A survey on big data-enabled innovative online education systems during the COVID-19 pandemic

被引:46
作者
Cui, Yuhuan [1 ,2 ]
Ma, Zezhong [1 ,3 ,4 ]
Wang, Liya [1 ,3 ,5 ]
Yang, Aimin [1 ,2 ,3 ,4 ,5 ]
Liu, Qiumei [1 ,3 ]
Kong, Shanshan [1 ,2 ]
Wang, Huifang [1 ,3 ]
机构
[1] North China Univ Sci & Technol, Coll Sci, Tangshan, Hebei, Peoples R China
[2] North China Univ Sci & Technol, Univ Math Course Grp Virtual Teaching & Res Off, Minist Educ, Tangshan, Hebei, Peoples R China
[3] North China Univ Sci & Technol, Hebei Key Lab Data Sci & Applicat, Tangshan, Hebei, Peoples R China
[4] North China Univ Sci & Technol, Hebei Engn Res Ctr Intelligentizat Iron Ore Optimi, Tangshan, Hebei, Peoples R China
[5] North China Univ Sci & Technol, Coll Sci, Tangshan, Hebei, Peoples R China
来源
JOURNAL OF INNOVATION & KNOWLEDGE | 2023年 / 8卷 / 01期
关键词
COVID-19; Big data; Innovative online education platform; ARTIFICIAL-INTELLIGENCE; ANALYTICS;
D O I
10.1016/j.jik.2022.100295
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the spread of COVID-19 around the world, the education industry faces enormous challenges. Some col-leges 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 universi-ties 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 plat-forms such as MOOC and DingTalk been widely used, but innovative online education methods such as vir-tual 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 pros-pects and development of online education, showing the combination of big data technology and online edu-cation 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 sum-marize 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 epi-demic and look forward to the future on this basis. & COPY; 2022 The Authors. Published by Elsevier Espana, S.L.U. on behalf of Journal of Innovation & Knowledge. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
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页数:18
相关论文
共 77 条
[1]  
Al-Kumaim NH, 2021, International Journal of Interactive Mobile Technologies (iJIM), V15, P140, DOI [10.3991/ijim.v15i05.20203, 10.3991/ijim.v15i05.20203, DOI 10.3991/IJIM.V15I05.20203]
[2]   The Effectiveness of Online Education in Basic Medical Sciences Courses during the COVID-19 Pandemic in Saudi Arabia: Cross-Sectional Study [J].
Alblihed, Mohamed A. ;
Aly, Syed Moyn ;
Albrakati, Ashraf ;
Eldehn, Ahmed Fathy ;
Ali, Shaimaa Ahmed Awad ;
Al-Hazani, Tahani ;
Albarakati, Mohammed Hamed ;
Abdel Daim, Mohamed ;
Al-sharif, Anas ;
Albarakati, Alaa Jameel A. ;
Elmahallawy, Ehab Kotb .
SUSTAINABILITY, 2022, 14 (01)
[3]   Coronavirus Pandemic (COVID-19): Emotional Toll Analysis on Twitter [J].
Alowibdi, Jalal S. ;
Alshdadi, Abdulrahman A. ;
Daud, Ali ;
Dessouky, Mohamed M. ;
Alhazmi, Essa Ali .
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2021, 17 (02) :1-21
[4]   Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge [J].
Anshari, Muhammad ;
Alas, Yabit ;
Guan, Lim Sei .
EDUCATION AND INFORMATION TECHNOLOGIES, 2016, 21 (06) :1663-1677
[5]   Effect of COVID-19 on Education in Saudi Arabia and E-Learning Strategies [J].
Bahanshal, Dalal ;
Khan, Intakhab Alam .
ARAB WORLD ENGLISH JOURNAL, 2021, :359-376
[6]   Big data in education: a state of the art, limitations, and future research directions [J].
Baig, Maria Ijaz ;
Shuib, Liyana ;
Yadegaridehkordi, Elaheh .
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2020, 17 (01)
[7]  
Bienkowski M., 2012, Enhancing teaching and learning through educational data mining and learning analytics: An issue brief
[8]  
Bowen Su, 2020, Journal of Physics: Conference Series, V1616, DOI [10.1088/1742-6596/1616/1/012018, 10.1088/1742-6596/1616/1/012018]
[9]   Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk [J].
Brdesee, Hani Sami ;
Alsaggaf, Wafaa ;
Aljohani, Naif ;
Hassan, Saeed-Ul .
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2022, 18 (01)
[10]   Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? [J].
Brem, Alexander ;
Viardot, Eric ;
Nylund, Petra A. .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 163