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医学生对教育中人工智能的态度:认知、有效性及其可信度。

Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.

作者信息

Sami Abdul, Tanveer Fateema, Sajwani Khadeejah, Kiran Nafeesa, Javed Muhammad Ahsan, Ozsahin Dilber Uzun, Muhammad Khalid, Waheed Yasir

机构信息

NUST School of Health Sciences, National University of Sciences and Technology (NUST), Sector, Islamabad, H-12, 44000, Pakistan.

CMH Institute of Medical Science (CIMS), Multan, Pakistan.

出版信息

BMC Med Educ. 2025 Jan 17;25(1):82. doi: 10.1186/s12909-025-06704-y.

Abstract

BACKGROUND

The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' perceptions regarding the credibility and effectiveness of AI as a learning tool and to explore the dynamics of integrating AI in medical education.

METHODOLOGY

A cross-sectional study was carried out across medical colleges in Pakistan. A 26-question survey was developed using Google Forms from previously validated studies. The survey assessed demographics of participants, basic understanding of AI, AI as a learning tool in medical education and socio-ethical impacts of the use of AI. The data was analyzed using SPSS (v 26.0) to derive descriptive and inferential statistics.

RESULT

A total of 702 medical students aged 18 to 26 years (mean age 20.50 ± 1.6 years) participated in the study. The findings revealed a generally favorable attitude towards AI among medical students (80.3%), with the majority considering it an effective (60.8%) and credible (58.4%) learning tool in medical education. Students agreed that AI learning optimized their study time (60.3%) and provided up-to-date medical information (63.1%). Notably, 65.7% of students found AI more efficient in helping them grasp medical concepts compared to traditional tools like books and lectures, while 66.8% reported receiving more accurate answers to their medical inquiries through AI. The study highlighted that medical students view traditional tools as becoming increasingly outdated (59%), emphasizing the importance of integrating AI into medical education and creating dedicated AI tools (80%) for the medical education.

CONCLUSION

This study demonstrated that AI is an effective and credible tool in medical education, offering personalized learning experiences and improved educational outcomes. AI tools are helping students learn medical concepts by cutting down on study-time, providing accurate answers, and ultimately improving study outcomes. We recommend developing dedicated AI tools for medical education and their formal integration into medical curricula, along with appropriate regulatory oversight to ensure AI can enhance human abilities rather than acting as a replacement for humans.

摘要

背景

人工智能(AI)的迅速发展通过提供创新工具彻底改变了医学教育和医疗保健,这些工具增强了学习效果并改善了总体结果。该研究旨在评估学生对人工智能作为学习工具的可信度和有效性的看法,并探索将人工智能整合到医学教育中的动态情况。

方法

在巴基斯坦的医学院校开展了一项横断面研究。使用谷歌表单根据先前经过验证的研究制定了一份包含26个问题的调查问卷。该调查评估了参与者的人口统计学特征、对人工智能的基本理解、人工智能在医学教育中的学习工具作用以及使用人工智能的社会伦理影响。使用SPSS(v 26.0)对数据进行分析以得出描述性和推断性统计数据。

结果

共有702名年龄在18至26岁(平均年龄20.50±1.6岁)的医学生参与了该研究。研究结果显示医学生对人工智能总体持积极态度(80.3%),大多数人认为它是医学教育中一种有效的(60.8%)且可信的(58.4%)学习工具。学生们一致认为人工智能学习优化了他们的学习时间(60.3%)并提供了最新的医学信息(63.1%)。值得注意的是,65.7%的学生发现与书籍和讲座等传统工具相比,人工智能在帮助他们理解医学概念方面效率更高,而66.8%的学生报告称通过人工智能获得的医学问题答案更准确。该研究强调医学生认为传统工具正变得越来越过时(59%),强调了将人工智能整合到医学教育中以及为医学教育创建专用人工智能工具(80%)的重要性。

结论

本研究表明人工智能是医学教育中一种有效且可信的工具,能提供个性化学习体验并改善教育成果。人工智能工具通过减少学习时间、提供准确答案并最终提高学习成果来帮助学生学习医学概念。我们建议为医学教育开发专用人工智能工具并将其正式纳入医学课程,同时进行适当的监管监督,以确保人工智能能够增强人类能力而非替代人类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76a9/11744861/f051ddf62ec0/12909_2025_6704_Fig1_HTML.jpg

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