基于RBF网络的高校教师评价模型

Evaluation Model of University Teachers Quality based on RNN

利用RBF网络,引用美国教师评价指标,从教师的责任心、知识结构、管理能力、质疑批判能力、科研能力和合作沟通能力六个方面,建立了新的教师评价体系,结果表明较好地反映了教师的实际能力。

Citing U. S. teacher evaluation, a new teacher evaluation system is established by RBF neural network （ RNN ） , from teachers＂ sense of responsibility, knowledge structure, management ability, critical ability, research ability and cooperative communication skills. The results show that better reflected actual ability of teachers.