数智技术赋能高校《政治学原理》课程思政教学的思考

Reflections on How Digital and Intelligent Technologies Can Enhance Ideological and Political Education in the “Principles of Political Science” Course at Universities

摘要: 数智技术为《政治学原理》课程思政教学提供赋能机遇，但也面临技术与育人目标的现实张力。该课程具有理论抽象性强、隐性思政元素丰富、价值承载突出等特点。数智技术通过具象化叙事、精准化图谱与全过程评价可实现价值增效，但其赋能过程存在两大核心堵点：一是技术工具、专业内容与思政目标的深度融合之难，表现为“重形式、轻逻辑”的硬嵌入与思政元素的物理叠加；二是教师数智素养缺乏与角色转变之难，根源在于政治学教师“文本思维”与“数据思维”的本质冲突。对此，实践进路应聚焦开发“技术–内容–思政”三元融合教学模式；推动教师认知融合，构建包含学科知识、思政价值、技术工具与整合能力的四维能力发展模型，配套激励与协同机制。这为数智化思政建设提供理论支撑与实践指引。

Abstract: Digital and intelligent technologies offer opportunities to enhance ideological and political education in the “Principles of Political Science” course, but they also present practical challenges in balancing technological implementation with educational objectives. This course is characterized by a high degree of theoretical abstraction, a wealth of implicit ideological and political elements, and a strong emphasis on value transmission. Digital and intelligent technologies can enhance educational value through visual storytelling, precise mapping, and comprehensive assessment; however, the process of leveraging these technologies faces two core obstacles: First, the difficulty of deeply integrating technological tools, specialized content, and ideological and political objectives, which manifests as a “form over substance” approach—a rigid integration that merely superimposes ideological elements onto the content; Second, the lack of digital literacy among instructors and the difficulty of their role transition, rooted in the fundamental conflict between political science instructors’ “text-based thinking” and “data-driven thinking.” In response, a practical approach should focus on developing a “technology-content-ideological and political education” tripartite integrated teaching model; promoting the integration of instructors’ cognitive frameworks; and constructing a four-dimensional competency development model encompassing disciplinary knowledge, ideological and political values, technological tools, and integration capabilities, supported by corresponding incentive and collaborative mechanisms. This provides both theoretical support and practical guidance for the development of digital and intelligent ideological and political education.