Navigating challenges and opportunities: Nursing student's views on generative AI in higher education

Abstract

Aim

This qualitative study aims to explore the perspectives of nursing students regarding the application and integration of generative Artificial Intelligence (AI) tools in their studies.

Background

With the increasing prevalence of generative AI tools in academic settings, there is a growing interest in their use among students for learning and assessments.

Design

Employing a qualitative descriptive design, this study used semi-structured interviews with nursing students to capture the nuanced insights of the participants.

Methods

Semi-structured interviews were digitally recorded and then transcribed verbatim. The research team reviewed all the data independently and then convened to discuss and reach a consensus on the identified themes.

Results

This study was conducted within the discipline of nursing at a regional Australian university. Thirteen nursing students, from both first and second year of the programme, were interviewed as part of this study. Six distinct themes emerged from the data analysis, including the educational impact of AI tools, equitable learning environment, ethical considerations of AI use, technology integration, safe and practical utility and generational differences.

Conclusions

This initial exploration sheds light on the diverse perspectives of nursing students concerning the incorporation of generative AI tools in their education. It underscores the potential for both positive contributions and challenges associated with the integration of generative AI in nursing education and practice.