Research on the Teaching Evaluation Model Based on BP Neural Network

DOI

10.2991/meita-15.2015.32How to use a DOI?

Keywords

Research on the Teaching Evaluation Model Based on BP Neural Network

Abstract

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.

Copyright

© 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/).

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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  -