| Peer-Reviewed

Design of Popular Science Knowledge Sharing Platform Based on Distance Learning

Received: 27 October 2022     Accepted: 2 December 2022     Published: 8 December 2022
Views:       Downloads:
Abstract

Traditional popular science knowledge sharing platform, because the data update in the sharing platform is not timely, there are malicious advertisements in the platform, and the number of users in the sharing platform is limited. Once the number of users is higher than the set value of the platform, the situation of being stuck and unable to get into the platform will occur, which fails to meet people's expectations for distance learning. Therefore, in order to facilitate more learners to carry out distance learning on the Internet platform, learners will not be restricted by age, identity and region through distance learning, and further explore its daily work flow by designing the structure of scientific knowledge sharing platform for distance learning. This paper divides the popular science knowledge sharing platform based on distance learning into two aspects: platform structure and platform workflow. The structure design of knowledge sharing platform includes resource library module, resource operation service module, external connection and output of data resources. Finally, in order to maintain the operation of the popular science knowledge sharing platform based on distance learning, each module has its own unique functions. This paper designs a simple and efficient distance learning scientific knowledge sharing platform with process task management as the core, process instance management, process privacy management, process responsibility management and other functions.

Published in Social Sciences (Volume 11, Issue 6)
DOI 10.11648/j.ss.20221106.15
Page(s) 381-386
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Distance Learning, Internet, Resource Data, Knowledge Sharing Platform, Workflow Management

References
[1] Zhou Rongting, Gu Fei. Design and Application of Science Education Material Platform Based on Digital Interactive Service Model [J]. Science Popularization Research, 2018, 13 (2): 19-26, 75.
[2] Jiang Kuanshu, Yu Hong, Wang Yanli, et al. Design and implementation of early warning information platform for fruit tree diseases and insect pests based on network technology [J]. Journal of Nanjing Agricultural University, 2019, 42 (3): 184-193.
[3] Svensson G. New aspects of research into service encounters and service quality [J]. International Journal of Service Industry Management, 2006 (3): 245-257.
[4] Zhang X, Li Y, Liu J, et al. Effects of interaction design in digital libraries on user interactions [J]. Journal of Documentation, 2008 (3): 438-463.
[5] Luo Song, Zhou Ying. Research on the Theory and Method of Science History Education Activity Design Based on Exhibits of Science and Technology Museum--Taking Electromagnetism as an Example [J]. Popular Science Research, 2018, 13 (6): 33-40+111- 112.
[6] Sun Yusheng, Li Yaqi, Zhu Jinhong. Research progress of information recommendation based on big data in China: architecture system [J]. Computer and digital engineering, 2020, 48 (12): 2806-2814.
[7] Pang N. Study on digital library and user interaction platform [C]//Information Computing and Applications. Communications in Computer and Information Science. Berlin: Springer-verlag, 2012: 158-163.
[8] Liu Jian, Wang Xiaofei. Research on Knowledge Service Model of Smart Library Based on Knowledge Ecosystem [J]. Information Science, 2021, 39 (09): 18-24. DOI: 10.13833/j.issn.1007-7634.2029.003.
[9] Hopkins M E, Summersables J E, Clifton S C, et al. Websitecreation and resource management: developing collaborative strategies for asynchronous interaction with library users [J]. Health Information & Libraries Journal, 2011 (2): 130-136.
[10] Zhou Jin, An Tao, Han Xuejing. Design of venue learning activities based on activity theory [J]. Popular Science Research, 2019, 14 (1): 32-39+109.
[11] Liu Wei, Shi Jianheng. Research on Browser Security Technology System in Big Data Era [J]. Cyberspace Security, 2022, 13 (03): 40-49.
[12] Zhou Yinyan, Zhang Yanxiang. Research on the design of popular science information graphics [J]. Popular Science Research, 2019, 14 (3): 5-11, 57.
[13] Chen Kaiquan, Gao Lei, Meng Xianghong. Online learning path mining in blended teaching in colleges and universities and its enlightenment to teaching reform-Taking the course of Biochemistry in a university as an example [J]. Exploration of Higher Education, 2020 (05): 5-13.
[14] Bilal D, Bachir I. Children’s interaction with cross--cultural and multilingual digital libraries: I. understanding interface design representations [J]. Information Processing & Management, 2007 (1): 47-64.
[15] Lai Along. 'Online Classroom' course resource sharing platform construction and application research [C]//.South China Education Informatization Research Experience Exchange Conference 2021 paper compilation (10). [Publisher unknown], 2021: 102-104. DOI: 10.26914/c.cnkihy.2021.012435.
Cite This Article
  • APA Style

    Wang Peng, Sheng Jing, Chen Guosheng, Jiang Gending, Wang Hui. (2022). Design of Popular Science Knowledge Sharing Platform Based on Distance Learning. Social Sciences, 11(6), 381-386. https://doi.org/10.11648/j.ss.20221106.15

    Copy | Download

    ACS Style

    Wang Peng; Sheng Jing; Chen Guosheng; Jiang Gending; Wang Hui. Design of Popular Science Knowledge Sharing Platform Based on Distance Learning. Soc. Sci. 2022, 11(6), 381-386. doi: 10.11648/j.ss.20221106.15

    Copy | Download

    AMA Style

    Wang Peng, Sheng Jing, Chen Guosheng, Jiang Gending, Wang Hui. Design of Popular Science Knowledge Sharing Platform Based on Distance Learning. Soc Sci. 2022;11(6):381-386. doi: 10.11648/j.ss.20221106.15

    Copy | Download

  • @article{10.11648/j.ss.20221106.15,
      author = {Wang Peng and Sheng Jing and Chen Guosheng and Jiang Gending and Wang Hui},
      title = {Design of Popular Science Knowledge Sharing Platform Based on Distance Learning},
      journal = {Social Sciences},
      volume = {11},
      number = {6},
      pages = {381-386},
      doi = {10.11648/j.ss.20221106.15},
      url = {https://doi.org/10.11648/j.ss.20221106.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.20221106.15},
      abstract = {Traditional popular science knowledge sharing platform, because the data update in the sharing platform is not timely, there are malicious advertisements in the platform, and the number of users in the sharing platform is limited. Once the number of users is higher than the set value of the platform, the situation of being stuck and unable to get into the platform will occur, which fails to meet people's expectations for distance learning. Therefore, in order to facilitate more learners to carry out distance learning on the Internet platform, learners will not be restricted by age, identity and region through distance learning, and further explore its daily work flow by designing the structure of scientific knowledge sharing platform for distance learning. This paper divides the popular science knowledge sharing platform based on distance learning into two aspects: platform structure and platform workflow. The structure design of knowledge sharing platform includes resource library module, resource operation service module, external connection and output of data resources. Finally, in order to maintain the operation of the popular science knowledge sharing platform based on distance learning, each module has its own unique functions. This paper designs a simple and efficient distance learning scientific knowledge sharing platform with process task management as the core, process instance management, process privacy management, process responsibility management and other functions.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Design of Popular Science Knowledge Sharing Platform Based on Distance Learning
    AU  - Wang Peng
    AU  - Sheng Jing
    AU  - Chen Guosheng
    AU  - Jiang Gending
    AU  - Wang Hui
    Y1  - 2022/12/08
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ss.20221106.15
    DO  - 10.11648/j.ss.20221106.15
    T2  - Social Sciences
    JF  - Social Sciences
    JO  - Social Sciences
    SP  - 381
    EP  - 386
    PB  - Science Publishing Group
    SN  - 2326-988X
    UR  - https://doi.org/10.11648/j.ss.20221106.15
    AB  - Traditional popular science knowledge sharing platform, because the data update in the sharing platform is not timely, there are malicious advertisements in the platform, and the number of users in the sharing platform is limited. Once the number of users is higher than the set value of the platform, the situation of being stuck and unable to get into the platform will occur, which fails to meet people's expectations for distance learning. Therefore, in order to facilitate more learners to carry out distance learning on the Internet platform, learners will not be restricted by age, identity and region through distance learning, and further explore its daily work flow by designing the structure of scientific knowledge sharing platform for distance learning. This paper divides the popular science knowledge sharing platform based on distance learning into two aspects: platform structure and platform workflow. The structure design of knowledge sharing platform includes resource library module, resource operation service module, external connection and output of data resources. Finally, in order to maintain the operation of the popular science knowledge sharing platform based on distance learning, each module has its own unique functions. This paper designs a simple and efficient distance learning scientific knowledge sharing platform with process task management as the core, process instance management, process privacy management, process responsibility management and other functions.
    VL  - 11
    IS  - 6
    ER  - 

    Copy | Download

Author Information
  • School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China

  • School of Computer and Information Engineering, Yongzhou Vocational and Technical College, Yongzhou, China

  • School of Business, Hunan Institute of Technology, Hengyang, China

  • School of Economics and Management, Hunan Institute of Communications Engineering, Hengyang, China

  • School of Electrical and Information Engineering, Hunan University of Communications Engineering, Hengyang, China

  • Sections