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.
Original language | English (US) |
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Journal | Mobile Networks and Applications |
DOIs | |
State | Published - Feb 5 2021 |
Bibliographical note
KAUST Repository Item: Exported on 2021-02-23Acknowledgements: 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.