Research on Evaluation of Morality and Ability of Teachers in Universities Based on the Perspective of Data Mining
Li Tang, Caiyun Zhou, Li He, Shuhua Zhang
Available Online June 2017.
- https://doi.org/10.2991/icmess-17.2017.41How to use a DOI?
- Support Vector Machine (SVM); Morality of Teachers; Ability of teachers; Data Mining
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/icmess-17.2017.41 ID - Tang2017/06 ER -