跨专业通识课中AI赋能科技论文写作课程思政教育的三元融合框架建构

Construction of a Tripartite Integration Framework for AI-Empowered Ideological and Political Education within Interdisciplinary General Course Scientific Paper Writing

摘要: 在立德树人根本任务与教育数字化战略双重驱动下，思政育人模式重构已成为高校教学改革的重要议题。本文基于科技论文写作课程，构建了面向通识场景的“AI–思政–写作”三元融合动态路径模型。该模型以学术规范与思政素养统合为价值锚点，以AI思政资源生成与课堂互动设计为双翼驱动，依托课前–课中–课后三阶闭环与写作知识点到思政点的反向映射矩阵实现弹性供给；并进一步提出了国产大模型无代码低门槛工具链及可溶性微场景融入机制，将思维可视化模型轻量迁移至写作课。同时，明确了生成内容幻觉防范与教师主体性坚守的伦理边界。

Abstract: Under the dual impetus of the fundamental mission of cultivating virtue and nurturing talents and the education digitalization strategy, the restructuring of the ideological and political education model has become a critical issue in higher education teaching reform. Focusing on the Scientific Paper Writing course, this paper constructs a dynamic path model of “AI - ideological and political education - writing” tripartite integration tailored to general education contexts. The model takes the integration of academic norms and ideological and political literacy as its value anchor, and employs the AI-facilitated generation of ideological and political resources coupled with classroom interaction design as its dual-wing drive. It realizes flexible provision by relying on a three-stage closed loop spanning pre-class, in-class, and post-class phases, together with a reverse mapping matrix from writing knowledge points to ideological and political points. Furthermore, a no-code, low-threshold tool chain built on domestic large language models and a soluble micro-scenario integration mechanism are proposed, which enable the lightweight transfer of the thinking visualization model into the writing course. Simultaneously, the ethical boundaries are clarified regarding the prevention of generative content hallucinations and the upholding of teacher subjectivity.