Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education

被引:0
|
作者
Zheng, Koulong [1 ,2 ]
Shen, Zhiyu [1 ]
Chen, Zanhao [1 ]
Che, Chang [1 ]
Zhu, Huixia [1 ]
机构
[1] Nantong Univ, Qi Xiu Rd, Nantong 226007, Jiangsu, Peoples R China
[2] Nantong Univ, Affiliated Hosp 2, Nantong 226001, Jiangsu, Peoples R China
关键词
Artificial intelligence; Cardiovascular diseases; Educational measurement; Medical education; ARTIFICIAL-INTELLIGENCE; CRITICAL THINKING; MEDICAL-STUDENTS;
D O I
10.1186/s12909-024-05977-z
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Background Cardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The management of these conditions necessitates cardiologists to possess strong clinical reasoning and individual competencies. The internship phase is crucial for medical students to transition from theory to practical application, with an emphasis on developing clinical thinking and skills. Despite the critical need for education on cardiovascular diseases, there is a noticeable gap in research regarding the utilization of artificial intelligence in clinical simulation teaching. Objective This study aims to evaluate the effect and influence of AI-empowered scenario-based simulation teaching mode in the teaching of cardiovascular diseases. Methods The study utilized a quasi-experimental research design and mixed-methods. The control group comprised 32 students using traditional teaching mode, while the experimental group included 34 students who were instructed on cardiovascular diseases using the AI-empowered scenario-based simulation teaching mode. Data collection included post-class tests, "Mini-CEX" assessments, Clinical critical thinking scale from both groups, and satisfaction surveys from experimental group. Qualitative data were gathered through semi-structured interviews. Results Research shows that compared with traditional teaching models, AI-empowered scenario-based simulation teaching mode significantly improve students' performance in many aspects. The theoretical knowledge scores(P < 0.001), clinical operation skills(P = 0.0416) and clinical critical thinking abilities of students(P < 0.001) in the experimental group were significantly improved. The satisfaction survey showed that students in the experimental group were more satisfied with the teaching scene(P = 0.008), Individual participation(P = 0.006) and teaching content(P = 0.009). There is no significant difference in course discussion, group cooperation and teaching style of teachers(P > 0.05). Additionally, the qualitative data from the interviews highlighted three themes: (1) Positive new learning experience, (2) Improved clinical critical thinking skills, and (3) Valuable suggestions and concerns for further improvement. Conclusion The AI-empowered scenario simulation teaching Mode plays an important role in the improvement of clinical thinking and skills of medical undergraduates. This study believes that the AI-empowered scenario simulation teaching mode is an effective and feasible teaching model, which is worthy of promotion in other courses.
引用
收藏
页数:10
相关论文
共 5 条
  • [1] An AI-based virtual simulation experimental teaching system in space engineering education
    Shen, Yang
    Yu, Peng
    Lu, Hang
    Zhang, Xiangling
    Zeng, Haijun
    COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2021, 29 (02) : 329 - 338
  • [2] Scenario-Based e-Simulation Design for Global Health Education: Theoretical Foundation and Practical Recommendations
    Bahattab, Awsan
    Caviglia, Marta
    Martini, Daniela
    Hubloue, Ives
    Della Corte, Francesco
    Ragazzoni, Luca
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [3] Development and evaluation of virtual reality simulation education based on coronavirus disease 2019 scenario for nursing students: A pilot study
    Jeong, Younhee
    Lee, Hanna
    Han, Jeong-Won
    NURSING OPEN, 2022, 9 (02): : 1066 - 1076
  • [4] Application of "immersive contextualization based-learning teaching" mode in the orthopaedic musculoskeletal disorder module of clinical medicine education
    Cai, Wufeng
    You, Mingke
    Li, Jian
    Li, Qi
    Wang, Duan
    Wang, Haoyang
    BMC MEDICAL EDUCATION, 2023, 23 (01)
  • [5] Application of “immersive contextualization based-learning teaching” mode in the orthopaedic musculoskeletal disorder module of clinical medicine education
    Wufeng Cai
    Mingke You
    Jian Li
    Qi Li
    Duan Wang
    Haoyang Wang
    BMC Medical Education, 23