【摘要】 随着人工智能技术的发展，高校教学正迈向智能化转型。聚焦本科教学改革，提出由课程知识图谱、学习成效智能评估与个性化思维导图等组成的AI赋能“三位一体”教学系统。在AI辅助下，知识图谱实现教学内容的结构化呈现，提升课程逻辑与组织效率；基于大语言模型的评估机制融合作答过程与认知轨迹，生成精准反馈；个性化导图在此基础上呈现学生知识结构与思维特征，定制后续学习路径。三者协同构建“教—学—评”闭环，增强教学反馈的实时性与个性化支持。该模式为高校精准教学与智能教学生态提供了可行路径与理论支撑。更多还原

【Abstract】 With the advancement of artificial intelligence(AI) technologies, higher education is undergoing a transition toward intelligent teaching. This paper focuses on undergraduate teaching reform and proposes an AI-empowered triadic instructional system integrating course knowledge graphs, intelligent learning outcome assessment, and personalized mind maps. Under AI assistance, knowledge graphs enable structured representation of course content, enhancing logical coherence and instructional design. Large language model-based assessments merge student responses with cognitive patterns to generate precise feedback. Building on this, personalized mind maps visualize students’ knowledge structures and thinking patterns, offering tailored learning pathways. Together, these components form a closed-loop “teaching-learning-assessment” ecosystem that strengthens real-time feedback and individualized support. This model provides a practical and theoretical framework for precision teaching and intelligent education in universities.更多还原