Empirical Research of Evaluating Training Base Teaching for Higher Vocation Education

Zhaohui Zheng1, Xuehui Pei2, Mingfu Liao3

1Academic Affairs Office of Jiangxi Vocational and Technical College of Information

2E-commerce & Management Department of Jiangxi Vocational and Technical College of Information

3Foreign language college of Jiangxi agriculture university Nanchang, China

Abstract: Training base teaching evaluation of higher vocation education is one of the difficult and hot research fields in higher education management. Using BP neural network algorithm, a new clustering segmentation algorithm is presented. Firstly, According to the characteristics of training base teaching evaluation of higher vocation, a new evaluation indicator system is constructed from the perspectives of training preparation, specific training, training administration, training effects; Second, the paper improves the original BP algorithm through adjusting the value of momentum factor, taking dynamic strategy of momentum factor and adaptive change of algorithm step to speed up the calculation; Finally, the empirical results shows that improved model has high evaluation accuracy when used to evaluate training base teaching of higher vocation education and can improve process stability and speed greatly.

Keywords: Higher vocation education; Training base teaching evaluation; BP neural network algorithm; Evaluation indicator system