Constructing ideological and political education knowledge graph for Chinese college students based on multi-source data

The growth of Artificial Intelligence technology has led to great changes in education. However, the large number of ideological and political education materials, along with complex learning resources, often cause poor learning efficiency and less student involvement. In this study, we introduced the knowledge graph technology to improve the organization and presentation of educational materials, solving the issues of repetition and lack of easy access to ideological and political knowledge. We combined data from university courses and online learning platforms to help knowledge extraction and graph fusion. The knowledge graph provides new insights and helpful ways for improving ideological and political education and supporting the growth of related fields in higher education in China.