Application of Data Mining Technology in the Teaching Quality Monitoring of Ideological and Political Courses in Colleges
Year: 2024
Type: conference-paper
Abstract: Through the application of data mining technology, this paper realizes the effective monitoring and analysis of the teaching quality of ideological and political courses in colleges and universities. Experimental results show that cluster analysis and association rules can identify the key relationship between learning behavior and the teaching quality of ideological and political courses, and the classification prediction model can help education managers identify students who may have problems in advance. Future research can further integrate more dimensions of data and use technologies such as deep learning to improve the accuracy of analysis. This research will contribute to the intelligent development of ideological and political teaching quality monitoring in colleges and universities, and expand the application field of data mining technology.
Authors: Guoliang Chen, Ying Jiang
Institution: PLA Army Service Academy
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4409965489