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

中华护理教育 ›› 2025, Vol. 22 ›› Issue (11): 1305-1310.doi: 10.3761/j.issn.1672-9234.2025.11.004

• 专题策划——学科交叉人才培养 • 上一篇    下一篇

人工智能赋能护理科研与实践的研究生课程设计与教学研究

张雯(), 袁长蓉, 陈奕, 吴傅蕾, 邢唯杰, 朱政, 顾春怡, 杨瑒, 蔡诗凝, 黄青梅()   

  1. 200032 上海市 复旦大学护理学院（张雯，袁长蓉，陈奕，吴傅蕾，邢唯杰，朱政，黄青梅）; 复旦大学附属妇产科医院（顾春怡）; 复旦大学附属肿瘤医院（杨瑒）; 复旦大学附属中山医院（蔡诗凝）
  • 收稿日期:2025-08-31 出版日期:2025-11-15 发布日期:2025-11-17
  • 通讯作者: 黄青梅
  • 作者简介:张雯，女，博士，讲师，E-mail：zhangwennurs@fudan.edu.cn
  • 基金资助:
    第一批“复旦大学AI-BEST课程体系——AI学科进阶课程”建设立项

Design and teaching practice of the course Strategies and Methods for AI-Empowered Nursing Research and Practice

ZHANG Wen(), YUAN Changrong, CHEN Yi, WU Fulei, XING Weijie, ZHU Zheng, GU Chunyi, YANG Yang, CAI Shining, HUANG Qingmei()   

  • Received:2025-08-31 Online:2025-11-15 Published:2025-11-17
  • Contact: HUANG Qingmei

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摘要：

目的 设计人工智能（artificial intelligence，AI）赋能护理科研与实践的策略与方法课程并评价教学实践效果。 方法 在组建多学科背景的课程建设与教学团队的基础上，设计AI赋能护理科研与实践的策略与方法课程，主要步骤包括：明确课程目标，设计教学内容、方式、实施，建设课程资源。于2024年9月—11月对首批选修该公共选修课程的55名研究生实施教学，通过学生课程成绩、对学生的课程满意度调查结果，以及访谈学生课程收获等，综合评价教学实践效果。 结果 55名学生中，14名博士生，41名硕士生；50名学生专业背景为护理学，2名来自生物化学与分子生物学专业，3名分别来自医学系统生物学、外科学、儿科学专业；课程成绩为A者12名（22%），为A-者31名（56%），为B+者12名（22%）；对课程教学的满意度评分为（8.30±1.72）分。从对5名学生的访谈资料中提取出课程内容启发性强、讨论式教学提升学生获得感、感知受用、期望和建议（包括增加AI基础知识相关课程内容、增加实操和项目孵化训练、增加学科交叉教师授课、授课重点突出并直击临床痛点）4个主题。 结论 AI赋能护理科研与实践的策略与方法课程的教学实践获得了较好的成效，内容和形式得到学生认可，可为AI时代下护理科研与临床实践创新型人才的培养提供参考与示范。

关键词: 教育，护理, 人工智能, 学科交叉, 课程建设

Abstract:

Objective To develop the course Strategies and Methods for AI-Empowered Nursing Research and Practice and evaluate the effect of its teaching practice. Methods On the basis of establishing a course development and teaching team with multidisciplinary backgrounds，the course Strategies and Methods for AI-Empowered Nursing Research and Practice was designed. The main steps included：defining course objectives；designing teaching content，methods and implementation；developing course resources. From September to November 2024，teaching practice was implemented among 55 first-batch elective students who elected this public optional course. The teaching practice effect was comprehensively evaluated through students’ course scores，the results of students’ course satisfaction survey，and interviews on students’ course gains etc. Results Among the 55 students，there were 14 doctoral students and 41 master level students. In terms of academic background，50 students had a major in Nursing. Of the remaining 5 students，2 were from the major of Biochemistry and Molecular Biology，and the other 3 were from the majors of Medical Systems Biology，Surgery，and Pediatrics respectively. For students’ course grades：12 students（22%） received a grade of A，31 students（56%） received A-，and 12 students（22%） received B+. The average score of course satisfaction was（8.30±1.72）. Four themes were derived from students’ interview data：1） the course content was highly enlightening；2） discussion-based teaching enhanced students’ sense of gain；3） perceived practicality of the course；4） expectations and suggestions，including adding courses related to basic AI knowledge，increasing practical operations and project incubation training，involving more interdisciplinary teachers in teaching，and making teaching focus more prominent to address clinical pain points directly. Conclusion The teaching practice of the course Strategies and Methods for AI-Empowered Nursing Research and Practice has achieved good results. Its content and format have been widely recognized by students，providing a reference and demonstration for the cultivation of innovative talents in nursing research and clinical practice in the AI era.

Key words: Education，Nursing, Artificial Intelligence, Interdisciplinary, Course Development