人工智能技术赋能《乳品科学与技术》课程思政建设的实践探索

Practical Exploration of the Application of Artificial Intelligence Technology in the Ideological and Political Construction of the “Dairy Science and Technology” Course

摘要: 课程思政是落实立德树人根本任务的关键举措，但在专业课程教学中常面临思政元素融入生硬、育人形式单一等问题。本文以乳品科学与技术课程为例，探索利用人工智能技术(知识图谱、自然语言处理、推荐算法、虚拟仿真等)赋能课程思政建设的新路径。通过构建专业知识与思政资源的语义关联网络，开发智能问答、个性化推荐、虚拟情景模拟、学习行为分析等功能模块，设计了“行业精神叙事生成”“食品安全伦理推演”“科技自立自强知识推送”“绿色工厂设计辅助”等典型应用场景。实践表明，AI技术能够实现思政元素的精准嵌入与动态适配，构建“人机协同”的沉浸式育人环境，有效提升学生的职业认同感、法治意识与家国情怀，为理工科专业课程思政的数字化转型提供可复制的技术范式。

Abstract: Curriculum ideological and political education is a key measure to implement the fundamental task of cultivating morality and talents, but in the teaching of professional courses, there are often problems such as the rigid integration of ideological and political elements and the single form of education. This article takes the course of dairy science and technology as an example to explore a new path of using artificial intelligence technology (knowledge graph, natural language processing, recommendation algorithm, virtual simulation, etc.) to empower the ideological and political construction of the course. By constructing a semantic correlation network between professional knowledge and ideological and political resources, developing functional modules such as intelligent Q&A, personalized recommendation, virtual scenario simulation, and learning behavior analysis, typical application scenarios such as “industry spirit narrative generation”, “food safety ethics deduction”, “technology self-reliance and self-improvement knowledge push”, and “green factory design assistance” have been designed. Practice has shown that AI technology can achieve precise embedding and dynamic adaptation of ideological and political elements, build an immersive educational environment of “human-machine collaboration”, effectively enhance students’ professional identity, legal awareness, and patriotism, and provide a replicable technological paradigm for the digital transformation of ideological and political courses in science and engineering majors.