Artificial intelligence in nursing education 1: strengths and weaknesses

Siobhán O'Connor; Emilia  Leonowicz; Bethany  Allen; Dominique  Denis-Lalonde

Artificial intelligence in nursing education 1: strengths and weaknesses

Siobhán O'Connor, Emilia Leonowicz, Bethany Allen, Dominique Denis-Lalonde

Digital Health & Applied Tech Assessment

Research output: Contribution to specialist publication › Article

Abstract

Artificial intelligence (AI) refers to the application of algorithms and computational models that enable machines to exhibit cognitive abilities – including learning, reasoning, pattern recognition and language processing – that are similar to those of humans. By analysing vast amounts of data (text, images, audio and video), sophisticated digital tools, such as ChatGPT, have surpassed previous forms of AI and are now being used by students and educators in universities worldwide. Nurse educators could use these tools to support student learning, engagement and assessment. However, there are some drawbacks of which nurse educators and students should be aware, so they understand how to use AI tools appropriately in professional practice. This, the first of two articles on AI in nursing education, discusses the strengths and weaknesses of generative AI and gives recommendations for its use.

Original language	English
Volume	119
No.	10
Specialist publication	Nursing Times
Publication status	Published - 11 Sept 2023

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https://www.nursingtimes.net/roles/nurse-educators/artificial-intelligence-in-nursing-education-1-strengths-and-weaknesses-11-09-2023/

Cite this

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Artificial intelligence in nursing education 1: strengths and weaknesses

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