With the rapid development of the Internet, the network has become an important part of the study, work, and life of all teachers and students in colleges and universities. It also brings great challenges to the traditional way of ideological and political education in colleges and universities. Colleges and universities have launched various beneficial attempts in the ideological and political education into the network. In this context, in order to improve the evaluation accuracy of ideological and political classroom teaching quality in colleges and universities, this paper puts forward an evaluation method of ideological and political classroom teaching quality in colleges and universities based on DA-CNN. On the basis of constructing the evaluation index system of ideological and political classroom teaching quality in colleges and universities by analytic hierarchy process, the scores of 25 evaluation indexes affecting the ideological and political teaching quality in colleges and universities are taken as the input of DA-CNN, and the comprehensive score of ideological and political teaching quality in colleges and universities is taken as the output of DA-CNN. At the same time, an innovative ideological and political education management system based on convolutional neural network is designed and developed, and the functional modules and database of the system are planned.

中文翻译：

---

DA-CNN-驱动的创新思想政治教育管理系统

随着互联网的飞速发展，网络已成为广大高校师生学习、工作、生活的重要组成部分。这也给传统的高校思想政治教育方式带来了巨大挑战。高校在网络化思想政治教育方面开展了各种有益的尝试。在此背景下，为提高高校思政课堂教学质量评价的准确性，本文提出了一种基于DA-CNN的高校思政课堂教学质量评价方法。在运用层次分析法构建高校思想政治课堂教学质量评价指标体系的基础上，将影响高校思想政治教学质量的25个评价指标的得分作为DA- CNN，以高校思想政治教学质量综合得分作为DA-CNN的输出。同时，设计开发了一种基于卷积神经网络的创新思想政治教育管理系统，并规划了系统的功能模块和数据库。以影响高校思想政治教学质量的25个评价指标的得分作为DA-CNN的输入，以高校思想政治教学质量综合得分作为DA-CNN的输出. 同时，设计开发了一种基于卷积神经网络的创新思想政治教育管理系统，并规划了系统的功能模块和数据库。以影响高校思想政治教学质量的25个评价指标的得分作为DA-CNN的输入，以高校思想政治教学质量综合得分作为DA-CNN的输出. 同时，设计开发了一种基于卷积神经网络的创新思想政治教育管理系统，并规划了系统的功能模块和数据库。