The Influence of Computer Network Technology Using Digital Technology on the Quality of Physical Education in Colleges under Complex Scenes

Author:

Liu Tianyang1ORCID,Zheng Qizhe2,Tian Ling3

Affiliation:

1. Physical Education Department, Guangzhou Sport University, Guangzhou, 510500 Guangdong, China

2. Computer Research Laboratory, South China University of Technology, Guangzhou, 510641 Guangdong, China

3. Public Physical Education Department, Guangzhou Maritime Institute, Guangzhou, 510725 Guangdong, China

Abstract

Recently, college physical education has received a lot of attention. Traditional physical education and teaching are unable to meet the demand of students in today’s society and cannot attract students’ interest in sports. In this study, the challenges of college physical education classrooms are examined and the teaching objectives, contents, and teaching evaluation of the course are established to improve students’ deep learning (DL) and the effect and quality of college PE. The flipped classroom model based on DL is applied to PE teaching in colleges, and the influence of classroom teaching is explored. Moreover, a teaching experiment is conducted and the teaching effect before and after the experiment is compared. The results show that the P values of the three groups of students in the five items of 50 m running, sit-up/pull-up, 800 m/1000 m, sit and reach, and crossing direction change running are 0.003, 0.012, 0.024, 0.024, and 0.048, respectively. This indicates significant improvements in the physical quality of the three groups of students after the experiment. In addition, the three groups of students have significant differences in basketball technical and tactical application ability, DL ability, and autonomous learning ability after the experiment. This exploration integrates the concept of DL with the flipped classroom, providing a theoretical supplement for the design of flipped classrooms in college PE.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3