Department of Orthopaedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Beijing, 100730, People's Republic of China.
BMC Med Educ. 2024 Nov 3;24(1):1251. doi: 10.1186/s12909-024-06232-1.
While large language models (LLMs) have demonstrated significant potential in medical education, there is limited understanding of medical students' acceptance of LLMs and the factors influencing their use. This study explores medical students' acceptance of LLMs in learning and examines the factors influencing this acceptance through the lens of the Technology Acceptance Model (TAM). A questionnaire survey conducted among Chinese medical students revealed a high willingness to use LLMs in their studies. The findings suggest that attitudes play a crucial role in predicting medical students' behavioral intentions to use LLMs, mediating the effects of perceived usefulness, perceived ease of use, and perceived risk. Additionally, perceived risk and social influence directly impact behavioral intentions. This study provides compelling evidence supporting the applicability of the TAM to the acceptance of LLMs in medical education, highlighting the necessity for medical students to utilize LLMs as an auxiliary tool in their learning process.
虽然大型语言模型 (LLMs) 在医学教育中显示出了巨大的潜力，但对于医学生对 LLM 的接受程度以及影响他们使用的因素，我们的了解还很有限。本研究通过技术接受模型（TAM）探讨了医学生对 LLM 在学习中的接受程度，并考察了影响这种接受程度的因素。一项针对中国医学生的问卷调查显示，他们非常愿意在学习中使用 LLM。研究结果表明，态度在预测医学生使用 LLM 的行为意图方面起着至关重要的作用，它调节了感知有用性、感知易用性和感知风险的影响。此外，感知风险和社会影响直接影响行为意图。本研究为 TAM 在医学教育中接受 LLM 的应用提供了有力的证据，强调了医学生在学习过程中必须将 LLM 作为辅助工具加以利用。
