人工智能驱动高校精准思政的技术赋能与价值平衡

Artificial Intelligence-Driven Precision Ideological and Political Education in Universities: Technological Empowerment and Value Balance

摘要: 人工智能推动高校思政教育从经验驱动转向数据赋能的精准化。本文系统梳理相关研究，认为数据挖掘、内容定制、虚拟仿真与多维监测为精准识别、供给、营造场景与评估提供了技术支撑。但技术赋能存在双刃剑效应，数据异化消解教育根基，技术依赖弱化教育者主体地位，沉浸体验挤压现实认知与批判性思维。本文引入异化理论溯源“数据异化”，结合实践案例具象分析技术应用过程与风险，并辨析“价值引领”与“批判性思维培养”的张力及其辩证统一。破解困境的关键在于超越技术工具论，确立“育人为本、技术为用”理念，在工具理性与价值理性间寻求动态平衡，推动人工智能与高校精准思政从单向赋能走向深度融合。

Abstract: Artificial intelligence is driving ideological and political education in universities from an experience-driven model to a data-empowered precision paradigm. Based on a systematic review of relevant studies, this paper argues that data mining, content customization, virtual simulation, and multidimensional monitoring provide technical support for precise identification of educational objects, precise supply of educational content, precise construction of educational scenarios, and precise evaluation of educational effects. However, technological empowerment has a double-edged sword effect: data alienation may dissolve the foundation of ideological and political education, technological dependence may weaken educators’ subjectivity, and immersive experience may squeeze the space for realistic cognition and critical thinking. This paper introduces alienation theory to trace the origin of “data alienation”, combines practical cases to concretely analyze the process and risks of technology application, and examines the tension between “value guidance” and “critical thinking cultivation” as well as their dialectical unity. The key to overcoming this dilemma lies not in rejecting technology, but in transcending technological instrumentalism, establishing the concept of “education-oriented, technology-serving”, seeking a dynamic balance between instrumental rationality and value rationality, and promoting the deep integration of artificial intelligence and precision ideological and political education in universities from one-way empowerment to deep integration.