Research on Vocational College Course Evaluation Based on Data Mining

DOI

10.2991/isss-18.2018.12How to use a DOI?

Keywords

Course Management, vocational college course evaluation, BP neural network, Levenberg-Marqardt optimization algorithm.

Abstract

Implementing course evaluation is an effective way to enhance vocational college course management level, and how to evaluate vocational college course is one of the difficulties and hot research fields for the researchers related. The paper takes science and engineering major course for example and presents a new model for evaluating vocational college course evaluation based on data mining technology. First an evaluation indicator system of vocational college course evaluation with three grades is designed; Second, aiming at the shortages of the existing BP neural network algorithm of data-mining for evaluating vocational college course performance, Levenberg-Marqardt optimization algorithm is used to correct BP neural network to speed up the convergence and simplify the structure and to improve evaluating accuracy of the original BP model. Finally the model is realized with the data from three vocational colleges and the realization of the experimental results show that the model can improve algorithm efficiency and evaluation accuracy and can be used for vocational college course evaluation practically.

Copyright

© 2018, 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  - Hui Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Research on Vocational College Course Evaluation Based on Data Mining
BT  - Proceedings of the 4th International Symposium on Social Science (ISSS 2018)
PB  - Atlantis Press
SP  - 60
EP  - 64
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-18.2018.12
DO  - 10.2991/isss-18.2018.12
ID  - Zhang2018/05
ER  -