知识图谱与人工智能驱动的流行病学教学创新研究

Innovative Research on Knowledge Graphs and Artificial Intelligence-Driven Epidemiology Teaching

摘要: 知识图谱与人工智能(Artificial Intelligence, AI)在高校课程教学中的应用日益广泛。本文探讨了知识图谱和AI赋能的高校课程教学现状，详细介绍了流行病学知识图谱的构建过程，包括知识获取、实体与关系抽取、可视化及知识操作等方面。此外，还阐述了构建的知识图谱在流行病学教学实践中的应用，包括个性化教学模式设计、互动式教学实践以及多维度教学反馈与综合评价，强调了个性化学习路径的制定以及AI在教学实践中的重要作用，旨在为流行病学教学改革提供有益的参考。

Abstract: Knowledge graphs and artificial intelligence (AI) are increasingly in university course teaching. This study explored the current state of AI-driven knowledge graph applications in university teaching, with a focus on epidemiology. We detail the construction of an epidemiology knowledge graph, encompassing knowledge acquisition, entity-relation extraction, visualization, and knowledge manipulation. Furthermore, we demonstrate pedagogical implementation through personalized learning design, interactive teaching, and multidimensional performance evaluation. Our findings highlight the efficacy of AI in enabling adaptive learning pathways and enhancing instructional outcomes, offering a framework for innovative epidemiology teaching reform.