Research on Teacher Evaluation System of Private Universities Based on Support Vector Machine

DOI

10.2991/icamcs-16.2016.168How to use a DOI?

Keywords

teacher evaluation, support vector machine, index of teacher evaluation, intelligent evaluation

Abstract

This study applies the support vector machine theory to the private university teacher evaluation system. According to the theory of educational evaluation, combined with the current evaluation indexes of teachers in private universities, this study makes a scientific and reasonable setting for the evaluation indexes of private universities. Based on the principle of support vector machine (SVM), the sample data is divided into two parts, by training the sample data in the evaluation system, the training model is obtained, and the prediction data are evaluated and analyzed with the training model. Through the experiment and trial operation, it is indicated that the evaluation method based on the support vector machine can make the evaluation more accurate and reasonable, and it can reduce some errors that caused by human factors in the process of evaluation.

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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TY  - CONF
AU  - Bo Yang
AU  - Li-na Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Research on Teacher Evaluation System of Private Universities Based on Support Vector Machine
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 825
EP  - 828
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.168
DO  - 10.2991/icamcs-16.2016.168
ID  - Yang2016/06
ER  -