Design of Popular Science Knowledge Sharing Platform Based on Distance Learning

Wang Peng; Sheng Jing; Chen Guosheng; Jiang Gending; Wang Hui

doi:doi:10.11648/j.ss.20221106.15

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Design of Popular Science Knowledge Sharing Platform Based on Distance Learning

Wang Peng, Sheng Jing, Chen Guosheng, Jiang Gending, Wang Hui

Published in Social Sciences (Volume 11, Issue 6)

Received: 27 October 2022 Accepted: 2 December 2022 Published: 8 December 2022

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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

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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

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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

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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

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@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}
}

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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  -

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Author Information

Wang Peng

School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China
Sheng Jing

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

School of Business, Hunan Institute of Technology, Hengyang, China
Jiang Gending

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

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

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Plain Text BibTeX RIS

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

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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

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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