Transforming challenges into opportunities: Leveraging ChatGPT's limitations for active learning and prompt engineering skill
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ABSTRACT
There has been growing interest in using large language models (LLMs), especially ChatGPT, in medical education because of new possibilities they offer. However, current versions of ChatGPT have limitations, including “hallucination” and a propensity to oversimplify complex medical subjects. Additionally, a challenge in maximizing ChatGPT’s potential is related to users’ “prompt engineering” skill. In this article, we suggest that ChatGPT's limitations are opportunities to engage medical students in critical and active learning and honing their prompt engineering skill to improve their ChatGPT-interacting proficiency. -
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REFERENCES
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Han Z., Battaglia F., and Terlecky S.R. (2024). Transforming challenges into opportunities: Leveraging ChatGPT's limitations for active learning and prompt engineering skill. The Innovation Medicine 2(2): 100065. https://doi.org/10.59717/j.xinn-med.2024.100065
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Han Z., Battaglia F., and Terlecky S.R. (2024). Transforming challenges into opportunities: Leveraging ChatGPT's limitations for active learning and prompt engineering skill. The Innovation Medicine 2(2): 100065. https://doi.org/10.59717/j.xinn-med.2024.100065
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Figure 1.
ChatGPT has certain inherent limitations when responding to questions from users. However, medical educators can leverage these limitations to develop activities to engage students in critical and active learning as well as developing their “prompt engineering” skills.
