Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Research on the Professional Practice Evaluation Standard of the Computer Talents Training Mode

Authors
Henghua Shi, Xin Xu, Yanghong Liu, Jing Li
Corresponding Author
Henghua Shi
Available Online October 2017.
DOI
10.2991/meici-17.2017.9How to use a DOI?
Keywords
Professional Practice; Evaluation Standard; Computer Talents; Training Mode
Abstract

The training content of computer talents needs to change constantly with the continuous development of computer technology. Professional practice is a very important link point in the computer talents training. Combined with the training mode of "3+1" talents in present domestic colleges and universities, we propose the corresponding evaluation standard based on the evaluation index system of the professional practice for the three different directions such as employment, entrepreneurship and further education.

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 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
10.2991/meici-17.2017.9
ISSN
1951-6851
DOI
10.2991/meici-17.2017.9How 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  - Henghua Shi
AU  - Xin Xu
AU  - Yanghong Liu
AU  - Jing Li
PY  - 2017/10
DA  - 2017/10
TI  - Research on the Professional Practice Evaluation Standard of the Computer Talents Training Mode
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 38
EP  - 41
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.9
DO  - 10.2991/meici-17.2017.9
ID  - Shi2017/10
ER  -