基于人工神经网络的大学生思政教育评价方法

Evaluation Method of College Students’ Ideological and Political Education Based on Artificial Neural Network

为提高对思政教育评价结果的准确性,提出基于人工神经网络的大学生思政教育评价方法。构建包含教学准备、教学方式、教学手段、教学环境、教学工具以及教学反馈的评价指标体系,并利用人工神经网络计算指标参数,构建对应的激活函数,根据响应输出值调整隐含层和输出层之间的连接权值,从而实现大学生思政教育评价。测试结果表明,设计方法在以标准分数值为基础的测试中误差可稳定在1人以内。

In order to improve the accuracy of the evaluation results of Civic Education, an evaluation method of Civic Education for college students based on artificial neural network is proposed. The evaluation index system containing teaching preparation,teaching methods, teaching means, teaching environment, teaching tools and teaching feedback is constructed, and the artificial neural network is used to calculate the index parameters, construct the corresponding activation function, and adjust the connection weights between the implicit layer and the output layer according to the response output value, so as to realize the evaluation of the Civic Education of college students. The test results show that the design method can stabilize the error within 1 person in the test based on the standard score value.