在尼日利亚医学教育领域探索人工智能:对来自10所大学的学生和讲师的看法、风险和利益的在线横断面研究。

IF 0.8 Q3 MEDICINE, GENERAL & INTERNAL Nigerian Postgraduate Medical Journal Pub Date : 2023-10-01 DOI:10.4103/npmj.npmj_186_23
Kehinde Sunday Oluwadiya, Adekunle Olatayo Adeoti, Sulaiman Olayide Agodirin, Timothy Eyo Nottidge, Mustapha Ibrahim Usman, Mtaku Bata Gali, Ndubuisi Onu Onyemaechi, Ali Mohammed Ramat, Adejare Adedire, Lawal Ya'u Zakari
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引用次数: 0

摘要

背景:人工智能(AI)的影响被比作互联网和印刷,在一个不确定的世界中唤起了忧虑和期待。目的:本研究旨在探讨尼日利亚十所大学医学生和教师对人工智能的看法。方法:利用Google Forms和WhatsApp对代表尼日利亚所有6个地缘政治区域的10所医学院的临床医科学生及其讲师进行横断面在线调查。结果:本次调查共收到1003份反馈,其中学生反馈708份(70.7%),教师反馈294份(29.3%)。两组学生都表现出平均水平的知识,学生(中位数:4,范围从-5到12)的表现明显优于讲师(中位数:3,范围从-5到15)。社交媒体(61.2%)是第一次接触人工智能的最常见形式。参与者对人工智能表现出积极的态度,平均得分为6.8分(满分为10分)。语法检查器(62.3%)是最常使用的人工智能工具,而ChatGPT(43.6%)是最常提到的专用人工智能工具。在过去,学生比讲师更有可能使用人工智能工具,但结论:在我们的研究中,讲师和学生对人工智能的同时着迷和忧虑反映了全球趋势。这一发现在学生中尤为明显,尽管与讲师相比,学生对人工智能的了解更多,但他们对人工智能的恐惧并没有相应减少。
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Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities.

Background: The impact of artificial intelligence (AI) has been compared to that of the Internet and printing, evoking both apprehension and anticipation in an uncertain world.

Objective: This study aimed to explore the perceptions of medical students and faculty members from ten universities across Nigeria regarding AI.

Methods: Using Google Forms and WhatsApp, a cross-sectional online survey was administered to clinical year medical students and their lecturers from ten medical schools representing all the six geopolitical zones of Nigeria.

Results: The survey received 1003 responses, of which 708 (70.7%) were from students and 294 (29.3%) were from lecturers. Both groups displayed an average level of knowledge, with students (Median:4, range -5 to 12) significantly outperforming lecturers (Median:3, range -5 to 15). Social media (61.2%) was the most common form of first contact with AI. Participants demonstrated a favourable attitude towards AI, with a median score of 6.8 out of 10. Grammar checkers (62.3%) were the most commonly reported AI tool used, while ChatGPT (43.6%) was the most frequently mentioned dedicated AI tool. Students were significantly more likely than lecturers to have used AI tools in the past but <5% of both groups had received prior AI training. Excitement about the potential of AI slightly outweighed concerns regarding future risks. A significantly higher proportion of students compared to lecturers believed that AI could dehumanise health care (70.6% vs. 60.8%), render physicians redundant (57.6% vs. 34.7%), diminish physicians' skills (79.3% vs. 71.3%) and ultimately harm patients (28.6% vs. 20.6%).

Conclusion: The simultaneous fascination and apprehension with AI observed among both lecturers and students in our study mirrors the global trend. This finding was particularly evident in students who, despite possessing greater knowledge of AI compared to their lecturers, did not exhibit a corresponding reduction in their fear of AI.

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来源期刊
Nigerian Postgraduate Medical Journal
Nigerian Postgraduate Medical Journal MEDICINE, GENERAL & INTERNAL-
CiteScore
1.90
自引率
0.00%
发文量
52
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