新工科背景下人工智能赋能课程思政设计与实施——以《机器人技术基础》课程为例

Design and Implementation of AI-Empowered Curriculum Ideological and Political Education under the Background of Emerging Engineering Education—A Case Study of the Course Fundamentals of Robotics

摘要: 新工科建设背景下，专业课程不仅承担知识传授功能，也肩负工程素养塑造、价值引领和创新能力培养的重要使命。随着生成式人工智能技术的快速发展，专业课程的教学内容、教学组织方式和课程思政实施路径面临重构需求。针对当前课程教学中存在的教学目标偏重知识传授、思政元素挖掘不够系统、理论课堂与实验环节衔接不足、评价反馈不够具体等问题，文章以《机器人技术基础》课程为例，将人工智能技术引入课程思政教学设计过程，构建了元素挖掘、教学实施、评价反馈一体化课程思政教学设计路径，并围绕思政元素挖掘、资源建设、融入设计、教学实施与评价反馈进行了系统设计。文章构建的路径有助于提升专业课程思政实施的针对性、连续性和实效性，可为相关工科课程教学改革提供参考。

Abstract: Under the background of emerging engineering education, professional courses not only undertake the function of knowledge transmission, but also shoulder the important mission of cultivating engineering literacy, value guidance, and innovation ability. With the rapid development of generative artificial intelligence, the teaching content, teaching organization, and implementation path of curriculum ideological and political education are facing new demands for reconstruction. In response to such problems as overemphasis on knowledge transmission, insufficiently systematic mining of ideological and political elements, inadequate linkage between theoretical classes and experimental teaching, and lack of specific evaluation and feedback, this paper takes the course Fundamentals of Robotics as an example and introduces artificial intelligence into the instructional design of curriculum ideological and political education. An integrated path covering element mining, teaching implementation, and evaluation feedback is constructed, and systematic design is carried out from the aspects of element mining, resource development, integration design, teaching implementation, and evaluation feedback. The proposed path helps enhance the pertinence, continuity, and effectiveness of curriculum ideological and political education in professional courses, and may provide reference for teaching reform in related engineering courses.