Graduate nursing students' perspectives on artificial intelligence in education: A photovoice qualitative study

Artificial intelligence (AI) is becoming an integral part of nursing education; however, the perspectives of graduate nursing students on its use remain underexplored.

This study aimed to examine graduate nursing students' views on AI in nursing education.

A qualitative phenomenological design incorporating the photovoice method was adopted. Fifteen graduate nursing students from a state university were recruited between 01 March 2025 and 30 May 2025. Data were analyzed using thematic analysis in accordance with Braun and Clarke's approach.

Analysis yielded five main themes and 17 subthemes: (1) Areas of AI application in nursing education, (2) Perceived advantages of AI, (3) Perceived disadvantages of AI, (4) Recommendations for effective AI integration in nursing education, and (5) Future directions for AI in nursing education.

Participants viewed AI as a tool to enhance the quality and effectiveness of nursing education, while emphasizing the importance of ethical sensitivity and protection of professional identity. The use of photovoice method enriched and deepened these insights.