Introduction of Progress in Education under Recent Technology Revolution
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Progress in Education under Recent Technology Revolution-guest editorial_submit.pdf
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ArticleAuthors
Li, ChengyanGao, Xin

Sun, Qingquan
KAUST Department
Computational Bioscience Research Center (CBRC)Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Structural and Functional Bioinformatics Group
Date
2021-02-05Embargo End Date
2022-02-05Permanent link to this record
http://hdl.handle.net/10754/667519
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Nowadays, the new technology revolution brings a fast progress for pedagogy. The popularization of cloud computing, edge computing and 5G network provides a new opportunity for the development of mobile education, which makes the lifelong education and fragmented education possible. Meantime, the worldwide use of artificial intelligence (AI) and big data technology are changing research domain of educational technology, and will bring novel study in individualized education and teaching reformation. So, there are many remaining scientific and technical problems in it. For example, the use of edge computing pattern and multi-modal information in education, the application of AI and big data technology in teaching reformation, image information extraction from user’s handwritten manuscripts, and the stability of cloud platform of mobile education, etc. Meantime, emerging methods which can improve the efficiency of this domain are also welcome.Citation
Li, C., Gao, X., & Sun, Q. (2021). Introduction of Progress in Education under Recent Technology Revolution. Mobile Networks and Applications. doi:10.1007/s11036-021-01732-6Sponsors
Nowadays, the new technology revolution brings a fast progress for pedagogy. The popularization of cloud computing, edge computing and 5G network provides a new opportunity for the development of mobile education, which makes the lifelong education and fragmented education possible. Meantime, the worldwide use of artificial intelligence (AI) and big data technology are changing research domain of educational technology, and will bring novel study in individualized education and teaching reformation. So, there are many remaining scientific and technical problems in it. For example, the use of edge computing pattern and multi-modal information in education, the application of AI and big data technology in teaching reformation, image information extraction from user’s handwritten manuscripts, and the stability of cloud platform of mobile education, etc. Meantime, emerging methods which can improve the efficiency of this domain are also welcome.Publisher
Springer NatureJournal
Mobile Networks and ApplicationsAdditional Links
http://link.springer.com/10.1007/s11036-021-01732-6ae974a485f413a2113503eed53cd6c53
10.1007/s11036-021-01732-6