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Push Method of Chinese Online Education Personalized Course Content for Foreign Students

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e-Learning, e-Education, and Online Training (eLEOT 2023)

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Abstract

In order to improve the quality of Chinese online education personalized course content push service, the weighted information entropy is introduced to design and research the content push service of Chinese online education. Based on the interest preference of Chinese online learning of foreign students in colleges and universities in China, complete the construction of personalized portrait of foreign students in colleges and universities in China; extract features from the contents of personalized courses of Chinese online education; calculate the similarity between the contents and images of various courses by using weighted information entropy; and realize the push of the contents of personalized courses of Chinese online education of foreign students in colleges and universities in China by using collaborative filtering algorithm. Through comparative experiments, it is proved that this method can improve the classification and push precision of course content, shorten the execution time and recovery time.

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Authors and Affiliations

  1. China West Normal University International College, Nanchong, 637000, China

    Jiaxiu Han

  2. Shanghai Civil Aviation College, Shanghai, 200232, China

    Miao Guo

Authors
  1. Jiaxiu Han
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  2. Miao Guo
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Correspondence to Jiaxiu Han .

Editor information

Editors and Affiliations

  1. Nan**g University of Posts and Telecommunications, Nan**g, China

    Guan Gui

  2. Yantai University, Yantai, China

    Ying Li

  3. Institute of High Performance Computing, Fusionopolis, Singapore

    Yun Lin

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Han, J., Guo, M. (2024). Push Method of Chinese Online Education Personalized Course Content for Foreign Students. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-51465-4_9

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  • DOI: https://doi.org/10.1007/978-3-031-51465-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51464-7

  • Online ISBN: 978-3-031-51465-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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