Rapidly Rising Preference among New-entry Medical Students for Using Generative Artificial Intelligence in Reflective Reports.

IF 1.5 Q2 MEDICINE, GENERAL & INTERNAL
JMA journal Pub Date : 2025-04-28 Epub Date: 2025-03-28 DOI:10.31662/jmaj.2024-0390
Chihiro Kawakami, Osamu Nomura, Miyuki Takahashi, Ritsuki Takaha, Takayasu Ito, Hiroaki Ushikoshi, Takuya Saiki
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Abstract

Introduction: As artificial intelligence (AI) continues to proliferate, it becomes imperative that medical students are not only instructed in the use of AI but also afforded regular opportunities to interact with it throughout their medical education. In 2023 and 2024, an art-based reflective reports assignment was implemented among new-entry students of the medical program at a university in Japan. The assignment required students to use generative AI within their submissions. The objective of this study was to assess the perceptions of these students regarding the use of generative AI in their reflective reports over the course of two academic years.

Methods: First-year medical students were tasked with submitting an art-based reflective report about their experiences during the community-based inquiry learning session. The assignment was a component of their reflective competencies assessment. We conducted a survey of the 2023 and 2024 student cohorts and examined their perceptions of using generative AI using a five-point Likert scale. We compared the survey responses of the two cohorts using the t-test.

Results: The participants exhibited a notably higher mean score for positive perceptions toward generative AI in 2024 compared with 2023 (3.8 versus 2.9 points; p < 0.01). In addition, the proportion of participants who expressed a preference for using generative AI was significantly higher in 2024 than in 2023 (32.0% versus 17.4%; p = 0.02).

Conclusions: A substantial and rapid increase has been observed in the proportion of medical students indicating a preference for using generative AI. The joint adoption of generative AI by medical students and faculties signifies a significant and urgently required development in AI use within medical education.

新入学医学生在反思性报告中使用生成式人工智能的偏好迅速上升。
导读:随着人工智能(AI)的不断发展,医学生不仅要学习如何使用AI,而且要在整个医学教育过程中定期提供与AI互动的机会,这一点变得至关重要。在2023年和2024年,在日本一所大学医学专业的新生中实施了一项基于艺术的反思报告作业。作业要求学生在提交的作品中使用生成式人工智能。本研究的目的是评估这些学生在两个学年的反思性报告中对生成式人工智能的使用的看法。方法:一年级医学生被要求提交一份基于艺术的反思报告,描述他们在基于社区的研究性学习期间的经历。这项任务是他们反思能力评估的一个组成部分。我们对2023年和2024年的学生进行了一项调查,并使用五点李克特量表检查了他们对使用生成式人工智能的看法。我们用t检验比较了两个队列的调查结果。结果:与2023年相比,参与者在2024年对生成式人工智能的积极认知方面表现出明显更高的平均分(3.8分对2.9分;P < 0.01)。此外,2024年表示偏好使用生成式人工智能的参与者比例明显高于2023年(32.0%对17.4%;P = 0.02)。结论:医学生偏好使用生成式人工智能的比例大幅快速增长。医学生和院系共同采用生成式人工智能,标志着医学教育中人工智能应用的重大和迫切需要的发展。
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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