智慧教学赋能高校课程思政建设与效果评价

Smart Teaching Empowerment for the Construction and Effectiveness Evaluation of Ideological and Political Education in University Courses

摘要: 课程思政是高校落实立德树人的重要载体，但其建设实践中仍面临思政元素筛选机制欠系统、知识传授与价值引导的结构性关联薄弱、评价反馈时滞较长等问题。成果导向教育(OBE)以学习产出为逻辑起点，强调学生中心与持续改进，为上述问题提供了方法框架；智慧教学的数据采集、智能分析与即时反馈功能，则为该框架的实施提供了技术条件。本文依据OBE理念，探讨智慧教学在思政元素识别、教学融入和育人目标达成中的作用。分析表明，智慧教学平台可利用学习行为数据和课程知识图谱提高思政元素与专业知识的匹配程度，借助多模态与虚拟仿真技术拓展学生参与价值讨论的情境，并通过全过程数据记录为知识、能力、价值目标的跟踪提供依据。在评价环节，实时反馈、多主体参与和增值性评价有助于教师及时发现教学偏差并调整教学活动。智慧教学对课程思政的作用并非简单增加技术工具，而是把OBE的成果导向与持续改进要求转化为可观察、可反馈的教学过程。

Abstract: Curriculum ideological and political education is an important carrier for universities to implement moral education and talent cultivation. However, in its construction practice, it still faces problems such as the lack of systematic screening mechanism for ideological and political elements, the weak structural correlation between knowledge transmission and value guidance, and the long evaluation feedback time delay. Outcome-Based Education (OBE) takes learning outcomes as the logical starting point, emphasizes student-centeredness and continuous improvement, and provides a methodological framework for the above problems. The data collection, intelligent analysis and instant feedback functions of intelligent teaching provide technical conditions for the implementation of the framework. Based on the OBE concept, this paper examines the role of smart teaching in the identification of ideological and political elements, teaching integration and achievement of educational goals. The analysis shows that the smart teaching platform can improve the matching degree between ideological and political elements and professional knowledge by using learning behavior data and course map, expand the situation of students’ participation in value discussion by means of multimodal and virtual simulation technology, and provide the basis for the tracking of knowledge, ability, value goal through the whole process data record. In the effectiveness evaluation process, real-time feedback, multi-subject participation and value-added analysis are helpful for teachers to find teaching deviations in time and adjust teaching activities. The role of smart teaching in Ideological and political education in university courses is not simply to increase technical tools, but to transform the results-oriented and continuous improvement requirements of OBE into an observable and feedbackable teaching process.