Artificial Intelligence considerations in nursing curricula: Embracing with care, its potential in transforming learning
Artificial Intelligence (AI) has very quickly become a part of our daily lives, and nursing is no exception. Different types of AI are already becoming standard tools in nursing practice as healthcare comes to rely more on these powerful technologies to augment human capabilities. Nursing regulators and educators are realising that nurses will need new skills and competencies to use these tools safely, ethically, and responsibly in their practice. This paper explores important considerations that nursing educators must reflect on in the usage of AI and in particular, the unique conditions that they are expected to operate within. The paper will firstly introduce the current and emerging policy context of how AI is being constructed within healthcare and in particular what is emanating from a nursing education context. Secondly, the paper presents some overarching considerations that have emerged for nursing education following the rapid embedding of AI within nursing and wider healthcare delivery. Finally, we introduce a promising curricular framework, 'Constraints Led Approach' (CLA), the theoretical and applied foundations of which are in sport and skill acquisition, but which shows potential for structuring the inclusion of AI in nurse education.
Authors
- Tom Farrelly (ORCID: https://orcid.org/0000-0002-1986-4154)
- William J. Evans (ORCID: https://orcid.org/0000-0002-0651-418X)
- Nick Baker
Publication Details
- Journal
- Journal of Nursing Education and Practice
- Published
- 2025-06-27
- DOI
- https://doi.org/10.63564/jnep.v15n7p37
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Windsor
- European Commission
- Munster Technological University