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Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis

This paper creates a model based on big data, examines higher education's internationalization approach, and simultaneously conducts research. According to the research, the method used in this work has a greater accuracy rate than numerous other well-known methodologies for assessing the risk...

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Detalles Bibliográficos
Autor principal: Zhang, Minxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550417/
https://www.ncbi.nlm.nih.gov/pubmed/36225756
http://dx.doi.org/10.1155/2022/4263002
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author Zhang, Minxuan
author_facet Zhang, Minxuan
author_sort Zhang, Minxuan
collection PubMed
description This paper creates a model based on big data, examines higher education's internationalization approach, and simultaneously conducts research. According to the research, the method used in this work has a greater accuracy rate than numerous other well-known methodologies for assessing the risk associated with higher education internationalization strategies, with the maximum accuracy rate reaching 68.9%. It can be seen that the methodology used in this report is more suited for researching the higher education sector's internationalization plan. Information integration management is advancing steadily in the age of big data. To ensure the standardization, informationalization, and scientificization of school education and teaching management, consideration should also be given to the organic integration and full utilization of education internationalization data in the field of higher education internationalization strategy.
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spelling pubmed-95504172022-10-11 Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis Zhang, Minxuan J Environ Public Health Research Article This paper creates a model based on big data, examines higher education's internationalization approach, and simultaneously conducts research. According to the research, the method used in this work has a greater accuracy rate than numerous other well-known methodologies for assessing the risk associated with higher education internationalization strategies, with the maximum accuracy rate reaching 68.9%. It can be seen that the methodology used in this report is more suited for researching the higher education sector's internationalization plan. Information integration management is advancing steadily in the age of big data. To ensure the standardization, informationalization, and scientificization of school education and teaching management, consideration should also be given to the organic integration and full utilization of education internationalization data in the field of higher education internationalization strategy. Hindawi 2022-10-03 /pmc/articles/PMC9550417/ /pubmed/36225756 http://dx.doi.org/10.1155/2022/4263002 Text en Copyright © 2022 Minxuan Zhang. 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
Zhang, Minxuan
Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title_full Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title_fullStr Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title_full_unstemmed Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title_short Higher Education Environment Monitoring and Internationalization Strategy Model Using Big Data Analysis
title_sort higher education environment monitoring and internationalization strategy model using big data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550417/
https://www.ncbi.nlm.nih.gov/pubmed/36225756
http://dx.doi.org/10.1155/2022/4263002
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