• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

ChatGPT作为医学生的学习工具:一项随机对照试验的结果

ChatGPT as a Learning Tool for Medical Students: Results From a Randomized Controlled Trial.

作者信息

Kalam Kazi A, Masoud Fadi D, Muntaser Adam, Ranga Raghav, Geng Xue, Goyal Munish

机构信息

Department of Medicine, Georgetown University School of Medicine, Washington, DC, USA.

Department of Emergency Medicine, Wayne State University, Detroit, USA.

出版信息

Cureus. 2025 Jun 11;17(6):e85767. doi: 10.7759/cureus.85767. eCollection 2025 Jun.

DOI:10.7759/cureus.85767
PMID:40656250
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12248138/
Abstract

IMPORTANCE

As artificial intelligence (AI) tools like ChatGPT become increasingly widespread in medical education, it is essential to evaluate the effectiveness of AI tools in enhancing students' academic performance and retention compared to traditional educational resources such as lecture materials and textbooks.

OBJECTIVE

We aim to determine whether ChatGPT-4.0 improves medical students' short-term academic performance compared to internal institutional resources and publicly available online materials.

DESIGN

This study was a single-center, prospective, randomized controlled trial conducted over a two-week period in April 2025.

SETTING

The research took place at Georgetown University School of Medicine.

PARTICIPANTS

A total of 198 first-year medical students were invited to participate, with 33 students enrolling in the study. Participants (N = 33) were assigned to one of three groups: Group A (ChatGPT-4.0), Group B (external resources, including publicly available online materials such as Google, PubMed, and third-party educational websites, but excluding AI-assisted tools), and Group C (institutional resources such as electronic textbooks and lecture materials).

INTERVENTIONS

Individuals (N = 33) were randomly assigned to one of three groups: Group A (ChatGPT-4.0; N = 10, 30.3%), Group B (external resources; N = 12, 36.4%), and Group C (institutional resources; N = 11, 33.3%). Participants completed an initial multiple-choice quiz using their assigned resources, followed by a post-quiz survey. One week later, they retook the same quiz without access to any resources to assess retention. Primary outcome(s) and measure(s): The primary outcome was the initial quiz score. The secondary outcome was the retention score, evaluated through the second quiz without resources.

RESULTS

Initial quiz scores (Week 1) were significantly higher in Group A (N = 10, mean = 9.60 ± 0.52) and Group B (N = 12, mean = 9.08 ± 0.79) compared to Group C (N = 11, mean = 6.64 ± 1.57) (p < 0.001). However, retention scores one week later (Week 2) showed no significant differences among the groups: Group A (N = 10, mean = 6.20 ± 1.93), Group B (N = 12, mean = 5.58 ± 2.07), and Group C (N = 11, mean = 4.36 ± 2.01) (p = 0.118).

CONCLUSIONS AND RELEVANCE

ChatGPT-4.0 improves short-term academic performance but does not provide a short-term retention advantage over institutional or external online educational resources. These findings demonstrate the potential of AI tools to enhance short-term learning outcomes while emphasizing the need for further research to evaluate their long-term effectiveness in educational settings.

摘要

重要性

随着ChatGPT等人工智能(AI)工具在医学教育中越来越广泛地应用,与传统教育资源(如讲义材料和教科书)相比,评估AI工具在提高学生学业成绩和知识保留方面的有效性至关重要。

目的

我们旨在确定与内部机构资源和公开可用的在线材料相比,ChatGPT-4.0是否能提高医学生的短期学业成绩。

设计

本研究是一项单中心、前瞻性、随机对照试验,于2025年4月进行了为期两周的研究。

地点

研究在乔治敦大学医学院进行。

参与者

共邀请了198名一年级医学生参与,33名学生报名参加研究。参与者(N = 33)被分为三组之一:A组(ChatGPT-4.0)、B组(外部资源,包括谷歌、PubMed和第三方教育网站等公开可用的在线材料,但不包括AI辅助工具)和C组(机构资源,如电子教科书和讲义材料)。

干预措施

个体(N = 33)被随机分配到三组之一:A组(ChatGPT-4.0;N = 10,30.3%)、B组(外部资源;N = 12,36.4%)和C组(机构资源;N = 11,33.3%)。参与者使用分配的资源完成初始多项选择题测验,随后进行测验后调查。一周后,他们在没有任何资源的情况下重新进行相同的测验以评估知识保留情况。主要结局和指标:主要结局是初始测验分数。次要结局是保留分数,通过无资源的第二次测验进行评估。

结果

与C组(N = 11,均值 = 6.64 ±

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e0/12248138/13d671b2bdf9/cureus-0017-00000085767-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e0/12248138/d0ed13b21b92/cureus-0017-00000085767-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e0/12248138/13d671b2bdf9/cureus-0017-00000085767-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e0/12248138/d0ed13b21b92/cureus-0017-00000085767-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e0/12248138/13d671b2bdf9/cureus-0017-00000085767-i02.jpg

相似文献

1
ChatGPT as a Learning Tool for Medical Students: Results From a Randomized Controlled Trial.ChatGPT作为医学生的学习工具:一项随机对照试验的结果
Cureus. 2025 Jun 11;17(6):e85767. doi: 10.7759/cureus.85767. eCollection 2025 Jun.
2
Effectiveness of an online sexual and reproductive health educational program on knowledge, attitudes, and behaviours among senior primary school students: a cluster randomized controlled trial.一项在线性与生殖健康教育项目对小学生高年级学生知识、态度和行为的影响:一项整群随机对照试验
Reprod Health. 2025 Jul 3;22(1):123. doi: 10.1186/s12978-025-02071-5.
3
Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial.ChatGPT与互联网搜索用于职业医学临床研究和决策的比较:随机对照试验
JMIR Form Res. 2025 May 20;9:e63857. doi: 10.2196/63857.
4
Sexual Harassment and Prevention Training性骚扰与预防培训
5
The educational effects of portfolios on undergraduate student learning: a Best Evidence Medical Education (BEME) systematic review. BEME Guide No. 11.档案袋对本科学生学习的教育效果:最佳证据医学教育(BEME)系统评价。BEME指南第11号。
Med Teach. 2009 Apr;31(4):282-98. doi: 10.1080/01421590902889897.
6
Interventions for patients and caregivers to improve knowledge of sickle cell disease and recognition of its related complications.针对患者及护理人员的干预措施,以提高对镰状细胞病的认识及其相关并发症的识别能力。
Cochrane Database Syst Rev. 2016 Oct 6;10(10):CD011175. doi: 10.1002/14651858.CD011175.pub2.
7
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中,如果患者出现以下症状和体征,可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
8
Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial.探索ChatGPT作为牙科医学生技能教育指导者的应用能力:随机对照试验。
J Med Internet Res. 2025 May 27;27:e68538. doi: 10.2196/68538.
9
Learning together for mental health: feasibility of measures to assess a whole-school mental health and wellbeing intervention in secondary schools.共同学习促进心理健康:评估中学全校心理健康与幸福干预措施的可行性
Public Health Res (Southampt). 2025 Jun 25:1-18. doi: 10.3310/GFDT2323.
10
Measures implemented in the school setting to contain the COVID-19 pandemic.学校为控制 COVID-19 疫情而采取的措施。
Cochrane Database Syst Rev. 2022 Jan 17;1(1):CD015029. doi: 10.1002/14651858.CD015029.

本文引用的文献

1
Medical students and ChatGPT: analyzing attitudes, practices, and academic perceptions.医学生与ChatGPT:分析态度、实践及学术认知
BMC Med Educ. 2025 Feb 5;25(1):187. doi: 10.1186/s12909-025-06731-9.
2
Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial.将 ChatGPT 融入骨科医学本科生教育:随机对照试验。
J Med Internet Res. 2024 Aug 20;26:e57037. doi: 10.2196/57037.
3
Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students.拥抱 ChatGPT 助力医学教育:探索其对医生和医学生的影响。
JMIR Med Educ. 2024 Apr 10;10:e52483. doi: 10.2196/52483.
4
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment.ChatGPT在美国医师执照考试(USMLE)中的表现如何?大语言模型对医学教育和知识评估的影响。
JMIR Med Educ. 2023 Feb 8;9:e45312. doi: 10.2196/45312.
5
Sample size determination and power analysis using the G*Power software.使用 G*Power 软件进行样本量确定和功效分析。
J Educ Eval Health Prof. 2021;18:17. doi: 10.3352/jeehp.2021.18.17. Epub 2021 Jul 30.
6
Artificial intelligence in medical education.人工智能在医学教育中的应用。
Med Teach. 2019 Sep;41(9):976-980. doi: 10.1080/0142159X.2019.1595557. Epub 2019 Apr 21.
7
Flipped classroom improves student learning in health professions education: a meta-analysis.翻转课堂提高健康专业教育中学生的学习效果:一项荟萃分析。
BMC Med Educ. 2018 Mar 15;18(1):38. doi: 10.1186/s12909-018-1144-z.
8
Cognitive Load Theory: implications for medical education: AMEE Guide No. 86.认知负荷理论:对医学教育的启示:AMEE指南第86号
Med Teach. 2014 May;36(5):371-84. doi: 10.3109/0142159X.2014.889290. Epub 2014 Mar 4.
9
Randomisation to protect against selection bias in healthcare trials.随机化以防止医疗保健试验中的选择偏倚。
Cochrane Database Syst Rev. 2011 Apr 13;2011(4):MR000012. doi: 10.1002/14651858.MR000012.pub3.
10
Long-term retention of basic science knowledge: a review study.长期保持基础科学知识:综述研究。
Adv Health Sci Educ Theory Pract. 2010 Mar;15(1):109-128. doi: 10.1007/s10459-008-9101-y. Epub 2008 Feb 15.