Research on the Precision Model of Ideological and Political Education under the Background of Big Data

Abstract

With the rapid development of information technology, big data has become a core driving force for transformation across various industries, and education is particularly prominent. In ideological and political education, traditional models can no longer meet the increasingly diversified educational needs. Especially with the promotion of informatization, personalization, and precision education, utilizing big data technology to improve the relevance and effectiveness of ideological and political education has become an urgent issue. This paper analyzes the transformation needs of ideological and political education in the context of big data, proposes a framework for constructing a precision model of ideological and political education driven by big data, and explores its application in areas such as monitoring student ideological trends, customizing educational content, and feedback assessment. The research indicates that big data technology can effectively enhance the personalization, effectiveness, and interactivity of ideological and political education, drive innovation in teaching methods, and improve educational quality and outcomes. Finally, the paper looks ahead to the continuous development of the precision model of ideological and political education and suggests that the deep application of big data will promote more precise, efficient, and personalized service for students in ideological and political education.