School of Public Health, Dalian Medical University, Dalian, China.
Dalian Medical University, Dalian, China.
BMC Med Educ. 2024 Jun 7;24(1):644. doi: 10.1186/s12909-024-05627-4.
The rapid growth of artificial intelligence (AI) technologies has been driven by the latest advances in computing power. Although, there exists a dearth of research on the application of AI in medical education.
this study is based on the TAM-ISSM-UTAUT model and introduces STARA awareness and chilling effect as moderating variables. A total of 657 valid questionnaires were collected from students of a medical university in Dalian, China, and data were statistically described using SPSS version 26, Amos 3.0 software was used to validate the research model, as well as moderated effects analysis using Process (3.3.1) software, and Origin (2021) software.
The findings reveal that both information quality and perceived usefulness are pivotal factors that positively influence the willingness to use AI products. It also uncovers the moderating influence of the chilling effect and STARA awareness.
This suggests that enhancing information quality can be a key strategy to encourage the widespread use of AI products. Furthermore, this investigation offers valuable insights into the intersection of medical education and AI use from the standpoint of medical students. This research may prove to be pertinent in shaping the promotion of Medical Education Intelligence in the future.
人工智能 (AI) 技术的快速发展得益于计算能力的最新进展。尽管如此，关于人工智能在医学教育中的应用的研究仍然很少。
本研究基于 TAM-ISSM-UTAUT 模型，并引入 STARA 意识和冷却效应作为调节变量。共从中国大连一所医科大学的学生中收集了 657 份有效问卷，并使用 SPSS 版本 26 对数据进行了统计描述，使用 Amos 3.0 软件验证研究模型，以及使用 Process（3.3.1）软件和 Origin（2021）软件进行调节效应分析。
研究结果表明，信息质量和感知有用性都是积极影响人工智能产品使用意愿的关键因素。它还揭示了冷却效应和 STARA 意识的调节作用。
这表明提高信息质量可以成为鼓励广泛使用人工智能产品的关键策略。此外，本研究从医学生的角度探讨了医学教育和人工智能使用的交叉点，为未来医学教育智能的推广提供了有价值的见解。
