赋能整合医学教育:知识图谱驱动下内分泌系统课程教学的创新实践OA

The endocrine system serves as a core integrative discipline within the"molecule-cell-organ-system"four-dimensional regulatory network.However,challenges such as the complex-ity of hormonal networks,fragmented resources,and cross-system disconnections persist.Aligned with the latest syllabus and six foundational biomedical disciplines,a 441-node,domain-wide knowl-edge graph for endocrinology that vertically links anatomy,physiology,pathology,and pharmacology was constructed.Diverse learning resources were precisely anchored to each node,creating a closed-loop repository for learning,practice,and assessment.The KG-BOPPPS instructional model was in-novated,embedding the graph into pre-class preparation,in-class co-construction,and post-class di-agnosis,enabling data-driven precision teaching.Real-time multi-source evaluation tracks individual and class weaknesses via heatmaps and pathway maps,allowing immediate instructor intervention.A pilot in 2023(n=26)was followed by scaled deployment in 2025(n=133).Results show knowledge-point completion rising from 86%to 100%,mastery from 79%to 98%,and a 10.8(P=0.009 2)gain in final-exam scores,confirming a positive cycle of"graph depth → knowledge mastery → academic performance."