Research On the Optimization of Ideological and Political Education in Universities Integrating Artificial Intelligence Technology Under the Guidance of Curriculum Ideological and Political Thinking

Abstract

Using the association rules among both data mining (DM) and Artificial Intelligence (AI) technology, this paper proposes concepts and techniques for enhancing the curriculum environment based on the modernization of the educational field curriculum scheme of Ideological and Political Education (IPE) classes in universities and colleges. The study analyze the inter-subjectivity concept to the model development from the conceptual level, the benchmark value of the whole setting, multidimensional spacetime, and the leading importance of the Internet governance idea to the reformation of IPE in the colleges and universities. The findings assess the issues with IPE transformation and development in colleges and universities and suggest solutions, as well as four mechanisms of "methodical design underlined in the overview, team-work cooperation of team development, augmentation of environmental development, and double endorsement of quality management”. The concept of developing a” three-stage full atmosphere" network IPE architecture for universities and colleges is presented as one of the remedies to enhance the efficiency of the IPE in universities. This idea is based on experience summary, theoretical analysis, and empirical study. The timeliness concerns of IPE transformation in universities and colleges are resolved by using in-depth comprehension and evaluation of the necessary knowledge of DM-AI, which is then used to apply the appropriate DM-AI methodologies. This allows the relevant administrators to quickly learn the crucial data in complicated problems and suggest solutions for subsequent decision-making.