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

Modeling Research on Job Burnout Measurement and Attribution of College English Teachers

Authors
Rouhua Wang
Corresponding Author
Rouhua Wang
Available Online 14 February 2020.
DOI
10.2991/assehr.k.191217.154How to use a DOI?
Keywords
job burnout, college English teachers, measurement and attribution
Abstract

This article introduces the origin and research methods, research plans, technical routes, and research results of the modeling research on the measurement and attribution of college English teachers’ job burnout. It also discusses the expected social benefits of the modeling research on college English teachers’ job burnout measurement and attribution. This article is the second in a series of research papers on the job burnout of college English teachers in Jilin Province.

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 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.191217.154How 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  - Rouhua Wang
PY  - 2020
DA  - 2020/02/14
TI  - Modeling Research on Job Burnout Measurement and Attribution of College English Teachers
BT  - Proceedings of the 6th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2019)
PB  - Atlantis Press
SP  - 389
EP  - 393
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.191217.154
DO  - 10.2991/assehr.k.191217.154
ID  - Wang2020
ER  -