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    Introduction of Progress in Education under Recent Technology Revolution

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    Name:
    Progress in Education under Recent Technology Revolution-guest editorial_submit.pdf
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    417.2Kb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Li, Chengyan
    Gao, Xin cc
    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
    2021-02-05
    Embargo End Date
    2022-02-05
    Permanent link to this record
    http://hdl.handle.net/10754/667519
    
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    Abstract
    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/s11036-021-01732-6
    Sponsors
    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 Nature
    Journal
    Mobile Networks and Applications
    DOI
    10.1007/s11036-021-01732-6
    Additional Links
    http://link.springer.com/10.1007/s11036-021-01732-6
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11036-021-01732-6
    Scopus Count
    Collections
    Articles; Structural and Functional Bioinformatics Group; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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