In the evolution of the digital era, the ideological trends among college students exhibit characteristics of diversification, fragmentation, and dynamism. Traditional educational management models struggle to achieve precise control and effective intervention. Big data technology, leveraging its advantages in massive data collection, accurate analysis and mining, and real-time dynamic supervision, offers a novel approach for the precise identification of students’ ideological dynamics and targeted educational intervention. This paper integrates the application features of big data technology, interprets its core value in leading the educational management of students’ ideology, constructs a precise identification system of “data collection—analysis and mining—early warning response”, explores targeted educational management intervention approaches, and proposes safeguard measures from three dimensions—technology, systems, and talent, to enhance the effectiveness of ideological education and management for college students in the new era, thereby supporting their comprehensive development.