Research on the Teaching Evaluation Model Based on BP Neural Network
- 10.2991/meita-15.2015.32How to use a DOI?
- Research on the Teaching Evaluation Model Based on BP Neural Network
Education evaluation has become increasingly important along with the deepening educational reform. Only through evaluation will the teachers further enhance their teaching methods and teaching level. Considering the many factors influencing the teachers, it is difficult to simply adopt one model to evaluation. Therefore, this paper offers an establishment of the teaching evaluation model based on neural network to resolve the nonlinear mapping relationship between evaluation indexes and objectives. The living examples show that the neural network model could better wrestle with the issues unsolved by the traditional evaluation model, thus outshining the subjective resolution of evaluation index weight. 8 evaluation indexes without weight are adopted for the training and text of network. The results show that the 8-5-1 model could properly handle the teaching evaluation.
- © 2015, 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 - Xi Zhang AU - Xianggen Gan AU - Ren Wu PY - 2015/08 DA - 2015/08 TI - Research on the Teaching Evaluation Model Based on BP Neural Network BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 165 EP - 169 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.32 DO - 10.2991/meita-15.2015.32 ID - Zhang2015/08 ER -