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A survey on big data-enabled innovative online education systems during the COVID-19 pandemic
With the spread of COVID-19 around the world, the education industry faces enormous challenges. Some colleges and universities have launched online teaching. Comprehensive online teaching and student health checkups help students complete the set teaching content and return to school as soon as poss...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800816/ http://dx.doi.org/10.1016/j.jik.2022.100295 |
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author | Cui, Yuhuan Ma, Zezhong Wang, Liya Yang, Aimin Liu, Qiumei Kong, Shanshan Wang, Huifang |
author_facet | Cui, Yuhuan Ma, Zezhong Wang, Liya Yang, Aimin Liu, Qiumei Kong, Shanshan Wang, Huifang |
author_sort | Cui, Yuhuan |
collection | PubMed |
description | With the spread of COVID-19 around the world, the education industry faces enormous challenges. Some colleges and universities have launched online teaching. Comprehensive online teaching and student health checkups help students complete the set teaching content and return to school as soon as possible. With the development of big data, combined with the epidemic risk we are facing, the rational use of big data and the internet for innovative online education has become a mainstream teaching method. Colleges and universities are not yet familiar with the development prospects and future of online education. Through the research of this paper, we can understand the combination of online education and the development of big data and promote its application in colleges and universities. Not only have innovative online education platforms such as MOOC and DingTalk been widely used, but innovative online education methods such as virtual classrooms also have been created. Based on the current epidemic background, this paper analyzes the development of online education, introduces the impact of the combination of online education and big data, and introduces innovative online education technologies and their effects. It helps online education under the influence of the new coronavirus epidemic, operating big data technology to analyze the current prospects and development of online education, showing the combination of big data technology and online education through the analysis of big data technology, and ending with more expectations on other aspects of the use of big data, which affects the online education industry as well as other industries. Finally, we summarize the combination of big data and innovative online education since the emergence of COVID-19 and introduce the concepts and methods of combining online education and big data technology in detail. The online education platform also makes a reasonable introduction. The thesis can be used to understand the problems and challenges faced by innovative online education in the context of the new coronavirus epidemic and look forward to the future on this basis. |
format | Online Article Text |
id | pubmed-9800816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98008162022-12-30 A survey on big data-enabled innovative online education systems during the COVID-19 pandemic Cui, Yuhuan Ma, Zezhong Wang, Liya Yang, Aimin Liu, Qiumei Kong, Shanshan Wang, Huifang Journal of Innovation & Knowledge Article With the spread of COVID-19 around the world, the education industry faces enormous challenges. Some colleges and universities have launched online teaching. Comprehensive online teaching and student health checkups help students complete the set teaching content and return to school as soon as possible. With the development of big data, combined with the epidemic risk we are facing, the rational use of big data and the internet for innovative online education has become a mainstream teaching method. Colleges and universities are not yet familiar with the development prospects and future of online education. Through the research of this paper, we can understand the combination of online education and the development of big data and promote its application in colleges and universities. Not only have innovative online education platforms such as MOOC and DingTalk been widely used, but innovative online education methods such as virtual classrooms also have been created. Based on the current epidemic background, this paper analyzes the development of online education, introduces the impact of the combination of online education and big data, and introduces innovative online education technologies and their effects. It helps online education under the influence of the new coronavirus epidemic, operating big data technology to analyze the current prospects and development of online education, showing the combination of big data technology and online education through the analysis of big data technology, and ending with more expectations on other aspects of the use of big data, which affects the online education industry as well as other industries. Finally, we summarize the combination of big data and innovative online education since the emergence of COVID-19 and introduce the concepts and methods of combining online education and big data technology in detail. The online education platform also makes a reasonable introduction. The thesis can be used to understand the problems and challenges faced by innovative online education in the context of the new coronavirus epidemic and look forward to the future on this basis. The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge. 2023 2022-12-30 /pmc/articles/PMC9800816/ http://dx.doi.org/10.1016/j.jik.2022.100295 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Cui, Yuhuan Ma, Zezhong Wang, Liya Yang, Aimin Liu, Qiumei Kong, Shanshan Wang, Huifang A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title | A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title_full | A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title_fullStr | A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title_full_unstemmed | A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title_short | A survey on big data-enabled innovative online education systems during the COVID-19 pandemic |
title_sort | survey on big data-enabled innovative online education systems during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800816/ http://dx.doi.org/10.1016/j.jik.2022.100295 |
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