Artificial Intelligence considerations in nursing curricula: Embracing with care, its potential in transforming learning

William Evans , Nick Baker , Tom Farrelly

Journal of Nursing Education and Practice ›› 2025, Vol. 15 ›› Issue (7) : 37 -52.

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Journal of Nursing Education and Practice ›› 2025, Vol. 15 ›› Issue (7) : 37 -52. DOI: 10.63564/jnep.v15n7p37
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Artificial Intelligence considerations in nursing curricula: Embracing with care, its potential in transforming learning

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Abstract

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.

Keywords

Artificial intelligence / Constraints led approach / Curriculum / Nursing education

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William Evans, Nick Baker, Tom Farrelly. Artificial Intelligence considerations in nursing curricula: Embracing with care, its potential in transforming learning. Journal of Nursing Education and Practice, 2025, 15(7): 37-52 DOI:10.63564/jnep.v15n7p37

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