Volume 3,Issue 9
Research on the Paths of Network Ideological and Political Education for College Students from the Perspective of Algorithmic Recommendation
With digital technology deeply embedded in information dissemination, algorithmic recommendation has emerged as a key factor shaping college students’ cognitive frameworks and value development. Building on the current integration of algorithmic recommendation technology with network ideological and political education for students, this paper systematically examines the shortcomings in content adaptation and contextual penetration within existing network ideological and political education, as well as the technical constraints, ethical challenges, and governance deficiencies in algorithmic implementation. The study proposes a systematic threefold path of “Value Guidance–Algorithm Optimization–Institutional Improvement” by upholding the fundamental orientation of ideological and political education, refining algorithm design to break information cocoons, and enhancing collaborative governance and ethical standards. It seeks to advance the deep integration of algorithmic and educational logic, offering a theoretical reference for achieving “Precision Ideological and Political Education” and “Intelligent Education”.
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