College Physical Education Curriculum and Teaching Management Supported by Edge Cloud Computing and Deep Learning Technology

Author:

Zhao Jinkun1,Zhang Liangyu1

Affiliation:

1. Xinxiang University

Abstract

Abstract The physical education (PE) curriculum has important practical significance for contemporary college students and should be widely concerned and studied. The college PE curriculum and teaching management should be constantly improved and optimized to meet the diversified needs of college students for the PE curriculum in the new era and make the college PE curriculum a critical part of a college education. The methods of literature, questionnaire, and teaching experiment are adopted. Based on the deep learning technology, this exploration applies the flipped classroom teaching mode to the college PE curriculum, explores the impact of this teaching mode on the teaching effect, and provides a reference for the reform of the PE curriculum and the research of teaching management. Edge cloud computing technology has the advantages of multi-user sharing and resource expansion. Therefore, starting from the resource scheduling and management strategy of edge computing tasks, the research further optimizes the management strategy of physical education courses by migrating mobile data to the cloud data processing center. First, the problems existing in college PE at this stage are explored. Next, the PE curriculum and learners are analyzed to understand the factors affecting deep learning to better optimize and improve the teaching process. Finally, the objectives, contents, environment as well as evaluation of college PE teaching are studied to achieve the purpose of deep learning. The final conclusion shows that the flipped classroom teaching mode on the basis of deep learning has a significant teaching effect. It can enhance students' physical quality, improve their motivation for autonomous learning, and improve their understanding and cognitive level, that is, it can achieve the goal of promoting students' deep learning.

Publisher

Research Square Platform LLC

Reference21 articles.

1. The Rational Understanding of the Construction of College Physical Education Curriculum in China;Li H;J Hum Mov Sci,2021

2. Physical health data mining of college students based on DRF algorithm;Xue B;Wireless Pers Commun,2018

3. Vision, challenges, roles and research issues of Artificial Intelligence in Education;Hwang GJ;Computers and Education: Artificial Intelligence,2020

4. Deep learning in chemistry;Mater AC;J Chem Inf Model,2019

5. Deep learning, education and the final stage of automation;Peters MA;Educational Philos Theory,2018

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