Use of generative AI in higher education: A scoping review

What is it about?

Generative artificial intelligence technology is rapidly evolving in healthcare and it’s use in nursing higher education is developing. However, concerns regarding its adoption in higher education relate to academic integrity and ethical considerations, including privacy, confidentiality, bias and critical thinking development. Generative artificial intelligence tools present new pedagogy possibilities in nursing higher education; however, the scope and impact of its adoption is unclear. This scoping review aimed to systematically map existing research on nurse academics incorporation of generative artificial intelligence when developing teaching and learning resources in higher education and to identify knowledge gaps and future research.

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Photo by ilgmyzin on Unsplash

Photo by ilgmyzin on Unsplash

Why is it important?

The evidence shows that GenAI is being used to support student learning, enhance academic time management and role-model academic integrity. The evidence suggests that GenAI technologies may be effective in enabling nursing students to practice clinical reasoning, receive feedback and facilitate confidence building in the safety of the classroom. However, limitations such as insufficient digital literacy skills in academic educators and students, ethical framework concerns and academic integrity uneasiness impede technology capabilities and GenAI implementation.

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