Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

Research on Action-Oriented Teaching in Non-Commissioned Officer Education

Authors
Ye Sun
Corresponding Author
Ye Sun
Available Online 2 November 2020.
DOI
10.2991/assehr.k.201030.025How to use a DOI?
Keywords
action-oriented teaching, action learning, implementation process
Abstract

Combining with the characteristics of the incumbent education curriculum and students, it’s analyzed the necessity of adopting action-oriented teaching in non-commissioned officer education in this paper. To further deepen the application of action teaching concepts in teaching, this paper created conditions from four aspects: building an integrated teaching place, expanding training bases, improving the ability training system of teachers, and enriching online teaching resources. Finally, taking action learning as an example to introduce the implementation model and implementation process of action learning, it provides references for further innovation of teaching methods centered on action-oriented teaching concepts.

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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Volume Title
Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
10.2991/assehr.k.201030.025How 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  - Ye Sun
PY  - 2020
DA  - 2020/11/02
TI  - Research on Action-Oriented Teaching in Non-Commissioned Officer Education
BT  - Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 115
EP  - 119
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.025
DO  - 10.2991/assehr.k.201030.025
ID  - Sun2020
ER  -