Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)

Research on Application of Grey Relevance Theory in teaching evaluation

Authors
Hongfu Ai, He Pan
Corresponding Author
Hongfu Ai
Available Online April 2016.
DOI
10.2991/icemct-16.2016.10How to use a DOI?
Keywords
Grey system; Grey correlation; Teaching evaluation
Abstract

The purpose of teaching evaluation is to improve the quality of teaching. The evaluation method of teaching is numerous, and has achieved good results. Due to the particularity of the curriculum, the teaching evaluation of different courses should be different. In this paper, the evaluation model is established based on grey correlation theory, and the course of SPSS statistical analysis is evaluated, and the evaluation index and model are established. According to the experimental results, the course's setting, teaching process and evaluation model were analyzed.

Copyright
© 2016, 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 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2016
ISBN
10.2991/icemct-16.2016.10
ISSN
2352-5398
DOI
10.2991/icemct-16.2016.10How to use a DOI?
Copyright
© 2016, 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  - Hongfu Ai
AU  - He Pan
PY  - 2016/04
DA  - 2016/04
TI  - Research on Application of Grey Relevance Theory in teaching evaluation
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 43
EP  - 46
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.10
DO  - 10.2991/icemct-16.2016.10
ID  - Ai2016/04
ER  -