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International Conference on Multimedia Technology and Enhanced Learning

ICMTEL 2021: Multimedia Technology and Enhanced Learning pp 117–127Cite as

Online Matching Method of News Communication Innovative Teaching Mode Driven by Artificial Intelligence

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Abstract

In order to improve the quality of training news communication talents, optimize the teaching mode of news communication innovation, combine with artificial intelligence technology, innovate the content of news communication, deeply analyze the types of students’ learning characteristics, and match the different students’ online learning content and methods according to the teaching content and the training needs of professional talents, so as to improve the teaching effect of news communication innovation, and provide a mixed teaching mode of online and offline news communication that can be discussed or criticized.

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Author information

Authors and Affiliations

  1. Press Department, Anhui University of Arts, Hefei, 230002, China

    Jia Qian

  2. Anhui University of Arts, Hefei, 230002, China

    Li-li Wang

Authors
  1. Jia Qian
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  2. Li-li Wang
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Editor information

Editors and Affiliations

  1. Hunan Normal University, Changsha, China

    Weina Fu

  2. University of Jinan, Jinan, China

    Yuan Xu

  3. University of Leicester, Leicester, UK

    Shui-Hua Wang

  4. University of Leicester, Leicester, UK

    Yudong Zhang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Qian, J., Wang, Ll. (2021). Online Matching Method of News Communication Innovative Teaching Mode Driven by Artificial Intelligence. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-82565-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-82565-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82564-5

  • Online ISBN: 978-3-030-82565-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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