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Emerging Artificial Intelligence-Based Pedagogies in Didactic Nursing Education: A Scoping Review
Michele Gerdes1, Andrew Bayne, Kristina Henry
1Author Affiliation: Saint Luke's College of Nursing and Health Sciences, Rockhurst University, Kansas, Missouri.
Artificial intelligence (AI) is emerging in nursing education, but more research is needed to understand its use in teaching. This review explores current AI pedagogies in didactic nursing settings.
Area of Science:
- Nursing Education
- Health Care Pedagogy
- Artificial Intelligence Applications
Background:
- Artificial intelligence (AI) pedagogies are becoming more common in health care education.
- There is a lack of guidance on implementing AI in didactic nursing environments.
Purpose of the Study:
- To review the current landscape of AI-based pedagogies within didactic nursing education.
Main Methods:
- A scoping review was performed using the Arksey and O'Malley framework and Joanna Briggs Institute's JBI-SUMARI.
- Literature searches were conducted in major databases (MEDLINE, CINAHL, ERIC, World Science, Google Scholar) from 2013 to 2024.
- Two independent reviewers assessed articles, adhering to PRISMA-ScR guidelines.
Main Results:
- The review identified 16 articles focusing on AI pedagogies in nursing education.
- Key themes included the use of generative AI and the integration of AI with other teaching strategies.
Conclusions:
- Further research is essential to comprehensively understand and evaluate AI-based pedagogies in didactic nursing education.
- Developing evidence-based guidelines for AI implementation in nursing curricula is recommended.
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