Proceedings of the International Conference on Education Innovation and Social Science (ICEISS 2017)

Research on the Competency Model Construction of the College Counselor with Excellent Performance

Authors
Guang Li
Corresponding Author
Guang Li
Available Online November 2017.
DOI
10.2991/iceiss-17.2017.54How to use a DOI?
Keywords
College counselor; Excellent performance competency model; HRM; Structural equation modeling
Abstract

It is an important demand of the ideological and political education in colleges to strengthen the development of college counselor's professional ability and cultivate excellent counselor cadre team. Through using questionnaire, interview, content analysis, factor analysis and structural equation modeling, it is proved that the construction and verification of the competency model of the college counselor is of the second-order four-factors first-order eight-factors construct and is of good fitting degree.

Copyright
© 2017, 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 International Conference on Education Innovation and Social Science (ICEISS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2017
ISBN
10.2991/iceiss-17.2017.54
ISSN
2352-5398
DOI
10.2991/iceiss-17.2017.54How to use a DOI?
Copyright
© 2017, 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  - Guang Li
PY  - 2017/11
DA  - 2017/11
TI  - Research on the Competency Model Construction of the College Counselor with Excellent Performance
BT  - Proceedings of the International Conference on Education Innovation and Social Science (ICEISS 2017)
PB  - Atlantis Press
SP  - 222
EP  - 228
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-17.2017.54
DO  - 10.2991/iceiss-17.2017.54
ID  - Li2017/11
ER  -