Exploration on the application of knowledge graph in the evaluation of teaching effectiveness of surgical nursing
知识图谱在外科护理学教学效果评价中的应用探索

摘要

借助知识图谱可以实现教学效果评价的精准化、可视化，兼具前瞻性，不仅可诊断个体知识薄弱点与认知误区，还能评估临床思维等高阶能力的形成过程。本研究通过整合成果导向教育理念与学习分析技术，构建一个基于知识图谱的“评价目标-数据采集-图谱构建-智能分析”四环节评价框架。该框架旨在将碎片化的知识、技能与素养目标映射为结构化的语义网络，并通过采集多模态学习数据动态描绘学习者的认知轨迹与能力画像。本研究探索知识图谱技术如何革新外科护理学的教学效果评价体系，为外科护理学教学评价的智能化转型提供了理论模型与实践路径，对推动护理教育高质量发展具有参考价值。

Abstract

By leveraging knowledge graphs, the evaluation of teaching effectiveness can be made more precise and visual, with forward-looking features. It not only can diagnose individual knowledge weaknesses and cognitive misunderstandings, but also can assess the formation process of higher-order abilities such as clinical thinking. This study integrates the concept of outcome-oriented education with learning analytics technology to construct a four-stage evaluation framework based on knowledge graphs: “evaluation goals - data collection - graph construction - intelligent analysis”. This framework aims to map fragmented knowledge, skills, and quality goals into a structured semantic network, and dynamically depict the cognitive trajectory and ability profile of learners by collecting multimodal learning data. This study explores how knowledge graph technology can revolutionize the teaching effectiveness evaluation system of surgical nursing, providing a theoretical model and practical path for the intelligent transformation of surgical nursing teaching evaluation, and has reference value for promoting the high-quality development of nursing education.