在人工智能、物联网与大数据交织演进的浪潮中,嵌入式系统原理及应用课程面临知识更新快、实践门槛高、教学资源碎片化等挑战。在AI赋能课堂智慧教学新形态教育模式下,培养自主学习、高层次创新型智慧人才是高校的首要任务。因此,提出AI赋能嵌入式课程线上线下混合式教学改革与实践,创建嵌入式AI课程并构建AI赋能嵌入式课程体系,进行AI赋能嵌入式课程线上线下混合式教学设计,让AI智能体贯穿课前诊断、课中交互、课后拓展的全链路,为每位学生动态生成“千人千面”的学习路径,实现真正的因材施教;同时引入多元数据驱动的多元化学习评价模型,精准刻画知识、形成可迭代、可解释的“AI+嵌入式”教学新生态,为打破传统混合式教学模式提供新思路。

Aiming at the converging waves of Artificial Intelligence, the Internet of Things, and big data, the course Principles and Applications of Embedded Systems is confronted with rapidly evolving knowledge, high practical thresholds, and fragmented teaching resources. Under the new paradigm of AI-empowered smart classrooms, cultivating self-directed, high-level, innovative talent has become the primary mission of universities. We therefore propose an AI-enabled blended-teaching reform and exploration for embedded courses: an embedded-AI curriculum is created and an AI-empowered embedded-course system is constructed. Online-offline blended instructional designs are developed in which AI agents permeate the entire learning chain—pre-class diagnosis, in-class interaction, and post-class extension—dynamically generating "one thousand faces for one thousand students" learning paths and realizing true individualized instruction. Simultaneously, a multi-data-driven, diversified learning-assessment model is introduced to accurately profile knowledge and form an iterative, interpretable “AI+Embedded” teaching ecosystem, offering a new roadmap for transcending traditional blended-teaching models.