Design of Networked Volleyball Distance Teaching System Based on Big Data Mining

DOI

10.2991/assehr.k.201202.131How to use a DOI?

Keywords

Big data mining, Network, Volleyball distance teaching, Local area network

Abstract

In order to improve the quality of networked volleyball remote teaching, a networked volleyball remote teaching system based on big data mining is designed. Complete the system hardware structure configuration, add and deploy databases and servers in the hardware configuration, and deploy a firewall in front of the volleyball remote teaching system server to enable the server to enter the user-accessible local area network; on the basis of hardware design, the networked volleyball The software structure of the distance teaching system is optimized, and big data mining technology is applied to volleyball distance teaching, as a bridge connecting distance teaching and distance teaching activities, thus forming a brand new volleyball distance teaching ecosystem. The simulation experiment results show that the teachers and students of the proposed system are highly satisfied, which improves the efficiency of networked volleyball distance teaching, and the teaching quality has been significantly improved in the actual application process.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pengfei Chu
AU  - Lun Li
AU  - Yuwei Guan
PY  - 2020
DA  - 2020/12/03
TI  - Design of Networked Volleyball Distance Teaching System Based on Big Data Mining
BT  - Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020)
PB  - Atlantis Press
SP  - 295
EP  - 304
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201202.131
DO  - 10.2991/assehr.k.201202.131
ID  - Chu2020
ER  -