Integration of artificial intelligence in nursing education: a cross-national exploration

Understanding nurse educators' perceptions of Artificial Intelligence (AI) in education, particularly cross-nationally and considering cultural and exposure influences, remains limited. This study addressed this gap by determining the impact of AI integration in nursing education.

Participants included 1021 nurse educators from the Philippines, Saudi Arabia, India, and Egypt, with data collected between January and March 2025.

Perceived benefits of AI showed consistent means across countries, though significant differences (p < 0.001) were observed in perceived threats, exposure, and the influence of culture by country. Strong positive correlations emerged between exposure to AI and both trust in AI (r = 0.653) and perceived benefits (r = 0.625). Nationality significantly predicted perceived risks, exposure, and cultural impact (all p < 0.001), emphasizing the relevance of cultural background to AI applicability.

Nurse educators acknowledge AI's educational potential but show diverse perceptions regarding risks, exposure, and cultural impact. Increased AI exposure fosters trust and perceived benefits, highlighting the need for contextualized, culturally-attuned, and exposure-driven AI integration in nursing education.