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 (4): 443-450.doi: 10.3761/j.issn.1672-9234.2026.04.010

• 思政教育与素质教育 • 上一篇    下一篇

基于高意识生成式学习的中医护理学课程思政教学创新实践

王嘉煜1(), 秦元梅1, 杜羿霏2, 张琼1, 和青森1, 杨雯雯3,*()   

  1. 1.河南中医药大学护理学院(智慧康养护理行业学院) 郑州市 450046
    2.郑州大学附属肿瘤医院(河南省肿瘤医院)重症医学科 郑州市 450008
    3.郑州大学附属肿瘤医院(河南省肿瘤医院)头颈外科 郑州市 450008
  • 收稿日期:2025-09-22 出版日期:2026-04-15 发布日期:2026-04-16
  • 通讯作者: *杨雯雯,E-mail:1617159790@qq.com
  • 作者简介:王嘉煜:男,硕士,讲师,E-mail:1762181711@qq.com
  • 基金资助:
    河南省医学科技攻关计划联合共建项目(LHGJ20230095)

Integrating high-consciousness generative learning into ideological and political education of Traditional Chinese Medicine Nursing:an innovative practice

WANG Jiayu1(), QIN Yuanmei1, DU Yifei2, ZHANG Qiong1, HE Qingsen1, YANG Wenwen3,*()   

  1. 1. School of Nursing & Nursing School of Smart Healthcare Industry,Henan University of Chinese Medicine,Zhengzhou 450046,China
    2. Intensive Care Unit,the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital,Zhengzhou 450008,China
    3. Otorhinolaryngology Head and Neck Surgery,the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital,Zhengzhou 450008,China
  • Received:2025-09-22 Online:2026-04-15 Published:2026-04-16
  • Contact: *YANG Wenwen,E-mail:1617159790@qq.com
  • Supported by:
    Joint Construction Project of Henan Medical Science and Technology Tackling Plan(LHGJ20230095)

摘要:

目的 探讨生成式人工智能(artificial intelligence generated content,AIGC)赋能的高意识生成式学习在中医护理学课程思政教学中的应用路径与效果。 方法 通过建构课程思政目标、构建课程与思政教学融合方案、明确课程思政教学实施过程,设计融入高意识生成式学习的中医护理学课程思政教学,并建设相关资源库。选取某中医药大学2022级护理专业本科生131名为教学对象,依托AIGC,对其开展“智慧型提问—循证性审辨—个性化学习”三阶段进阶式课程思政教学。通过课程成绩、学生及同行评价结果,评估中医护理学课程思政教学效果。 结果 学生课程成绩为(81.76±6.08)分,超过81.0%的学生对课程思政教学在中医思维认知、创新与迁移能力和职业价值认同3个维度的作用持认同态度。13名同行对课程思政教学设计与实施各维度上表示“满意”或“非常满意”。 结论 高意识生成式学习融入中医护理学课程思政能够引导学生在思辨探究中培养科学精神和审辨能力,在实践创造中体验专业价值,在文化传承中树立自信,获得了学生和同行的认可。

关键词: 高意识生成式学习, 生成式人工智能, 中医护理学, 课程思政

Abstract:

Objective To explore the application path and effectiveness of Artificial Intelligence Generated Content (AIGC)-empowered high-consciousness generative learning within the ideological and political teaching of Traditional Chinese Medicine(TCM) Nursing. Methods An ideological and political teaching model of TCM Nursing integrated with high-consciousness generative learning was constructed. This involved defining ideological and political objectives,designing the integration scheme of professional course and ideological and political teaching,clarifying the implementation process,and establishing relevant resource databases. A total of 131 undergraduate nursing students from the 2022 cohort of a TCM university were selected as research subjects. Based on AIGC,a three-stage progressive ideological and political teaching was carried out,including “intelligent questioning-evidence-based critical thinking-personalized learning”. Teaching effectiveness was evaluated based on course scores,student feedbacks,and peer reviews. Results The average course score of students was(81.76±6.08). More than 81.0% of students recognized the role of ideological and political teaching on three dimensions:cognition of TCM thinking,innovation and transfer ability,and professional value identification. Thirteen peers rated the design and implementation of ideological and political teaching as “satisfactory” or “very satisfactory”. Conclusion The integration of high-consciousness generative learning into the ideological and political teaching of TCM Nursing effectively guides students to cultivate scientific spirit and critical thinking through speculative inquiry,experience professional value in practical creation,and establish confidence in cultural inheritance. This teaching model has gained recognition from both students and peers.

Key words: High-Consciousness Generative Learning, Artificial Intelligence Generated Content, Traditional Chinese Medicine Nursing, Ideological and Political Education