基于知识图谱的深度学习模式在高职护理基本技术课程中的应用
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女,硕士,讲师

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2024年度江苏省卫生健康职业技术教育研究立项课题(WJ202414);2025年苏州市教育科学规划教育教学改革项目(2025/JK/02/108/11)


Application of deep learning model based on knowledge graph in the Nursing Fundamentals and Skills course of higher vocational colleges
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    目的 探讨基于知识图谱的深度学习模式在高职护理基本技术课程中的应用效果,为护理教学改革提供参考。方法 采用整群抽样法,选取我校护理学院2024级护理专业198名学生为研究对象,按班级分为观察组(n=100)与对照组(n=98)。对照组实施传统教学,观察组采用基于知识图谱的深度学习模式。课程结束后,比较两组学生的课程成绩,并使用学业自我效能量表、护理专业大学生自主学习能力测评量表及高职学生深度学习能力评价量表进行评估。结果 教学后观察组课程期末成绩、学业自我效能总分、自主学习能力总分及深度学习能力总分显著高于对照组(均P<0.05)。结论 在高职护理基本技术课程中应用基于知识图谱的深度学习模式,能有效提升护生的学业成绩、学业自我效能感、自主学习能力与深度学习能力,对推动护理教育数字化转型、培养高素质技术技能型护理人才具有重要价值。

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    Objective To explore the application effect of deep learning model based on knowledge graph in the Nursing Fundamentals and Skills course for higher vocational nursing students, and to provide references for nursing teaching reform. Methods A total of 198 nursing students enrolled in 2024 from the School of Nursing were selected through cluster sampling and divided into an experimental group (n=100) and a control group (n=98) by classes. The control group received traditional teaching, while the experimental group adopted the knowledge graph-based deep learning model. After the course, academic performance was compared between the two groups, and assessments were conducted using the Academic Self-Efficacy Scale, the Self-Directed Learning Ability Scale for Nursing Undergraduates, and the Deep Learning Ability Evaluation Scale for Higher Vocational Students. Results The experimental group demonstrated significantly higher scores than the control group in final course achievement, total academic self-efficacy, total self-directed learning ability, and total deep learning ability (all P<0.05). Conclusion The deep learning model based on knowledge graph applied in Nursing Fundamentals and Skills course for higher vocational colleges can effectively improve nursing students′ academic performance, academic self-efficacy, self-directed learning ability and deep learning ability. It is of great significance to promote the digital transformation of nursing education and cultivate high-quality technical and skilled nursing talents.

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程方满,吕涵,陈艳丽,周萍,张春梅,刘颖,葛宾倩,盛楠,陈美一,沈娟.基于知识图谱的深度学习模式在高职护理基本技术课程中的应用[J].护理学杂志,2026,41(14):65-68,74

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  • 收稿日期:2026-03-12
  • 最后修改日期:2026-04-20
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  • 在线发布日期: 2026-08-31