给医学教育工作者的初级提示:人工智能聊天机器人的选择、提示工程和使用指南。

IF 1.9 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Medical Science Educator Pub Date : 2024-08-17 eCollection Date: 2024-12-01 DOI:10.1007/s40670-024-02146-1
Yavuz Selim Kıyak
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引用次数: 0

摘要

人工智能(AI)聊天机器人的集成,特别是大型语言模型(llm),在医学教育中具有巨大的潜力。本文提供了十个技巧,以帮助那些使用基于法学硕士的聊天机器人的经验有限的医学教育工作者来支持他们的教学和评估实践。这些技巧涵盖了一些关键领域,比如选择合适的模型、采用及时的工程技术,以及优化聊天机器人的输出以满足教育需求。通过遵循这些建议,医学教育工作者可以利用人工智能聊天机器人的功能来改善学生的学习体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beginner-Level Tips for Medical Educators: Guidance on Selection, Prompt Engineering, and the Use of Artificial Intelligence Chatbots.

The integration of artificial intelligence (AI) chatbots, especially large language models (LLMs), holds significant potential for medical education. This article provides ten tips to help medical educators who have limited experience using LLM-based chatbots to support their teaching and assessment practices. These tips cover critical areas such as selecting appropriate models, employing prompt engineering techniques, and optimizing chatbot outputs to meet educational needs. By following these tips, medical educators can leverage the capabilities of AI chatbots to improve the learning experience of students.

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来源期刊
Medical Science Educator
Medical Science Educator Social Sciences-Education
CiteScore
2.90
自引率
11.80%
发文量
202
期刊介绍: Medical Science Educator is the successor of the journal JIAMSE. It is the peer-reviewed publication of the International Association of Medical Science Educators (IAMSE). The Journal offers all who teach in healthcare the most current information to succeed in their task by publishing scholarly activities, opinions, and resources in medical science education. Published articles focus on teaching the sciences fundamental to modern medicine and health, and include basic science education, clinical teaching, and the use of modern education technologies. The Journal provides the readership a better understanding of teaching and learning techniques in order to advance medical science education.
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