人工智能聊天机器人和大型语言模型在牙科教育中的应用:全球教育工作者调查

IF 1.7 4区 教育学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE European Journal of Dental Education Pub Date : 2024-04-08 DOI:10.1111/eje.13009
Sergio E. Uribe, Ilze Maldupa, Argyro Kavadella, Maha El Tantawi, Akhilanand Chaurasia, Margherita Fontana, Rodrigo Marino, Nicola Innes, Falk Schwendicke
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引用次数: 0

摘要

引言人们对人工智能(AI)聊天机器人和大型语言模型(如OpenAI的ChatGPT和谷歌的Gemini)的潜力越来越感兴趣,尤其是在口腔医学教育中。材料与方法2023年5月至6月,我们使用31个项目的在线问卷进行了一次全球横断面调查,以评估牙科教育工作者对人工智能聊天机器人(如ChatGPT)及其对牙科教育的影响的看法。结果428名牙科教育工作者(调查意见=1516;回复率=28%)参与了调查,他们的年龄中位数[25/75百分位数]为45 [37,56],工作经验为16 [8,25]年,大部分来自美洲(54%),其次是欧洲(26%)和亚洲(10%)。31%的受访者已经在使用人工智能工具,64%的受访者认识到人工智能在口腔医学教育中的潜力。不同地区对人工智能对口腔医学教育潜在影响的看法各不相同,非洲(4[4-5])、亚洲(4[4-5])和美洲(4[3-5])比欧洲(3[3-4])认为人工智能更有潜力。教育者表示,人工智能聊天机器人可以促进知识获取(74.3%)、研究(68.5%)和临床决策(63.6%),但对人工智能减少人际互动的潜力表示担忧(53.9%)。牙科教育者的主要担忧集中在缺乏使用人工智能聊天机器人的明确指导和培训上。结论:对于将人工智能聊天机器人整合到牙科课程中,人们普遍持积极但谨慎的态度,这强调了明确实施指导的必要性。
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Artificial intelligence chatbots and large language models in dental education: Worldwide survey of educators

Introduction

Interest is growing in the potential of artificial intelligence (AI) chatbots and large language models like OpenAI's ChatGPT and Google's Gemini, particularly in dental education. To explore dental educators‘ perceptions of AI chatbots and large language models, specifically their potential benefits and challenges for dental education.

Materials and Methods

A global cross-sectional survey was conducted in May–June 2023 using a 31-item online-questionnaire to assess dental educators' perceptions of AI chatbots like ChatGPT and their influence on dental education. Dental educators, representing diverse backgrounds, were asked about their use of AI, its perceived impact, barriers to using chatbots, and the future role of AI in this field.

Results

428 dental educators (survey views = 1516; response rate = 28%) with a median [25/75th percentiles] age of 45 [37, 56] and 16 [8, 25] years of experience participated, with the majority from the Americas (54%), followed by Europe (26%) and Asia (10%). Thirty-one percent of respondents already use AI tools, with 64% recognising their potential in dental education. Perception of AI's potential impact on dental education varied by region, with Africa (4[4–5]), Asia (4[4–5]), and the Americas (4[3–5]) perceiving more potential than Europe (3[3–4]). Educators stated that AI chatbots could enhance knowledge acquisition (74.3%), research (68.5%), and clinical decision-making (63.6%) but expressed concern about AI's potential to reduce human interaction (53.9%). Dental educators' chief concerns centred around the absence of clear guidelines and training for using AI chatbots.

Conclusion

A positive yet cautious view towards AI chatbot integration in dental curricula is prevalent, underscoring the need for clear implementation guidelines.

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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
127
审稿时长
6-12 weeks
期刊介绍: The aim of the European Journal of Dental Education is to publish original topical and review articles of the highest quality in the field of Dental Education. The Journal seeks to disseminate widely the latest information on curriculum development teaching methodologies assessment techniques and quality assurance in the fields of dental undergraduate and postgraduate education and dental auxiliary personnel training. The scope includes the dental educational aspects of the basic medical sciences the behavioural sciences the interface with medical education information technology and distance learning and educational audit. Papers embodying the results of high-quality educational research of relevance to dentistry are particularly encouraged as are evidence-based reports of novel and established educational programmes and their outcomes.
期刊最新文献
The Graduating European Dentist Curriculum Framework: A 7-Year Review. Beyond the Drill: Understanding Empathy Among Undergraduate Dental Students. Future-Proofing Dentistry: A Qualitative Exploration of COVID-19 Responses in UK Dental Schools. Mapping the Landscape of Generative Language Models in Dental Education: A Comparison Between ChatGPT and Google Bard. Performance of a Generative Pre-Trained Transformer in Generating Scientific Abstracts in Dentistry: A Comparative Observational Study.
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