Affiliations: [a]
Shijiazhuang Institute of Railway Technology, Hebei Shijiazhuang, China
| [b]
Hebei College of Industry and Technology, Hebei Shijiazhuang, China
Correspondence:
[*]
Corresponding author. Huang Xiaoyang, Shijiazhuang Institute of Railway Technology, Hebei Shijiazhuang, China. E-mail: [email protected].
Abstract: Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making.
Keywords: Data mining, artificial intelligence, effectiveness of educational reform, ideological and political education in universities
