数智赋能思政教育交叉协同育人资源体系研究

Research on the Digital Intelligence-Empowered Resource System for Interdisciplinary Collaborative Education in Ideological and Political Education

摘要: 思政教育与学科交叉协同育人是高校践行立德树人使命的重要举措。针对高校专业教育中思政资源分散、教学情境嵌入不足、学科关联不强以及评价反馈不连续等问题。本文面向高等教育教学改革需求，提出数智赋能思政教育与学科交叉协同育人的资源支撑体系，构建包括AI素养资源、思政价值资源、学科交叉案例资源、教学活动资源和过程评价资源在内的五类资源结构，并以知识图谱、语义标签、智能推荐、学习分析为技术支撑，分析其在教学场景中的应用路径。从而有助于推动思政教育由外在植入转向专业情境融入，促进学科交叉从概念倡导转向任务实践，可为不同层次人才培养提供可迁移、可扩展的育人支撑方案。

Abstract: The integration of ideological and political education with interdisciplinary collaborative education is an important approach for universities to fulfill the mission of fostering virtue through education. In response to problems such as fragmented ideological and political resources, insufficient contextual integration, weak disciplinary connections, and discontinuous evaluation feedback in professional education, this paper proposes a digital intelligence-empowered resource support system for ideological and political education and interdisciplinary collaborative education. The system consists of five types of resources: AI literacy resources, ideological and political value resources, interdisciplinary case resources, teaching activity resources, and process evaluation resources. Supported by knowledge graphs, semantic tagging, intelligent recommendation, and learning analytics, the paper explores its application paths in teaching scenarios. This system can promote the integration of ideological and political education into professional contexts, support interdisciplinary task-based practice, and provide a transferable and scalable solution for talent cultivation at different levels.