Research on the Construction of an Intelligent Integration System of Curriculum Ideological and Political Education Based on Biomedical Knowledge Graph

教育数字化转型已成为不可逆转的趋势。知识图谱作为人工智能的基础性技术架构，能够有效连接，将资源数字化，可为课程思政的协同育人提供创新性解决方案。为提高数字时代生物医学基础课程思政教育效果，本文以知识图谱为基础构思生物医学课程思政的改革路径，分析课程思政的内涵，包括生物医学的思政教学特征属性、思政维度模型、思政价值塑造的内容及方式。以思政融入知识图谱为切入点，探讨基于知识图谱的生物医学课程思政改革思路，旨在通过本文为其他高校同类课程思政改革提供参考。The digital transformation of education has become an irreversible trend. As a fundamental AI-driven technological framework, knowledge graphs effectively interconnect and digitize educational resources, offering an innovative solution for collaborative ideological and political education (referred to as “curriculum ideology and politics”). To enhance the effectiveness of ideological education in foundational biomedical courses in the digital era, this paper proposes a reform approach based on knowledge graphs, analyzing the essence of curriculum ideology and politics, the distinctive pedagogical attributes of biomedical education, a multi-dimensional ideological education model, and the methods for shaping values. By integrating ideological elements into knowledge graphs, this study explores a reform strategy for ideological education in biomedical courses, aiming to provide a reference for similar curriculum reforms in higher education institutions.