四川轻化工大学学报(社会科学版)

人工智能赋能高校思想政治教育创新发展，既是数智时代思想政治教育改革的题中之义，又是思想政治教育精准化、数智化发展的内在要求。数智化背景下高校思想政治教育在理论层面正经历范式重构与价值革新，其内在逻辑体现为四个维度转向：（1）教育决策从经验判断转向实证分析，构建基于动态监测的客观化评估体系；（2）资源供给从专属封闭转向协同共建，形成多主体参与的开放共享机制；（3）教育主体从工具依赖转向角色重构，实现教师核心职能向价值引领的深度聚焦；（4）培养模式从标准统一转向精准识别，建立差异化育人路径的理论框架。当前，思想政治教育的数字化转型面临着教育主体多维需求转型、育人实践底层逻辑重构、教育工作者数智能力薄弱、工具理性与价值理性冲突加剧等重大挑战。高校思想政治教育创新，需构建人机协同育人体系，应对教育主体角色转型需求；打造精准化育人模式，适应数字原住民代际认知差异；实施数智能力提升计划，补足教育工作者技术短板；建立技术伦理治理框架，平衡工具理性与价值理性冲突。

Empowering the innovative development of ideological and political education in higher education institutions through artificial intelligence is both an inherent requirement of reforming ideological and political education in the digital era and an intrinsic demand for its precision and digital transformation. Against the backdrop of digitalization, ideological and political education in higher education exhibits paradigm shifts and value innovations at the theoretical level, which is manifested through four dimensions of transformation: 1) Education decision-making shifts from empirical judgment to empirical analysis, constructing an objective evaluation system based on dynamic monitoring; 2) resource provision shifts from exclusive closure to collaborative co-construction, forming open-sharing mechanisms involving multiple stakeholders; 3) educational actors transition from tool dependency to role reconstruction, enabling educators to deeply focus their core functions on value guidance; and 4) cultivation models evolving from standardized uniformity to precise identification, establishing theoretical frameworks for differentiated educational pathways. Currently, the digital transformation of ideological and political education faces significant challenges, including multidimensional shifts in stakeholder demands, the need to reconstruct the foundational logic of educational practices, the weak digital and intelligent capabilities of educators, and intensified conflicts between instrumental rationality and value rationality. Innovation in higher education ideological and political education requires: constructing a human-machine collaborative education system to address evolving stakeholder roles; developing precision education models to accommodate generational cognitive differences among digital natives; implementing digital literacy enhancement programs to bridge educators' technological gaps; and establishing a technology ethics governance framework to reconcile conflicts between instrumental and value rationality.