Prompt Engineering in Medical Education
Проектирование промптов в медицинском образовании
2023-08-31
SCID: 54.1/sdzbmur9
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ChatGPTgenerative language modelsmedical educationpersonalized learningprompt engineering
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Abstract (AI)
Artificial intelligence-powered generative language models (GLMs), such as ChatGPT, Perplexity AI, and Google Bard, have the potential to provide personalized learning, unlimited practice opportunities, and interactive engagement 24/7, with immediate feedback. However, to fully utilize GLMs, properly formulated instructions are essential. Prompt engineering is a systematic approach to effectively communicating with GLMs to achieve the desired results. Well-crafted prompts yield good responses from the GLM, while poorly constructed prompts will lead to unsatisfactory responses. Besides the challenges of prompt engineering, significant concerns are associated with using GLMs in medical education, including ensuring accuracy, mitigating bias, maintaining privacy, and avoiding excessive reliance on technology. Future directions involve developing more sophisticated prompt engineering techniques, integrating GLMs with other technologies, creating personalized learning pathways, and researching the effectiveness of GLMs in medical education.
Key Findings
1
Future priorities include advanced prompting techniques, technology integration, personalized learning pathways, and evaluating educational effectiveness.
2
Generative language models can support personalized learning, unlimited practice, continuous interactive engagement, and immediate feedback in medical education.
3
Prompt engineering systematically improves communication with generative language models and is essential for obtaining desired educational responses.
4
Using generative language models in medical education raises concerns about accuracy, bias, privacy, and excessive dependence on technology.
5
Well-constructed prompts produce more satisfactory model outputs, whereas poorly formulated prompts can generate unsatisfactory responses.
Research Object
Generative language models (GLMs) used in medical education (e.g., ChatGPT, Perplexity AI, Google Bard)
Research Subject
prompt engineering for effective, accurate, unbiased, privacy-preserving, and non-overdependent use of generative language models
Publication Details
Publication Date
2023-08-31
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