Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study.

MedEdPublish (2016) Pub Date : 2025-01-23 eCollection Date: 2024-01-01 DOI:10.12688/mep.20554.2
David Mukunya, Ritah Nantale, Frank Kayemba, Elizabeth Ajalo, Kennedy Pangholi, Jonathan Babuya, Suzan Langoya Akuu, Amelia Margaret Namiiro, Ronald Tweheyo, Steven Ekak, Brenda Nakitto, Kirsten Nantongo, Joseph Luwaga Mpagi, Milton W Musaba, Faith Oguttu, Job Kuteesa, Aloysius Gonzaga Mubuuke, Ian Guyton Munabi, Sarah Kiguli
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Abstract

Background: ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. We assessed the use of ChatGPT and other Artificial Intelligence (AI) tools among medical faculty in Uganda.

Methods: We conducted a descriptive cross-sectional study among medical faculty at four public universities in Uganda from November to December 2023. Participants were recruited consecutively. We used a semi-structured questionnaire to collect data on participants' socio-demographics and the use of AI tools such as ChatGPT. Our outcome variable was the use of ChatGPT and other AI tools. Data were analyzed in Stata version 17.0.

Results: We recruited 224 medical faculty, majority [75% (167/224)] were male. The median age (interquartile range) was 41 years (34-50). Almost all medical faculty [90% (202/224)] had ever heard of AI tools such as ChatGPT. Over 63% (120/224) of faculty had ever used AI tools. The most commonly used AI tools were ChatGPT (56.3%) and Quill Bot (7.1%). Fifty-six faculty use AI tools for research writing, 37 for summarizing information, 28 for proofreading work, and 28 for setting exams or assignments. Forty faculty use AI tools for non-academic purposes like recreation and learning new skills. Faculty older than 50 years were 40% less likely to use AI tools compared to those aged 24 to 35 years (Adjusted Prevalence Ratio (aPR):0.60; 95% Confidence Interval (CI): [0.45, 0.80]).

Conclusion: The use of ChatGPT and other AI tools was high among medical faculty in Uganda. Older faculty (>50 years) were less likely to use AI tools compared to younger faculty. Training on AI use in education, formal policies, and guidelines are needed to adequately prepare medical faculty for the integration of AI in medical education.

乌干达医学院对ChatGPT和其他人工智能工具的利用:一项横断面研究。
背景:ChatGPT是一个大型语言模型,它使用深度学习技术来生成类似人类的文本。ChatGPT作为交互式虚拟导师和个性化学习助手,有可能彻底改变医学教育。我们评估了乌干达医学院使用ChatGPT和其他人工智能(AI)工具的情况。方法:我们于2023年11月至12月对乌干达四所公立大学的医学院进行了描述性横断面研究。参与者被连续招募。我们使用半结构化问卷来收集参与者的社会人口统计数据以及ChatGPT等人工智能工具的使用情况。我们的结果变量是ChatGPT和其他人工智能工具的使用。数据分析采用Stata 17.0版本。结果:纳入224名医学专业人员,男性占多数[75%(167/224)]。年龄中位数(四分位数间距)为41岁(34-50岁)。几乎所有的医学院[90%(202/224)]都听说过ChatGPT等人工智能工具。超过63%(120/224)的教师曾经使用过人工智能工具。最常用的人工智能工具是ChatGPT(56.3%)和Quill Bot(7.1%)。56名教师使用人工智能工具进行研究写作,37名用于总结信息,28名用于校对工作,28名用于设置考试或作业。40名教师将人工智能工具用于娱乐和学习新技能等非学术目的。与24至35岁的教师相比,50岁以上的教师使用人工智能工具的可能性低40%(调整患病率比(aPR):0.60;95%置信区间(CI):[0.45, 0.80]。结论:乌干达医学院校ChatGPT等人工智能工具的使用率较高。与年轻教师相比,年龄较大的教师(50岁左右)使用人工智能工具的可能性较小。需要就人工智能在教育中的应用进行培训,制定正式政策和指导方针,使医学院为将人工智能纳入医学教育做好充分准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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