DOI: 10.12688/f1000research.184799.2 ISSN: 2046-1402

Artificial Intelligence Literacy and Educational Impact among Iraqi Nursing Students: A Cross-Sectional Survey

Haider Mohammed Majeed, Ali Hussein Alek Al-Ganmi, Ali Dhahir Abdulyemmah, Tahseen Rajab Mohammed, Ahmed F. Hassan, Hassan Raysan Al‑Waeli, Abdulellah M Alsolais
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Background and Objectives This study aimed to explore nursing students’ artificial intelligence literacy in terms of knowledge, attitudes, and practices and its impact on their educational input in Iraq. Methods A descriptive cross-sectional survey conducted across 100 nursing students from the College of Nursing, University of Baghdad, Iraq in 2025. The study utilized the Artificial Intelligence knowledge, attitudes, and practices scale. The Statistical Package for Social Sciences (SPSS), version 26 was used to examine the associations among the measured variables in the study. Results The majority of students (80.0%) had good knowledge level. More than half (59.0%) showed positive attitudes. Concerning practice, 34.0% often used AI, with 25.0% reporting most of the time/all the time, while 41.0% reported never/rarely. Age as a continuous variable showed a strong positive correlation with all KAP domains (p < 0.001). Academic year showed a highly significant association with all KAP scores (p < 0.01). Conclusion The study revealed that nursing students had a wavier level of artificial intelligence literacy of knowledge, attitude and practice and its application in nursing learning. Prioritize strategies should be applied in the nursing curricula to enhance students’ knowledge and translate positive attitudes into consistent practice, ultimately fostering effective integration of artificial intelligence in nursing education.

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