Volume 23 Issue 5
May  2025
Turn off MathJax
Article Contents
Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(5): 858-861
LIU Yang, TANG Sanhui, QIU Jun, ZHANG Liuyi, LIAO Qian, FANG Yi. Application of artificial intelligence in flipped teaching of undergraduate Pain Science[J]. Chinese Journal of General Practice, 2025, 23(5): 858-861. doi: 10.16766/j.cnki.issn.1674-4152.004018
Citation: LIU Yang, TANG Sanhui, QIU Jun, ZHANG Liuyi, LIAO Qian, FANG Yi. Application of artificial intelligence in flipped teaching of undergraduate Pain Science[J]. Chinese Journal of General Practice, 2025, 23(5): 858-861. doi: 10.16766/j.cnki.issn.1674-4152.004018
shu

Application of artificial intelligence in flipped teaching of undergraduate Pain Science

doi: 10.16766/j.cnki.issn.1674-4152.004018
  • 1.

    Department of Nursing, the First Affiliated Hospital of Hunan Normal University, Changsha, Hunan 410014, China

Funds:

 2021JGSZ040

  • Received Date: 2024-05-28
    Available Online: 2025-08-14
    Abstract
  •   Objective  To apply the artificial intelligence joint flipped teaching mode in undergraduate Pain Science clinical teaching, explore the application prospect of this method in clinical teaching, and analyze its practical value.  Methods  Full-time undergraduate students of grade 2021 (43) and grade 2022 (42) of general practice at Nanhua University were randomly selected as the study subjects. Class 2021 was the control group (teaching with flipped teaching mode), and class 2022 was the observation group (teaching by integrating artificial intelligence on the basis of the control group). The learning scores of the two groups of students on the content of Pain Science learning before and after class were compared, the evaluation of the two groups of students on the fun, innovation and practicality of teaching as well as the final theoretical examination results were analyzed, and statistically assessing the forms of communication between teachers and students and the mode of teaching was counted.  Results  The acceptability of the teaching content of pain science, the diagnostic ability of pain diseases and the interest in learning in the observation group after the lesson were [(96.7±3.3) points, (96.5±2.1) points, (96.3±3.2) points], which were higher than those in the observation group before the lesson [(85.7±1.2) points, (86.5±4.1) points, (82.2±6.8) points] and in the control group after the lesson [(93.6±2.8) points, (93.8±6.2) points, (92.7±4.7) points, P < 0.05], the recognition of the form of teacher-student communication and teaching mode of the observation group was significantly higher than that of the control group (P < 0.05), and the scores of the observation group's students' teaching interest, innovation, practicality, and final theoretical examination scores were [(96.3±2.4) points, (95.5± 1.7) points, (96.9±1.5) points, and (93.5±4.6) points], which were higher than those in the control group [(75.5±14.7) points, (76.6±13.9) points, (82.1±10.2) points, and (82.8±6.1) points, P < 0.05].  Conclusion  Based on flipped teaching and incorporating artificial intelligence, it can significantly improve the efficiency and teaching effect of pain clinical teaching, and is worthy of further promotion and application in Pain Science clinical teaching.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    欧永, 李文镪. 虚拟仿真技术在土木工程施工课程的翻转教学应用研究[J]. 林业科技情报, 2024, 56(1): 238-240. doi: 10.3969/j.issn.1009-3303.2024.01.072

    OU Y, LI W Q. Research on the Application of Virtual Simulation Technology in Flipped Teaching of Civil Engineering Construction Courses[J]. Forestry Science and Technology Information, 2024, 56(1): 238-240. doi: 10.3969/j.issn.1009-3303.2024.01.072
    [2]
    巴莹, 王雪敏, 陈艳, 等. PBL教学法联合翻转课堂在住院医师规范化培训中的应用效果[J]. 中国继续医学教育, 2023, 15(24): 85-89. doi: 10.3969/j.issn.1674-9308.2023.24.019

    BA Y, WANG X M, CHEN Y, et al. Application Effect of PBL Teaching Method Combined With Flipped Classroom in Resident Standardized Training[J]. China Continuing Medical Education, 2023, 15(24): 85-89. doi: 10.3969/j.issn.1674-9308.2023.24.019
    [3]
    吴芳, 苏壮志, 孙峥, 等. 人工智能辅助教学在医学影像规范化培训中的应用及探索[J]. 医学教育管理, 2023, 9(6): 746-751.

    WU F, SU Z Z, SUN Z, et al. Application and exploration of the artificial intelligence assisted teaching in standardized training program for medical imaging[J]. Medical Education Management, 2023, 9(6): 746-751.
    [4]
    胡雷. "互联网+"视域下小学语文"翻转课堂"教学模式的探究[J]. 中国新通信, 2023, 25(24): 176-178. doi: 10.3969/j.issn.1673-4866.2023.24.061

    HU L. Exploration of 'Flipped Classroom' teaching mode in primary school language under the perspective of 'Internet+'[J]. China New Telecommunications, 2023, 25(24): 176-178. doi: 10.3969/j.issn.1673-4866.2023.24.061
    [5]
    薛博文, 骆宏, 胡治国. 医学生学业倦怠研究进展[J]. 中华医学教育杂志, 2021, 41(9): 793-798. doi: 10.3760/cma.j.cn115259-20210331-00437

    XUE B W, LUO H, HU Z G. Research progress on academic burnout of medical students[J]. Chinese Journal of Medical Education, 2021, 41(9): 793-798. doi: 10.3760/cma.j.cn115259-20210331-00437
    [6]
    张燕, 陈慧蕾, 宣玲, 等. 翻转课堂结合MDT模式在产科临床教学中的应用探讨[J]. 中华全科医学, 2024, 22(5): 874-877. doi: 10.16766/j.cnki.issn.1674-4152.003524

    ZHANG Y, CHEN H L, XUAN L, et al. Exploring the application of flipped classroom combined with multidisciplinary teaching model in obstetrics clinical teaching[J]. Chinese Journal of General Practice, 2024, 22(5): 874-877. doi: 10.16766/j.cnki.issn.1674-4152.003524
    [7]
    苏莹莹, 彭草云, 张爱军, 等. 基于微课的翻转课堂教学方法在中医学八纲辨证教学中的实施效果[J]. 浙江医学教育, 2023, 22(6): 342-346.

    SU Y Y, PENG C Y, ZHANG A J, et al. Effect evaluation of flipping classroom teaching method based on micro class in eight principles syndrome differentiation teaching of traditional Chinese medicine[J]. Zhejiang Medical Education, 2023, 22(6): 342-346.
    [8]
    吴洪. 虚拟病人联合PACS的翻转课堂教学方法在肺栓塞见习带教中的应用[J]. 中华养生保健, 2023, 41(22): 98-101.

    WU H. The Appliance of Virtual Patient Combined with Medical Image Archiving andCommunication System in Apprenticeship Teaching of Pulmonary Embolism[J]. Chinese Health Care, 2023, 41(22): 98-101.
    [9]
    KANJEE Z, CROWE B, RODMAN A. Accuracy of a generative artificial intelligence model in a complex diagnostic challenge[J]. JAMA, 2023, 330(1): 78-80.
    [10]
    高丽珍, 张晓明, 李杰, 等. 新工科背景下工程实践教育的思考与探索[J]. 高教学刊, 2023, 9(21): 28-31, 36.

    GAO L Z, ZHANG X M, LI J, et al. Thinking and Exploration of Engineering Practice Education under the Background of New Engineering[J]. Journal of Higher Education, 2023, 9(21): 28-31, 36.
    [11]
    HAN E R, YEO S, KIM M J, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review[J]. BMC Med Educ, 2019, 19(1): 460.
    [12]
    袁波, 代华, 伍佳, 等. 人工智能在全科医学领域的应用[J]. 中华全科医学, 2021, 19(9): 1433-1436, 1572. doi: 10.16766/j.cnki.issn.1674-4152.002079

    YUAN B, DAI H, WU J, et al. Application of artificial intelligence applications in general practice[J]. Chinese Journal of General Practice, 2021, 19(9): 1433-1436, 1572. doi: 10.16766/j.cnki.issn.1674-4152.002079
    [13]
    DUONG M T, RAUSCHECKER A M, RUDIE J D, et al. Artificial intelligence for precision education in radiology[J]. Br J Radiol, 2019, 92(1103): 20190389. DOI: 10.1259/bjr.20190389.
    [14]
    王志华, 熊泽众, 马晟, 等. 智能医学教学实践中存在的问题与对策[J]. 中国社会医学杂志, 2022, 39(5): 531-534.

    WANG Z H, XIONG Z Z, MA S, et al. Existing Problems and Countermeasures in the Teaching Practice of Intelligent Medicine[J]. Chinese Journal of Social Medicine, 2022, 39(5): 531-534.
    [15]
    MASTERS K. Artificial intelligence in medical education[J]. Med Teach, 2019, 41(9): 976-980.
    [16]
    黄路, 蒋靓君, 谭延斌, 等. CBL联合人工智能教学模式在新形势急诊骨科教学中的应用探索[J]. 中国继续医学教育, 2021, 13(32): 9-13.

    HUANG L, JIANG L J, TAN Y B, et al. Application Exploration of CBL Combined With Artificial Intelligence Teaching Mode in Emergency Orthopedics Teaching Under New Situation[J]. China Continuing Medical Education, 2021, 13(32): 9-13.
    [17]
    王帅. 基于5G+人工智能对医学影像技术专业岗位需求的网络实训教学模式研究[J]. 中国中医药现代远程教育, 2021, 19(16): 164-166.

    WANG S. Research on Network Practical Training Teaching Mode Based on 5G Artificial Intelligence Requirements for Medical Imaging Technology Professional Positions[J]. Chinese Medicine Modern Distance Education of China, 2021, 19(16): 164-166.
    [18]
    TOLSGAARD M G, PUSIC M V, SEBOK-SYER S S, et al. The fundamentals of artificial intelligence in medical education research: AMEE Guide No. 156[J]. Med Teach, 2023, 45(6): 565-573.
    [19]
    李鸿浩, 陈波, 李建平, 等. 医学教育中人工智能应用的现状、问题与对策[J]. 中国循证医学杂志, 2020, 20(9): 1092-1097.

    LI H H, CHEN B, LI J P, et al. Status, problems and countermeasures of artificial intelligence application in medical education[J]. Chinese Journal of Evidence-based Medicine, 2020, 20(9): 1092-1097.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(3)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (7) PDF downloads(0) Cited by()
    Proportional views
    Related

    Address：No. 287, Changhuai Road, Bengbu, Anhui Province, 233004, P.R.ChinaphoneNo：0552-3066635； 0552-3051890Email：zhqkyx@163.com

    Copyright © Chinese Journal of General Practice皖ICP备2020018345号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return