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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Remote Tutoring System of Ideological and Political Course Based on Mobile Client

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_26,
        author={Xiaopan Chen and Jianjun Tang},
        title={Remote Tutoring System of Ideological and Political Course Based on Mobile Client},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Mobile client College education Ideological and political course Remote tutoring Teaching system System design},
        doi={10.1007/978-3-031-28787-9_26}
    }
    
  • Xiaopan Chen
    Jianjun Tang
    Year: 2023
    Remote Tutoring System of Ideological and Political Course Based on Mobile Client
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_26
Xiaopan Chen1,*, Jianjun Tang1
  • 1: Jiangxi University of Software Professional Technology
*Contact email: chenxiaopan0154@163.com

Abstract

Long-distance tutoring system can not quickly from the massive learning resources in search of users interested in resources. Therefore, this paper puts forward the design of distance tutoring system based on mobile client. In the hardware part, the FPGA ARM framework is adopted, and the XGMII interface is connected with the harmonic sub-layer of the link layer to realize the continuous transmission of a large number of data streams.In the software part, the interactive structure of the system is designed to form a good docking and interactive relationship between online learning and after-class learning mode. Design module structure based on mobile client, to meet the needs of students’ online VOD courseware, curriculum information and teacher information. Based on the hybrid recommendation algorithm, the personalized course recommendation is carried out, and the courses are retrieved from the relevant course recommendation database and returned to users. System test results show that the system designed in this paper can reduce the maximum response time of user query and processing applications, so it is more practical.

Keywords
Mobile client College education Ideological and political course Remote tutoring Teaching system System design
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_26
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