School of Marxism, Southeast University, Nanjing 211189, Jiangsu, China.
J Environ Public Health. 2022 Jul 15;2022:2556976. doi: 10.1155/2022/2556976. eCollection 2022.
In order to better deal with the challenges brought by the changes of the external environment to the ideological and political work of college students and better solve the problems of dogma, lack of operability, and inability to adapt to the changes of the new situation and environment, this topic proposes a student management information system based on the artificial neural network. This method strengthens the construction of the student management system, deeply interprets the connotation and practical needs of ideological and political work in colleges and universities in the new environment under the background of the "Internet+" era, and is committed to further optimizing the strategy of student ideological and political work on the basis of following the principles of innovation, human nature, openness, and ecology of ideological and political work. The results show that the construction of a more scientific student teaching management information system can provide intelligent and digital technical support for the improvement of ideological and political work efficiency and teaching quality and promote the innovative development of ideological and political work in colleges and universities. Therefore, the ideological and political work in colleges and universities should gradually overcome preaching, build new methods to measure students' achievements and ideological and political arms, actively occupy the dominant power of Internet discourse, and avoid the negative impact of the network by spreading positive energy.
为了更好地应对外部环境变化给大学生思想政治工作带来的挑战，更好地解决教条主义、可操作性差、不能适应新形势新环境变化的问题，本课题提出了一种基于人工神经网络的学生管理信息系统。该方法加强了学生管理系统的建设，深入阐释了“互联网+”背景下高校思想政治工作在新环境下的内涵和实践需求，致力于在遵循思想政治工作创新、人性化、开放性、生态性原则的基础上，进一步优化学生思想政治工作策略。研究结果表明，构建更加科学的学生教学管理信息系统，可以为提高思想政治工作效率和教学质量提供智能和数字化技术支持，促进高校思想政治工作的创新发展。因此，高校思想政治工作应逐步克服说教，构建新的学生成绩和思想政治考核方法，积极占领互联网话语主导权，传播正能量，避免网络的负面影响。
