Artificial intelligence adoption in nursing students' academic writing : A qualitative study

Jandy Perra, Jembu and Rekaya, Vincent Balang (2025) Artificial intelligence adoption in nursing students' academic writing : A qualitative study. Teaching and Learning in Nursing, 20 (3). pp. 1-9. ISSN 1557-3087

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Abstract

Background There has been an increase in the use of AI-based tools, such as Grammarly and ChatGPT, in academic writing, offering potential benefits and challenges to students across various fields. Aim This study aimed to explore how nursing students perceive the use of AI tools in their academic writing and identify the factors influencing their adoption. Methods A descriptive qualitative research design was employed. Eleven nursing students (9 from public and 2 from private universities) across Malaysia participated through snowball and purposive sampling. Semi-structured interviews were conducted, and data were analyzed using Braun and Clarke’s thematic analysis with NVivo 14. Results Four themes emerged: perceived strengths of AI adoption (increased productivity and improved writing quality); perceived flaws (concerns over data accuracy and plagiarism); influential factors (peer and family support); and systemic barriers (lack of formal training and financial constraints). Conclusions AI tools provide academic advantages, but ethical concerns and resource limitations must be addressed. Theoretically, this study informs AI adoption in higher education. Practically, it offers insights to guide institutional support and integration. Keywords AI-based tools, Academic writing, Artificial intelligence (AI)Nursing education, Perceptions, Undergraduate nursing students, Thematic analysis

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