ISSN 2097-6054(网络) ISSN 1672-9234(印刷) CN 11-5289/R
主管:中国科学技术协会 主办:中华护理学会
出版:中华护理杂志社
收录:中国科学引文数据库(CSCD)来源期刊
   中国期刊全文数据库
   中国核心期刊(遴选)数据库
   Scopus

中华护理教育 ›› 2026, Vol. 23 ›› Issue (7): 822-829.doi: 10.3761/j.issn.1672-9234.2026.07.009

• 课程·教材·教法 • 上一篇    下一篇

健康评估智慧课程平台的构建与应用效果研究

王卓1(), 罗羽1, 谭静1, 洪燕1, 郑馨怡2, 王宗华1,*()   

  1. 1 陆军军医大学护理学院 重庆市 400038
    2 陆军军医大学基础医学院 重庆市 400038
  • 收稿日期:2026-03-01 出版日期:2026-07-15 发布日期:2026-07-17
  • 通讯作者: *王宗华,E-mail:zonghua910@tmmu.edu.cn
  • 作者简介:王卓:女,本科(硕士在读),主管护师,E-mail:wzhap@tmmu.edu.cn
    第一联系人:

    研究构思与设计为王宗华、罗羽,数据收集为王卓、洪燕、郑馨怡,数据处理为王卓,论文撰写为王卓、王宗华,英文修订为王卓、谭静,论文修改和审校为王宗华、罗羽、谭静。

  • 基金资助:
    陆军军医大学“人工智能+”建设课程(AIKC24)

Construction and evaluation of Health Assessment intelligent curriculum platform

WANG Zhuo1(), LUO Yu1, TAN Jing1, HONG Yan1, ZHENG Xinyi2, WANG Zonghua1,*()   

  1. 1 School of NursingArmy Medical UniversityChongqing 400038, China
    2 School of Basic Medical SciencesArmy Medical UniversityChongqing 400038, China
  • Received:2026-03-01 Online:2026-07-15 Published:2026-07-17
  • Contact: *WANG Zonghua,E-mail:zonghua910@tmmu.edu.cn
  • Supported by:
    “Artificial Intelligence Plus” Curriculum Construction Project of Army Medical University(AIKC24)

摘要:

目的 利用人工智能技术构建健康评估智慧课程平台并评价其效果。方法 将前期建设的多模态课程资源整合成知识库,开发多元图谱、智能问答系统和多智能体三大功能模块。通过性能测试评价健康评估智慧课程平台的准确性和专业性,并选取某院校16名在该平台辅助下学习健康评估课程的护理本科二年级学生作为研究对象,采用基于系统可用性量表的调查结合半结构化访谈的方式,请其对课程平台效果进行评价。结果 与Qwen3-Max模型相比,智能问答系统结构化数据得分、非结构化数据得分、总正确率依次提高30.00%、17.75%、21.84%。16名护理本科二年级学生对系统的可用性评分为(81.88±5.95)分。访谈结果显示,学生对健康评估智慧课程平台总体满意度较高,认为其有助于提升学习效率、激发学习兴趣。结论 健康评估智慧课程平台具有良好的可用性和专业性,应用效果较好。未来可对该课程平台行进一步实践和优化,以促进“人智协同”教学新生态的形成,推动护理教育数字化转型与高质量发展。

关键词: 教育, 护理, 健康评估, 人工智能, 课程平台

Abstract:

Objective To construct an intelligent curriculum platform for Health Assessment based on artificial intelligence(AI) technology and evaluate its application effect. Methods Pre-established multimodal curriculum resources were integrated into a knowledge base,and three functional modules including a multi-dimensional knowledge graph,an intelligent question-answering system and a multi-agent system were developed. The accuracy and professionalism of the platform were verified through performance tests. A total of 16 sophomore undergraduate nursing students who had completed the Health Assessment course with the assistance of this platform were enrolled as participants. The platform effectiveness was evaluated using System Usability Scale and semi-structured interviews. Results Compared with the Qwen3-Max model,the structured data score,unstructured data score and overall accuracy rate of the intelligent question answering system increased by 30.00%,17.75% and 21.84% respectively. The mean system usability score given by the 16 students was 81.88±5.95. Interview findings revealed high overall students satisfaction,as students reported that the platform effectively imporved learning efficiency and stimulated learning enthusiasm. Conclusion The intelligent curriculum platform for Health Assessment shows satisfactory usability,professionalism and desirable application effect. Further practical exploration and optimization of the platform can foster a new teaching ecosystem featuring human-AI collaboration,and promote the digital transformation and high-quality development of nursing education.

Key words: Education, Nursing, Health Assessment, Artificial Intelligence, Curriculum Platform