人工智能时代辅导员新生思想引领的实践困境与应对路径

Practical Dilemmas and Countermeasure Paths of Counselors’ Ideological Guidance for College Freshmen in the Artificial Intelligence Era

摘要: 人工智能技术深度融入高校育人场域，为新时代思想政治教育创新发展提供重要技术支撑。00后新生作为数字原住民，学习生活与认知方式深受智能环境影响，传统思想引领模式已难以契合青年学生的成长特征与现实需求。本研究选取广西机电职业技术学院2025级新生与全校专职辅导员为研究样本，依托问卷与访谈实证调研，结合新生媒介素养与辅导员数字能力的分析对比，挖掘智能化思想政治教育实践的深层制约因素。辅导员作为立德树人与新生价值引领的核心力量，在运用人工智能开展思政工作时面临多重现实困境：新生易受碎片化网络信息干扰，价值认知存在偏移；辅导员队伍数字素养不均衡，智能育人理念相对滞后；思政内容与智能传播场景适配度不足，AIGC赋能内容生产过程中存在素材失真、价值导向失范等隐患；校内智能育人协同机制、配套考核制度仍有待完善。本文结合高校思政工作实际，从教育的客体、主体、内容、运行机制四个维度梳理现存困境，针对性提出强化新生媒介素养培育、搭建辅导员数字能力培训体系、构建标准化AIGC思政内容生成与全流程审核实施方案、完善智能育人制度保障等应对路径，系统建构分层式人机协同智慧思政育人理论模型，明晰四层架构与人机权责边界，旨在推动人工智能与新生思想引领工作深度融合，构建人机协同的智慧思政育人模式，切实提升高校新生思想政治教育实效。

Abstract: The in-depth integration of artificial intelligence technology into university education fields provides crucial technical support for the innovative development of ideological and political education in the new era. As digital natives, post-2000 college freshmen are profoundly influenced by intelligent environments in their study, daily lives and cognitive patterns, and the traditional ideological guidance model can hardly match the growth characteristics and practical demands of young students. This study takes the 2025-grade freshmen and all full-time counselors from Guangxi Vocational and Technical College of Mechanical and Electrical Engineering as research samples. On the basis of empirical investigations including questionnaires and in-depth interviews, it explores the deep restrictive factors in the practice of intelligent ideological and political education through analyzing freshmen’s media literacy and comparing counselors’ digital capabilities. As the core practitioners of fostering virtue through education and value guidance for freshmen, university counselors face various practical dilemmas when applying artificial intelligence to ideological and political work. Freshmen are vulnerable to fragmented online information, which leads to deviations in their value cognition; the counselor team presents uneven digital literacy and relatively backward intelligent education concepts; ideological and political content fails to adapt to intelligent communication scenarios, and AIGC-enabled content production is plagued by hidden risks such as distorted materials and misplaced value orientation; the campus collaborative mechanism and supporting assessment system for intelligent education still need to be improved. Combined with the practical conditions of university ideological and political work, this paper sorts out existing dilemmas from four dimensions: educational object, educational subject, educational content and operational mechanism. Targeted countermeasures are proposed, including strengthening the cultivation of freshmen’s media literacy, establishing a training system to improve counselors’ digital capabilities, formulating standardized schemes for AIGC ideological and political content generation and whole-process review, and perfecting institutional guarantees for intelligent education. This study constructs a hierarchical theoretical model of human-machine collaborative smart ideological and political education and clarifies its four-tier framework as well as the boundaries of rights and responsibilities between humans and machines. It intends to promote the in-depth integration of artificial intelligence and ideological guidance for freshmen, establish a human-machine collaborative smart education mode, and effectively improve the practical effectiveness of ideological and political education for college freshmen.