TPACK框架下高校思政课数字化赋能的整合困境与实践路径

Integration Dilemmas and Practical Paths of Digital Empowerment for University Ideological and Political Theory Courses under the TPACK Framework

摘要: 教育数字化战略深入实施以及生成式人工智能快速演进，为高校思想政治理论课拓展教学资源、重构教学场景、改进学情分析和优化过程评价提供了新的技术条件。然而，实践中数字化赋能高校思政课主要面临四重困境：内容知识与技术逻辑相互疏离；教学法与数字场景适配不足；教师整合性知识结构不健全；平台、数据、评价和治理机制协同不足。TPACK框架强调技术知识、教学法知识与学科内容知识及其复合知识的动态整合，为解决上述问题提供了适切视角。应坚持“育人为本、内容为根、教学为要、技术为用”，建立价值统摄的内容生产与审核机制；形成目标–内容–活动–技术–评价一致的教学设计；建设分层递进的教师TPACK发展体系；完善资源共建、数据治理、多元评价和风险防控机制，构建人机协同、虚实融合、开放共享且安全可控的数字化思政课新生态。

Abstract: The in-depth implementation of the digital education strategy and the rapid advancement of generative artificial intelligence have furnished new technical support for university ideological and political theory courses to expand teaching resources, restructure teaching scenarios, refine learning analytics and optimize formative assessment. Nevertheless, the digital empowerment of such courses is confronted with four prominent integration dilemmas in practical teaching: a disconnect between disciplinary knowledge and technological logic; insufficient compatibility between pedagogical approaches and digital scenarios; incomplete integrated knowledge systems among teachers; and inadequate coordination across platforms, data, evaluation and governance mechanisms. The TPACK framework, which centers on the dynamic integration of technological knowledge, pedagogical knowledge, disciplinary content knowledge and their composite forms, offers a well-suited theoretical lens to address the foregoing challenges. Guided by the philosophy of “cultivating people as the foundation, disciplinary content as the root, pedagogy as the priority, and technology as a supportive tool”, we shall establish a value-led mechanism for content creation and censorship, develop coherent teaching design integrating objectives, content, activities, technology and assessment, build a tiered, progressive TPACK development system for teachers, and perfect mechanisms for resource co-construction, data governance, diversified evaluation and risk prevention and control. These measures jointly contribute to the construction of a new digital ecosystem for ideological and political courses characterized by human-machine collaboration, the integration of virtual and real contexts, open sharing as well as security and controllability.