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More intelligent faculty development: Integrating GenAI in curriculum development programs.

Nehal Khamis1,2,3, Belinda Chen1,3, Caroline Egan4

  • 1Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA.

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Summary
This summary is machine-generated.

Generative Artificial Intelligence (GenAI) can enhance faculty development in curriculum development. Structured exercises integrating GenAI promote efficiency and creativity while addressing ethical concerns for responsible adoption in education.

Keywords:
Generative artificial intelligencecurriculum developmentfaculty development

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Education

Background:

  • Generative Artificial Intelligence (GenAI) presents transformative potential for education.
  • Faculty development (FD) programs, especially in curriculum development (CD), can leverage GenAI.
  • Responsible integration is crucial due to concerns regarding accuracy, bias, and ethics.

Purpose of the Study:

  • To integrate GenAI into existing faculty development programs for curriculum development.
  • To develop structured exercises for critical engagement with GenAI in CD.

Main Methods:

  • GenAI was incorporated into five CD programs at Johns Hopkins University (2023-2024).
  • Structured, customizable prompts aligned with the Six-Step Approach for Curriculum Development were utilized.
  • Learners were encouraged to critically evaluate GenAI outputs during exercises and assignments.

Main Results:

  • Structured exercises fostered experimentation, critical evaluation, and innovation.
  • Participants reported enhanced efficiency and creativity in their work.
  • Key enablers included role modeling, balanced communication on GenAI capabilities/limitations, and teamwork.

Conclusions:

  • GenAI can be integrated into existing FD programs without increasing time or reducing rigor.
  • This pilot demonstrates a model for responsible and scalable GenAI adoption in diverse educational settings.
  • Sharing findings aims to democratize FD and promote global GenAI integration.