数智赋能P-MASE教学模式：高校沉浸式思政育人体系重构与实践研究

Digital Intelligence Empowered P-MASE Teaching Model: Reconstruction and Practical Research on Immersive Ideological and Political Education System in Universities

摘要: 教育数智化转型给高校思政课堂改革赋予了新的技术途径，传统体验式思政存在场景单薄、学生浅层参与、评价滞后等局限，不能满足当代青年数智化、个性化的学习需求。为了破解思政教育技术脱节、体验割裂的难题，本文从数智教育发展大势出发，以P-MASE教学模式的五环节递进逻辑为核心框架，依靠生成式人工智能、虚拟仿真、大数据学情分析等数智化手段，构建起以问题情境(Problem)、方法探索(Method)、科学分析(Analysis)、方案输出(Solution)、多维评价(Evaluation)为主要环节的P-MASE五环节教学育人体系，重新塑造数智化沉浸式思政育人链条，创建起数智场景浸润、情感价值认同、智能思辨研讨、精准实践落地、动态素养提升一体化的育人模式。本文系统梳理了数智技术与P-MASE五维模型的内在契合机理，设计出五维数智化实施路径、虚实融合教学场景和全过程智能评价体系，用校内班级进行对照教学实践。经过研究可知，利用数智技术可以弥补传统体验教学的不足，提高思政课的交互性、精准度，使思政教育由单向理论宣讲转变为学生主动体验、教师单一授课变为人机协同共育，切实提高立德树人的实际效果，给各个高校创建智慧思政、精准思政给予理论参照和可以执行的方案。

Abstract: The digital-intelligent transformation of education has endowed the reform of ideological and political classrooms in universities with new technological approaches, while conventional experiential ideological and political education is plagued by limitations such as monotonous scenarios, superficial student participation, and delayed evaluation, which fail to meet the digital-intelligent and personalized learning demands of contemporary youth. To address the dilemmas of disconnection between ideological and political education and technology and fragmented experiential learning, this paper proceeds from the general trend of digital-intelligent education development, taking the five-level progressive theory of P-MASE Teaching Model as the core framework, and leveraging digital-intelligent tools including generative artificial intelligence, virtual simulation, and big data-based academic performance analysis, constructs a P-MASE five-dimensional teaching system centered on Problem, Method, Analysis, Solution, and Evaluation as its key components, reshaping the full chain of digital-intelligent immersive ideological and political education, and establishing an integrated education mode featuring immersion in digital-intelligent scenarios, emotional and value recognition, intelligent critical seminars, targeted practical implementation, and dynamic literacy improvement. This paper systematically sorts out the internal compatibility mechanism between digital-intelligent technologies and the P-MASE five-stage teaching model, designs five-dimensional digital-intelligent implementation pathways, virtual-real integrated teaching scenarios, and a full-process intelligent evaluation system, and conducts controlled teaching practice among classes on campus. Research results demonstrate that digital-intelligent technologies can remedy the drawbacks of traditional experiential teaching, enhance the interactivity and precision of ideological and political courses, transform ideological and political education from one-way theoretical indoctrination into active student experiential learning, and shift teaching from individual teacher instruction to human-machine collaborative co-education, thereby effectively improving the effectiveness of fostering virtue through education, and providing theoretical references and actionable schemes for universities to develop smart and targeted ideological and political education.