数智赋能下大学化学实验课程思政建设的改革与实践

Reform and Practice of Curriculum-Based Ideological and Political Education in the General Chemistry Experiment Empowered by Digital Intelligence

摘要: 课程思政是践行立德树人根本任务课程育人的重要途径，但在实践课程中普遍存在案例生硬、专业契合度不足等问题，人工智能的发展为其课程思政建设提供了新的机遇。研究以大学化学实验课程为例，通过知识图谱技术精准刻画不同专业的思政教学目标，深入挖掘实验内容中蕴含的家国情怀、科学精神、生态文明、安全伦理等思政元素，并借助人工智能技术创新思政教学的评价过程，动态反馈课程思政的教学效果，指导教学实践的可持续改进。结果表明，数智时代利用人工智能技术可有效提升课程思政的针对性与实效性，为培养具有新工科卓越人才提供可借鉴的范式。

Abstract: Curriculum-based ideological and political education (CIPE) is an important approach to fulfilling the fundamental mission of fostering virtue through education and cultivating students within disciplinary courses. However, its implementation is often hindered by formulaic case design and insufficient alignment with professional content. The development of artificial intelligence (AI) provides new opportunities for CIPE development. Based on the experimental course of general chemistry, the CIPE was conducted with the application of AI. The knowledge graph technology was employed to precisely characterize the ideological and political teaching objectives tailored to different majors. And then, the ideological and political elements embedded in the experimental contents, including patriotism, scientific spirit, ecological civilization, and safety ethic were systematically extracted. After that, the evaluation process of ideological and political teaching was innovated by leveraging AI, which could dynamically feedback the teaching effectiveness and support the continuous improvement of teaching practice. The results indicate that the application of AI technology can effectively enhance the pertinence and effectiveness of CIPE under the background of digital intelligence, providing a reference model for cultivating outstanding talent in emerging engineering disciplines.