量的同时也增强了学习的自主性。另一方面,大数据、互联网的突飞猛进,必然给传统的体育教学带来了冲击,与此同时,我们结合当代背景使用旧的理论知识来解决新的问题。耗散结构理论在大数据背景下的运用,既是机遇也是挑战,只有把握住机遇,克服挑战,才能运用大数据更好地服务于现代体育教学。
The article adopts literature data method,induction method,logic analysis method and so on,combined with dissipative structure theory under the background of big data,to bring new ideas to the development of college physical education.With the development of the Internet of Things technology,changes in people’s lives are not only reflected in payment methods,travel methods,and shopping methods,but also include changes in teacher teaching methods and college students’ways of receiving knowledge.In terms of opportunities,big data has brought us a variety of learning methods.While improving the quality of learning,it also enhances the autonomy of learning.On the other hand,the rapid advancement of big data and the Internet will inevitably have an impact on traditional physical education;at the same time,we use old theoretical knowledge to solve new problems in combination with contemporary backgrounds.The application of dissipative structure theory in the context of big data is both an opportunity and a challenge;only by seizing the opportunity and overcoming the challenge can we use big data to better serve modern physical education.
作者
田鑫
Tian Xin(Jilin Sport University,Changchun 130000,Jilin,China)
出处
《体育科技文献通报》
2021年第5期125-127,共3页
Bulletin of Sport Science & Technology
关键词
大数据
体育教学
耗散理论
big data
physical education
dissipation theory