Artificial intelligence, ChatGPT, and dental education: Implications for reflective assignments and qualitative research.

IF 1.4 4区 医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Mario Brondani, Claudia Alves, Cecilia Ribeiro, Mariana M Braga, Renata C Mathes Garcia, Thiago Ardenghi, Komkham Pattanaporn
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Abstract

Introduction: Reflections enable students to gain additional value from a given experience. The use of Chat Generative Pre-training Transformer (ChatGPT, OpenAI Incorporated) has gained momentum, but its impact on dental education is understudied.

Objectives: To assess whether or not university instructors can differentiate reflections generated by ChatGPT from those generated by students, and to assess whether or not the content of a thematic analysis generated by ChatGPT differs from that generated by qualitative researchers on the same reflections.

Methods: Hardcopies of 20 reflections (10 generated by undergraduate dental students and 10 generated by ChatGPT) were distributed to three instructors who had at least 5 years of teaching experience. Instructors were asked to assign either 'ChatGPT' or 'student' to each reflection. Ten of these reflections (five generated by undergraduate dental students and five generated by ChatGPT) were randomly selected and distributed to two qualitative researchers who were asked to perform a brief thematic analysis with codes and themes. The same ten reflections were also thematically analyzed by ChatGPT.

Results: The three instructors correctly determined whether the reflections were student or ChatGPT generated 85% of the time. Most disagreements (40%) happened with the reflections generated by ChatGPT, as the instructors thought to be generated by students. The thematic analyses did not differ substantially when comparing the codes and themes produced by the two researchers with those generated by ChatGPT.

Conclusions: Instructors could differentiate between reflections generated by ChatGPT or by students most of the time. The overall content of a thematic analysis generated by the artificial intelligence program ChatGPT did not differ from that generated by qualitative researchers. Overall, the promising applications of ChatGPT will likely generate a paradigm shift in (dental) health education, research, and practice.

人工智能、ChatGPT 和牙科教育:反思性作业和定性研究的意义。
介绍:反思能让学生从特定的经历中获得额外的价值。Chat Generative Pre-training Transformer(ChatGPT,OpenAI Incorporated)的使用势头良好,但其对口腔医学教育的影响还未得到充分研究:评估大学讲师能否区分由 ChatGPT 生成的反思和由学生生成的反思,并评估由 ChatGPT 生成的主题分析内容与定性研究人员对相同反思生成的主题分析内容是否存在差异。方法:将 20 份反思(10 份由口腔医学本科生生成,10 份由 ChatGPT 生成)的硬拷贝分发给三名至少有 5 年教学经验的讲师。教师们被要求为每份反思指定 "ChatGPT "或 "学生"。随机抽取其中的十篇反思(五篇由口腔医学本科生撰写,五篇由 ChatGPT 撰写)分发给两位定性研究人员,要求他们对这些反思进行简要的主题分析,并给出代码和主题。ChatGPT 也对同样的十篇反思进行了主题分析:85% 的情况下,三位导师都能正确判断反思是由学生还是 ChatGPT 生成的。大多数分歧(40%)发生在由 ChatGPT 生成的反思上,因为指导教师认为这些反思是由学生生成的。在比较两位研究人员的代码和主题与 ChatGPT 生成的代码和主题时,主题分析并无实质性差异:在大多数情况下,教师可以区分是由 ChatGPT 生成的反思还是由学生生成的反思。人工智能程序 ChatGPT 生成的主题分析的总体内容与定性研究人员生成的主题分析内容没有差异。总之,ChatGPT的应用前景广阔,很可能会引发(牙科)健康教育、研究和实践的范式转变。
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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来源期刊
Journal of Dental Education
Journal of Dental Education 医学-牙科与口腔外科
CiteScore
3.50
自引率
21.70%
发文量
274
审稿时长
3-8 weeks
期刊介绍: The Journal of Dental Education (JDE) is a peer-reviewed monthly journal that publishes a wide variety of educational and scientific research in dental, allied dental and advanced dental education. Published continuously by the American Dental Education Association since 1936 and internationally recognized as the premier journal for academic dentistry, the JDE publishes articles on such topics as curriculum reform, education research methods, innovative educational and assessment methodologies, faculty development, community-based dental education, student recruitment and admissions, professional and educational ethics, dental education around the world and systematic reviews of educational interest. The JDE is one of the top scholarly journals publishing the most important work in oral health education today; it celebrated its 80th anniversary in 2016.
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