Embracing AI in academia: A mixed methods study of nursing students’ and educators’ perspectives on using ChatGPT

Ebtsam Aly Abou Hashish, Sharifah Abdulmuttalib Alsayed and Noura Mohamed Fadl Abdel Razek

PLOS ONE, 2025, vol. 20, issue 7, 1-27

Abstract: Background: The integration of artificial intelligence (AI) tools such as ChatGPT is reshaping academic practice, particularly in nursing education. Understanding how nursing students and educators perceive and interact with ChatGPT is essential for its responsible and effective use in both academic and clinical contexts. This study aimed to explore knowledge, perceptions, attitudes, and concerns related to ChatGPT among nursing students and educators and to identify potential factors associated with its use in academia. Methods: A convergent parallel mixed-methods design was conducted at a Saudi nursing college. Quantitative data were collected from a convenience sample of 240 students and 40 nurse educators using validated self-reported questionnaires. Data were analyzed using descriptive statistics, ANOVA, Pearson’s correlation, and regression analysis. Qualitative data were gathered through semi-structured interviews with 20 students and 15 educators and analyzed thematically. Results: Participants demonstrated moderate knowledge and generally positive attitudes and perceptions toward ChatGPT. Educators expressed stronger ethical concerns, particularly regarding plagiarism, over-reliance, and data accuracy. Regression analysis demonstrated that knowledge significantly predicted perceptions and attitudes, with strong predictive power (p

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0327981

DOI: 10.1371/journal.pone.0327981

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