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Artificial Intelligence and Competency-Based Education: A Rapid Scoping Review.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance competency-based education (CBE) in midwifery, but faculty need AI competencies for ethical integration. Judicious use and institutional support are key for optimizing student learning and development.

Keywords:
artificial intelligence (AI)competencycompetency‐based education (CBE)midwifery

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Education
  • Nursing and Midwifery Education

Background:

  • Artificial intelligence (AI) offers significant potential to improve student learning, assessment, and faculty support within educational settings.
  • Midwifery education's competency-based learning (CBE) framework can be either enhanced or hindered by AI integration.

Purpose of the Study:

  • To explore the application of AI in facilitating competency-based education (CBE) for midwifery faculty and students.
  • To identify key themes related to AI competencies, academic investment, and instructional design in midwifery education.

Main Methods:

  • A rapid scoping review was conducted, guided by three research questions.
  • Systematic database searches in MEDLINE and Web of Science were performed in December 2024.
  • Thirty-nine articles published between 2021 and 2024 were synthesized to identify themes and subthemes.

Main Results:

  • Key themes identified include the necessity of AI competencies for faculty and students, encompassing ethical use and awareness of concerns.
  • Implications for academic investment in AI, including development, research, and cost considerations, were highlighted.
  • Competency-based instructional design for AI integration focused on optimizing student learning, adapting pedagogy, and specific teaching-learning applications.

Conclusions:

  • Developing faculty AI competencies is crucial for ethical integration and requires modified pedagogies to enhance student learning and competency development.
  • Awareness of AI challenges is vital for its judicious application, necessitating institutional support for faculty development and privacy protection.
  • Midwives must actively contribute discipline-specific knowledge to AI and lead research on AI's effectiveness in midwifery CBE.