ChatGPT-Based Learning: Generative Artificial Intelligence in Medical Education

被引:8
|
作者
Stretton, Brandon [1 ]
Kovoor, Joshua [1 ]
Arnold, Matthew [1 ]
Bacchi, Stephen [1 ]
机构
[1] Univ Adelaide, Adelaide Med Sch, Fac Hlth & Med Sci, Adelaide, SA 5000, Australia
关键词
Medical education; Artificial intelligence; Case based learning; Medical curriculum;
D O I
10.1007/s40670-023-01934-5
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Large language models like ChatGPT are a type of machine learning model that can offer a positive paradigm shift in casebased/problem-based learning (CBL/PBL). ChatGPT may be able to augment the existing paradigm to work in conjunction with the clinical-teacher in PBL/CBL case generation. It can develop realistic patient cases that could be revised by clinical teachers to ensure accuracy and relevance. Further, it can be directed to include specific case content in order to facilitate the constructive alignment of the case with the broader learning objectives of the curriculum. There is also the possibility of improving engagement by 'gamifying' CBL/PBL.
引用
收藏
页码:215 / 217
页数:3
相关论文
共 50 条
  • [21] Generative Artificial Intelligence Should Not Compromise Traditional Medical Education
    Hswen, Yulin
    Nguyen, Thu T.
    ACADEMIC MEDICINE, 2024, 99 (06) : 589 - 590
  • [22] Generative artificial intelligence in medical education: way to solve the problems
    Li, Yanxing
    Li, Jianjun
    POSTGRADUATE MEDICAL JOURNAL, 2023,
  • [23] Impact of Democratizing Artificial Intelligence: Using ChatGPT in Medical Education and Training
    Chen, Anjun
    Chen, Wenjun
    Liu, Yanfang
    ACADEMIC MEDICINE, 2024, 99 (06) : 589 - 589
  • [24] A ChatGPT-based approach for questions generation in higher education
    Sinh Trong Vu
    Huong Thu Truong
    Oanh Tien
    Tu Anh Le
    Tai Tan Mai
    PROCEEDINGS OF THE FIRST ACM WORKSHOP ON AI-POWERED QUESTION ANSWERING SYSTEMS FOR MULTIMEDIA, AIQAM 2024, 2024, : 13 - 18
  • [25] Response to: "The next paradigm shift? ChatGPT, artificial intelligence, and medical education"
    Tan, Li Feng
    Heng, Jonathan Jun Yi
    Teo, Desmond B.
    MEDICAL TEACHER, 2024, 46 (01) : 151 - 152
  • [26] ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research
    Chu, Candice P.
    FRONTIERS IN VETERINARY SCIENCE, 2024, 11
  • [27] Navigating Opportunities and Challenges of Artificial Intelligence: ChatGPT and Generative Models in Science Teacher Education
    Verma, Geeta
    Campbell, Todd
    Melville, Wayne
    Park, Byung-Yeol
    JOURNAL OF SCIENCE TEACHER EDUCATION, 2023, 34 (08) : 793 - 798
  • [28] Higher Education Students' Task Motivation in the Generative Artificial Intelligence Context: The Case of ChatGPT
    Hmoud, Mohammad
    Swaity, Hadeel
    Hamad, Nardin
    Karram, Omar
    Daher, Wajeeh
    Troussas, Christos
    Krouska, Akrivi
    Mylonas, Phivos
    Kabassi, Katerina
    Caro, Jaime
    Sgouropoulou, Cleo
    INFORMATION, 2024, 15 (01)
  • [29] Generative artificial intelligence (ChatGPT): Implications for management educators
    Ratten, Vanessa
    Jones, Paul
    INTERNATIONAL JOURNAL OF MANAGEMENT EDUCATION, 2023, 21 (03):
  • [30] Applications of Generative Artificial Intelligence in the Judiciary: The Case of ChatGPT
    Huang, Huiyao
    INTERNATIONAL JOURNAL OF MULTIPHYSICS, 2024, 18 (02) : 403 - 411