Research on Evaluation of Morality and Ability of Teachers in Universities Based on the Perspective of Data Mining

DOI

10.2991/icmess-17.2017.41How to use a DOI?

Keywords

Support Vector Machine (SVM); Morality of Teachers; Ability of teachers; Data Mining

Abstract

The evaluation of professional morality and ability of teachers is an important part of management in the colleges and universities. Focusing on the evaluation of teachers in Chinese universities, this paper designs an evaluation model, and constructs an evaluation metrics from the perspective of data mining. Furthermore, a new evaluation method for teachers based on Support Vector Machine (SVM) is proposed. The prediction levels of the morality and ability of teachers will be given by SVM. Finally, it gives the relative policies to promote the morality and ability of teachers. It will efficiently improve the quality of teaching and bring benefit to the teaching reform.

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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TY  - CONF
AU  - Li Tang
AU  - Caiyun Zhou
AU  - Li He
AU  - Shuhua Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Research on Evaluation of Morality and Ability of Teachers in Universities Based on the Perspective of Data Mining
BT  - Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 172
EP  - 175
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.41
DO  - 10.2991/icmess-17.2017.41
ID  - Tang2017/06
ER  -