An intelligent and precise analysis and guidance system and method for ideological and political education of college students

Abstract

The present invention relates to the technical field of educational informatization, and particularly relates to a precise analysis and guidance system and method for ideological and political education of college students. The system comprises a data acquisition layer, a data fusion layer, an intelligent analysis layer, and an application service layer connected in sequence. The system acquires full-dimensional data covering student family background, growth experience, on-campus teaching, student activities, and daily life. After cleaning, standardization, and knowledge graph construction, a student holographic profile is formed. Algorithms such as causal inference, graph neural networks, and long short-term memory networks are adopted to extract multi-dimensional ideological and political features, thereby realizing dynamic assessment, risk warning, and trend prediction of students’ ideological states. Finally, personalized ideological guidance schemes and visualized decision support are generated. The present invention can significantly improve the scientificity, timeliness, and precision of ideological and political work in colleges and universities.

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