基于AI赋能与区域特色人才培养视角的《法医毒理学》智慧课程建设

Construction of Intelligent Curriculum of Forensic Toxicology from the Perspective of AI Empowerment and Frontier Talent Training

摘要: 在教育数字化战略背景下，传统《法医毒理学》教学面临直观性不足、实践资源受限、学科交叉融合困难等痛点。课程立足云南区域禁毒与公共卫生防控需求，提出构建“知识图谱化重构、AI智能助学、典型案例库集成、个性化学习评价”四位一体的智慧课程体系。在前期整合实验教学改革(171名学生)基础上，通过“设计–实施–评价–再设计”的两轮迭代路径，深度融合人工智能、虚拟仿真与大数据技术，构建了覆盖“毒理机制–毒物分析–司法鉴定”全链条的动态知识图谱，开发了集成案例自主研判与个性化学习推荐的AI助学系统，并建设了反映区域高发毒物特色的数字化资源库。该体系有效破解了教学核心痛点，提升了学生毒理学综合研判与实战能力，为培养服务区域禁毒与公共卫生实践的实用型、创新型法医学人才提供了可推广的教学范式。

Abstract: Driven by the digital transformation of education digitalization strategy, traditional Forensic Toxicology teaching faces challenges such as insufficient intuitiveness, limited practical resources, and difficulties in interdisciplinary integration. Focusing on the needs of drug control and public health in the Yunnan regions of Yunnan, this paper proposes a four-in-one intelligent curriculum system integrating knowledge graph reconstruction, AI-assisted learning, a typical case base, and personalized learning evaluation. Based on the previous integrated experimental teaching reform involving 171 students, the team designed a two-round iterative pathway of “design-implementation-evaluation-redesign” to deeply integrate artificial intelligence, virtual simulation, and big data technologies. A dynamic knowledge graph covering the complete chain of “toxicological mechanisms - poison analysis - judicial application” was constructed, and an AI tutoring system featuring autonomous case analysis and personalized learning path recommendations was developed. Furthermore, a digital resource library reflecting regional high-incidence poisons was established. This system effectively addresses core teaching challenges, enhances students’ comprehensive toxicological judgment and practical capability, and provides a replicable curriculum paradigm for cultivating innovative forensic talents to serve regional drug control and public health strategy.