基于人工智能技术的健康评估教学平台的构建与初步应用研究

doi:10.3761/j.issn.1672-9234.2026.02.001

中华护理教育 ›› 2026, Vol. 23 ›› Issue (2): 133-139.doi: 10.3761/j.issn.1672-9234.2026.02.001

• 专题策划——人工智能赋能护理教育 • 下一篇

基于人工智能技术的健康评估教学平台的构建与初步应用研究

文靖(), 杨智慧, 闭晓君, 林劲秋, 赵倩倩, 张萍, 张立力^*()

南方医科大学护理学院广州市 510515

收稿日期:2025-09-22 出版日期:2026-02-15 发布日期:2026-02-11
通讯作者: * 张立力，E-mail：zhanglili_gzsmu@163.com
作者简介:文靖：女，本科（硕士在读），E-mail：wjing2023907@163.com
基金资助:
广东省教学质量与教学改革工程项目(粤教高函〔2024〕4号)

Development and preliminary application of an AI-based teaching platform for Health Assessment

WEN Jing(), YANG Zhihui, BI Xiaojun, LIN Jinqiu, ZHAO Qianqian, ZHANG Ping, ZHANG Lili^*()

School of Nursing，Southern Medical University，Guangzhou 510515，China

Received:2025-09-22 Online:2026-02-15 Published:2026-02-11
Contact: * ZHANG Lili，E-mail：zhanglili_gzsmu@163.com
Supported by:
Guangdong Provincial Teaching Quality and Teaching Reform Project (Guangdong Education Department Letter 〔2024〕 No. 4)

摘要/Abstract

摘要：

目的构建基于人工智能（artificial intelligence，AI）技术的健康评估教学平台并探讨其初步应用效果，为AI赋能护理教学实践提供参考。方法聚焦健康评估的教学需求，整合智谱AI、Deepseek（深度求索）等大语言模型与九大功能引擎，构建具有专业特色的教学平台。采用历史对照设计，选取广东省某高校护理学专业2022级的51名本科生为对照组，2023级的51名本科生为试验组。比较两组的理论和操作考核成绩，并对比试验组教学前后的临床推理能力变化，调查试验组对平台的可用性评价与满意度。结果 AI教学平台具备个性化学习规划、多角色交互引导、实时智能问答等功能。教学后，试验组的理论和操作考核成绩均高于对照组（P<0.05）。试验组在教学前后的临床推理能力平均分从52.65分提升至64.41分，差异具有统计学意义（P<0.05）。系统可用性量表平均分为72.12分，可用性良好；学生对平台满意度平均分为78.51分，表明学生对AI教学平台的认可度较高。结论基于AI技术的健康评估教学平台具有良好的科学性与可用性，有助于提升学生理论知识、实践操作水平及临床推理能力，展现了其在护理教育数智化转型中的应用潜力，未来可进一步优化并推广应用。

关键词: 教育, 护理, 健康评估, 人工智能, 教学平台, 可用性

Abstract:

Objective To develop an artificial intelligence（AI）-based teaching platform for Health Assessment and explore its preliminary application effects，thereby providing a reference for AI-enhanced nursing education. Methods A specialized teaching platform was developed by integrating large language models （e.g.，Zhipu AI，DeepSeek） with nine functional engines，based on an analysis of Health Assessment teaching requirements. A historical control design was adopted. Fifty-one undergraduate nursing students from the 2022 cohort at a university in Guangdong Province were assigned as the control group，and 51 students from the 2023 cohort as the experimental group. Theoretical knowledge and practical skill scores were compared between the two groups. Within the experimental group，clinical reasoning ability was assessed before and after the intervention. The platform’s usability and student satisfaction were also investigated in the experimental group. Results The AI-powered platform featured personalized learning planning，multi-role interactive guidance，and real-time intelligent Q & A. Post-intervention，the experimental group achieved significantly higher scores than the control group in both theoretical knowledge and practical skills （P<0.05）. The mean clinical reasoning ability score within the experimental group increased signifi-cantly from 52.65 to 64.41 （P<0.05）. The average System Usability Scale （SUS） score was 72.12，indicating good usability. The average satisfaction score was 78.51，reflecting high student acceptance. Conclusion The AI-based Health Assessment teaching platform exhibits sound scientific validity and usability. It enhances nursing students’ theoretical knowledge，skills level，and clinical reasoning abilities，showing its application potential in the digital and intelligent transformation of nursing education. Further optimization and broader implementation are recommended for future development.

Key words: Education, Nursing, Health Assessment, Artificial Intelligence, Teaching Platform, Usability

文靖, 杨智慧, 闭晓君, 林劲秋, 赵倩倩, 张萍, 张立力. 基于人工智能技术的健康评估教学平台的构建与初步应用研究[J]. 中华护理教育, 2026, 23(2): 133-139.

WEN Jing, YANG Zhihui, BI Xiaojun, LIN Jinqiu, ZHAO Qianqian, ZHANG Ping, ZHANG Lili. Development and preliminary application of an AI-based teaching platform for Health Assessment[J]. Chinese Journal of Nursing Education, 2026, 23(2): 133-139.

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基于人工智能技术的健康评估教学平台的构建与初步应用研究

Development and preliminary application of an AI-based teaching platform for Health Assessment

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