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e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I

Research Article

Japanese Online+Offline Hybrid Educational Resources Sharing System Based on Data Classification

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-51465-4_18,
        author={Yi Wei},
        title={Japanese Online+Offline Hybrid Educational Resources Sharing System Based on Data Classification},
        proceedings={e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2024},
        month={1},
        keywords={Data classification Japanese teaching Online education Offline education Mixed educational resources Resource sharing Support vector machine Functional requirements},
        doi={10.1007/978-3-031-51465-4_18}
    }
    
  • Yi Wei
    Year: 2024
    Japanese Online+Offline Hybrid Educational Resources Sharing System Based on Data Classification
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-51465-4_18
Yi Wei1,*
  • 1: School of Foreign Languages and International Education, Chengdu Technological University
*Contact email: weiyiry0855@163.com

Abstract

In the process of online+offline mixed educational resources sharing, due to the lack of effective data classification, the response rate of student terminal education server is slow, and it is difficult to share Japanese teaching resources quickly. Therefore, a Japanese online+offline mixed educational resources sharing system based on data classification is studied. Improve the hardware design of the sharing system from three aspects: resource management module, resource retrieval module, and user management module. On this basis, the principle of support vector machine is combined to define the sample data set, and relevant parameter indicators are combined to solve the expression of data classification model. Then, by analyzing the specific functional requirements of each application unit, the processing of mixed educational resources is realized. Combined with the relevant hardware application structure, the design of Japanese online+offline mixed educational resources sharing system based on data classification is completed. The experimental results show that under the effect of the data classification model, the average response rate of the student terminal education server has significantly improved, which is in line with the original intention of the system design to quickly share Japanese teaching resources.

Keywords
Data classification Japanese teaching Online education Offline education Mixed educational resources Resource sharing Support vector machine Functional requirements
Published
2024-01-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-51465-4_18
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