Six-step approach for developing customized GPT in medical education

What is it about?

Incorporating generative AI into medical education is important nowadays. This study employs a six-step approach to establish guidelines for creating customized GPT models in this field. Following structured steps, we developed customized GPT models using ChatGPT Plus, ensuring these tools effectively meet specific educational and research needs. The research introduced a six-step approach for developing customized Generative Pre-trained Transformer (GPT) models that enhance constructivist learning by enabling students to engage actively with content through inquiry and immediate feedback, thus deepening their understanding and skills. Some GPTs were tailored to support faculty members in developing their courses, effectively managing student assessment, and enhancing the quality and accreditation process. In addition, two of these GPTs were specifically tailored for supporting researchers in developing and revising their research. A total number of fifteen customized GPT models were developed for these purposes and are currently in the pilot phase, with ongoing evaluation studies to assess their effectiveness. Developing these customized ChatGPT models marks a significant advancement in technology for medical education, promising substantial enhancements in teaching, learning, assessment, and research. These AI-driven tools, structured by a comprehensive six-step method, aim to improve educational outcomes, provide personalized learning experiences, and enhance scientific research and the quality and accreditation processes. Nevertheless, they also present technical, pedagogical, and ethical challenges that require careful management‎.

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Photo by Andrew Neel on Unsplash

Photo by Andrew Neel on Unsplash

Why is it important?

Incorporating generative AI into medical education is important nowadays. This study employs a six-step approach to establish guidelines for creating customized GPT models in this field. Following structured steps, we developed customized GPT models using ChatGPT Plus, ensuring these tools effectively meet specific educational and research needs. The research introduced a six-step approach for developing customized Generative Pre-trained Transformer (GPT) models that enhance constructivist learning by enabling students to engage actively with content through inquiry and immediate feedback, thus deepening their understanding and skills. Some GPTs were tailored to support faculty members in developing their courses, effectively managing student assessment, and enhancing the quality and accreditation process. In addition, two of these GPTs were specifically tailored for supporting researchers in developing and revising their research. A total number of fifteen customized GPT models were developed for these purposes and are currently in the pilot phase, with ongoing evaluation studies to assess their effectiveness. Developing these customized ChatGPT models marks a significant advancement in technology for medical education, promising substantial enhancements in teaching, learning, assessment, and research. These AI-driven tools, structured by a comprehensive six-step method, aim to improve educational outcomes, provide personalized learning experiences, and enhance scientific research and the quality and accreditation processes. Nevertheless, they also present technical, pedagogical, and ethical challenges that require careful management‎.

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