Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)

Analysis of Information Ability Factors of Young Civilian Faculty in Military Schools in the Age of Big Data

Authors
Kang Yi, Yuting Zhao, Qiang Wei, Na Zhang
Corresponding Author
Kang Yi
Available Online 14 February 2020.
DOI
10.2991/assehr.k.191217.112How to use a DOI?
Keywords
information ability, big data, young civilian faculty in military schools, factor analysis
Abstract

This paper studies the information ability of young civilian faculty members in military schools in the era of big data, and puts forward 26 information capabilities that should be possessed. The factor analysis is carried out by SPSS software, and five common factors and their weights are obtained. The basis for the design and evaluation of the faculty information capacity scale is provided.

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/).

Download article (PDF)

Volume Title
Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
14 February 2020
ISBN
978-94-6252-867-3
ISSN
2352-5398
DOI
10.2991/assehr.k.191217.112How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Kang Yi
AU  - Yuting Zhao
AU  - Qiang Wei
AU  - Na Zhang
PY  - 2020
DA  - 2020/02/14
TI  - Analysis of Information Ability Factors of Young Civilian Faculty in Military Schools in the Age of Big Data
BT  - Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)
PB  - Atlantis Press
SP  - 214
EP  - 218
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.191217.112
DO  - 10.2991/assehr.k.191217.112
ID  - Yi2020
ER  -