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Deep Integration of Physical Health Education Based on Intelligent Communication Technology
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 informatio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460374/ https://www.ncbi.nlm.nih.gov/pubmed/34567482 http://dx.doi.org/10.1155/2021/4323043 |
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author | Liu, Min Bu, Jianjun |
author_facet | Liu, Min Bu, Jianjun |
author_sort | Liu, Min |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8460374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-84603742021-09-24 Deep Integration of Physical Health Education Based on Intelligent Communication Technology Liu, Min Bu, Jianjun J Healthc Eng Research Article 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. Hindawi 2021-09-15 /pmc/articles/PMC8460374/ /pubmed/34567482 http://dx.doi.org/10.1155/2021/4323043 Text en Copyright © 2021 Min Liu and Jianjun Bu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Min Bu, Jianjun Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title | Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title_full | Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title_fullStr | Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title_full_unstemmed | Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title_short | Deep Integration of Physical Health Education Based on Intelligent Communication Technology |
title_sort | deep integration of physical health education based on intelligent communication technology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460374/ https://www.ncbi.nlm.nih.gov/pubmed/34567482 http://dx.doi.org/10.1155/2021/4323043 |
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