• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于智能通信技术的体育健康教育深度融合。

Deep Integration of Physical Health Education Based on Intelligent Communication Technology.

机构信息

Shanxi University, Taiyuan, China.

出版信息

J Healthc Eng. 2021 Sep 15;2021:4323043. doi: 10.1155/2021/4323043. eCollection 2021.

DOI:10.1155/2021/4323043
PMID:34567482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8460374/
Abstract

In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the development of software technology. Physical exercise breaks the limits of all aspects of the human body and requires scientific and reliable information. Industrial cameras realize collection and high-resolution image processing functions and use artificial intelligence to create conditions for collecting scientific data. With the powerful driving force of artificial intelligence, it is believed that physical education will develop to a new height. The intellectualization of physical education makes people expect that it will also bring some inevitable problems, but as long as we continue to overcome and improve, we believe that artificial intelligence will better serve physical education and benefit mankind. Artificial intelligence is the current trend of social development. This paper takes physical education as a breakthrough point to discuss the application of artificial intelligence in physical education. This paper uses the grey GM prediction model and questionnaire survey method to build an online education platform and develop an effective education model, which can integrate the country's best educational resources and reduce time and space constraints. Providing a relaxing learning environment for education, one can learn anytime, anywhere. In a typical physical education system, the average self-efficacy score is converted from 20.48 points to 68.37 points, and the average self-score of physical education in the integrated artificial intelligence environment is converted from 30.25 points to 75.54 points. The data show that the quality of education has greatly improved.

摘要

近年来,智能医疗通信技术发展迅速,硬件技术的进步加速了软件技术的发展。体育锻炼突破了人体各方面的极限,需要科学可靠的信息。工业相机实现了采集和高分辨率图像处理功能,并利用人工智能为采集科学数据创造条件。人工智能具有强大的驱动力,相信体育教育将发展到一个新的高度。体育教育的智能化使人们期待它也会带来一些不可避免的问题,但只要我们不断克服和改进,我们相信人工智能将更好地为体育教育服务,造福人类。人工智能是当前社会发展的趋势。本文以体育教育为突破口,探讨人工智能在体育教育中的应用。本文采用灰色 GM 预测模型和问卷调查法,构建了在线教育平台,开发了有效的教育模式,整合了全国最好的教育资源,减少了时间和空间的限制。为教育提供了轻松的学习环境,人们可以随时随地学习。在典型的体育教育系统中,平均自我效能评分从 20.48 分转换为 68.37 分,而在集成人工智能环境中的体育教育平均自评从 30.25 分转换为 75.54 分。数据表明,教育质量有了很大的提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/2dba4a50f4d9/JHE2021-4323043.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/2116565b1bf0/JHE2021-4323043.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/bc8f0dc10c9a/JHE2021-4323043.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/2dba4a50f4d9/JHE2021-4323043.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/2116565b1bf0/JHE2021-4323043.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/bc8f0dc10c9a/JHE2021-4323043.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28df/8460374/2dba4a50f4d9/JHE2021-4323043.003.jpg

相似文献

1
Deep Integration of Physical Health Education Based on Intelligent Communication Technology.基于智能通信技术的体育健康教育深度融合。
J Healthc Eng. 2021 Sep 15;2021:4323043. doi: 10.1155/2021/4323043. eCollection 2021.
2
Big data-driven intelligent governance of college students' physical health: System and strategy.大数据驱动的大学生体质健康智能治理:体系与策略。
Front Public Health. 2022 Aug 9;10:924025. doi: 10.3389/fpubh.2022.924025. eCollection 2022.
3
Methods to Improve the Efficiency of Rural Physical Education Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence.人工智能背景下提高农村体育教育资源配置与利用效率的方法。
Comput Intell Neurosci. 2022 May 20;2022:3226902. doi: 10.1155/2022/3226902. eCollection 2022.
4
The Artificial Intelligence System for the Generation of Sports Education Guidance Model and Physical Fitness Evaluation Under Deep Learning.基于深度学习的体育教育指导模型生成与体质评价人工智能系统。
Front Public Health. 2022 Aug 9;10:917053. doi: 10.3389/fpubh.2022.917053. eCollection 2022.
5
Physical education movement and comprehensive health quality intervention under the background of artificial intelligence.人工智能背景下的体育运动与综合健康素质干预
Front Public Health. 2022 Sep 16;10:947731. doi: 10.3389/fpubh.2022.947731. eCollection 2022.
6
Application and Prospect Analysis of Artificial Intelligence in the Field of Physical Education.人工智能在体育领域的应用及前景分析。
Comput Intell Neurosci. 2022 Aug 13;2022:1042533. doi: 10.1155/2022/1042533. eCollection 2022.
7
Human-computer interactive physical education teaching method based on speech recognition engine technology.基于语音识别引擎技术的人机交互式体育教学方法。
Front Public Health. 2022 Jul 18;10:941083. doi: 10.3389/fpubh.2022.941083. eCollection 2022.
8
Intelligent virtual case learning system based on real medical records and natural language processing.基于真实病历和自然语言处理的智能虚拟病例学习系统。
BMC Med Inform Decis Mak. 2022 Mar 4;22(1):60. doi: 10.1186/s12911-022-01797-7.
9
ARTIFICIAL INTELLIGENCE IN MEDICAL PRACTICE: REGULATIVE ISSUES AND PERSPECTIVES.人工智能在医学实践中的应用:监管问题与展望。
Wiad Lek. 2020;73(12 cz 2):2722-2727.
10
Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology.基于人工智能技术的旅游教学系统的设计与实现
Comput Intell Neurosci. 2022 Apr 23;2022:5298530. doi: 10.1155/2022/5298530. eCollection 2022.

引用本文的文献

1
Retracted: Deep Integration of Physical Health Education Based on Intelligent Communication Technology.撤回:基于智能通信技术的体育健康教育深度融合
J Healthc Eng. 2023 Jul 12;2023:9817109. doi: 10.1155/2023/9817109. eCollection 2023.
2
College Physical Education and Training in Big Data: A Big Data Mining and Analysis System.大数据视域下高校体育教育与训练: 大数据挖掘与分析系统。
J Healthc Eng. 2021 Nov 30;2021:3585630. doi: 10.1155/2021/3585630. eCollection 2021.

本文引用的文献

1
Neuroscience-Inspired Artificial Intelligence.神经科学启发的人工智能。
Neuron. 2017 Jul 19;95(2):245-258. doi: 10.1016/j.neuron.2017.06.011.
2
Inclusive Education: A Global Agenda.全纳教育:一项全球议程。
J Coll Physicians Surg Pak. 2016 Aug;26(8):726.
3
The Brazilian version of the Childhood Health Assessment Questionnaire (CHAQ) and the Child Health Questionnaire (CHQ).《儿童健康评估问卷》(CHAQ)和《儿童健康问卷》(CHQ)的巴西版本。
Clin Exp Rheumatol. 2001 Jul-Aug;19(4 Suppl 23):S25-9.
4
School physical education: effect of the Child and Adolescent Trial for Cardiovascular Health.学校体育教育:儿童和青少年心血管健康试验的效果
Prev Med. 1996 Jul-Aug;25(4):423-31. doi: 10.1006/pmed.1996.0074.