Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT

被引:35
|
作者
Castonguay, Alexandre [1 ]
Farthing, Pamela [2 ]
Davies, Shauna [3 ]
Vogelsang, Laura [4 ]
Kleib, Manal [5 ]
Risling, Tracie [6 ]
Green, Nadia [5 ]
机构
[1] Univ Montreal, Nursing Fac, Marguer dYouville Campus,CP 6128 succ Ctr ville, Montreal, PQ H3C 3J7, Canada
[2] Saskatchewan Polytech, Fac, Sch Nursing, SCBScN, Saskatoon, SK, Canada
[3] Univ Regina, Regina, SK, Canada
[4] Univ Lethbridge, Fac Hlth Sci, Lethbridge, AB, Canada
[5] Univ Alberta, Fac Nursing, Edmonton, AB, Canada
[6] Univ Calgary, Fac Nursing, Calgary, AB, Canada
关键词
Artificial intelligence; Health knowledge; attitudes; practice; Social responsibility; Authorship; Nursing education research; Nursing students; Nursing informatics; NURSES;
D O I
10.1016/j.nedt.2023.105916
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Artificial intelligence (AI) is driving global change. An AI language model like ChatGPT could revolutionize the delivery of nursing education in the future. ChatGPT is an AI-enabled text generator that has garnered significant attention due to its ability to engage in conversations and answer questions. Nurse educators play a crucial role in preparing nursing students for a technology-integrated healthcare system, and the emergence of ChatGPT presents both opportunities and challenges. While the technology has limitations and potential biases, it also has the potential to benefit students by facilitating learning, improving digital literacy, and encouraging critical thinking about AI integration in healthcare. Nurse educators can incorporate ChatGPT into their curriculum through formative or summative assessments and should prioritize faculty development to understand and use AI technologies effectively. Collaboration between educational institutions, regulatory bodies, and educators is crucial to establish provincial and national competencies and frameworks that reflect the increasing importance of AI in nursing education and practice. It is paramount that nurses and nurse educators be open to AI-enabled innovations as well as continue to critically think about their potential value to advance the profession so nurses are better prepared to lead the digital future.
引用
收藏
页数:3
相关论文
共 49 条
  • [41] Improving nursing education through an AI-enhanced mixed reality training platform: development and pilot evaluation
    Sepanloo, Kamelia
    Shevelev, Daniel
    Islam, Md Tariqul
    Son, Young-Jun
    Aras, Shravan
    Hinton, Janine E.
    ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2025,
  • [42] Theory before practice: Implicit assumptions about clinical nursing education in Australia as revealed through a shared critical reflection
    Grealish, Laurie
    Smale, Lacey Anne
    CONTEMPORARY NURSE, 2011, 39 (01) : 51 - 64
  • [43] Through the lens of the American Association of Colleges of Nursing's (AACN) new Essentials: Integration of human trafficking education and simulation within baccalaureate nursing curricula
    Martin, Dana R.
    Furr, Susan B.
    JOURNAL OF PROFESSIONAL NURSING, 2023, 47 : 31 - 34
  • [44] Advancing evidence-based practice and patient safety through integration of personal digital assistants into clinical nursing education
    Bakken, Suzanne
    John, Ritamarie
    Currie, Leanne M.
    NURSING OUTLOOK, 2008, 56 (01) : 38 - 40
  • [45] Development of Evidence-Based Guidelines for the Integration of Generative AI in University Education Through a Multidisciplinary, Consensus-Based Approach
    Symeou, Loizos
    Louca, Loucas
    Kavadella, Argyro
    Mackay, James
    Danidou, Yianna
    Raffay, Violetta
    EUROPEAN JOURNAL OF DENTAL EDUCATION, 2025,
  • [46] Artificial intelligence powering education: ChatGPT's impact on students' academic performance through the lens of technology-to-performance chain theory
    Al-Mamary, Yaser Hasan
    Alfalah, Adel Abdulmohsen
    Shamsuddin, Alina
    Abubakar, Aliyu Alhaji
    JOURNAL OF APPLIED RESEARCH IN HIGHER EDUCATION, 2024,
  • [47] AI IN IMAGING AND THERAPY: INNOVATIONS, ETHICS, AND IMPACT: REVIEW ARTICLE Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
    Wei, Lise
    Niraula, Dipesh
    Gates, Evan D. H.
    Fu, Jie
    Luo, Yi
    Nyflot, Matthew J.
    Bowen, Stephen R.
    El Naqa, Issam
    Cui, Sunan
    BRITISH JOURNAL OF RADIOLOGY, 2023, 96 (1150):
  • [48] Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education
    Shahzad, Muhammad Farrukh
    Xu, Shuo
    Zahid, Hira
    EDUCATION AND INFORMATION TECHNOLOGIES, 2025, 30 (03) : 3691 - 3716
  • [49] Impact of Digital Globalization on Health Behavior through Integration of Ideological and Political Education in Schools Leading to the Spirit for Fighting against COVID-19
    Yang, Guangping
    Xu, Ming
    Li, Jiayuan
    AMERICAN JOURNAL OF HEALTH BEHAVIOR, 2023, 47 (03): : 567 - 578