Jiangxi University of Technology, Nanchang 330098, China.
Comput Intell Neurosci. 2022 Jul 18;2022:8336895. doi: 10.1155/2022/8336895. eCollection 2022.
At present, there are some problems in the research of curriculum ideological and political quality evaluation, such as insufficient theme attention, insufficient theoretical research, incomplete data collection, and so on. This study aims to use the BP neural network in the ideological and political quality evaluation system so that the system can more comprehensively and accurately reflect the actual situation of students and point out the direction for the development of students' ideological and political education. The construction of this system can provide a very considerable and accurate way for the quality evaluation of ideological and political education of college students and especially solves the problems of human subjective, factor errors, and the setting of evaluation index weights in the evaluation system.
目前，课程思想政治素质评价的研究存在一些问题，如主题关注度不够、理论研究不足、数据收集不完整等。本研究旨在将 BP 神经网络应用于思想政治素质评价体系中，使系统能够更全面、准确地反映学生的实际情况，为学生思想政治教育的发展指明方向。该系统的构建可以为大学生思想政治教育质量评价提供一种非常可观和准确的方法，特别是解决了评价体系中人为主观、因素误差和评价指标权重设置的问题。
