Presentation From Prompts to Performance: Investigating AI Use Motives and Writing Behaviors in Nursing Education more

This study explored nursing students’ motivation and behavioral patterns in a GenAI-mediated English copywriting task focused on medical innovation. Participants were 43 second-year nursing majors in a required ESP course at a private Taiwanese polytech university. The core task required students to identify a clinical nursing challenge and "invent" a conceptual medical product, followed by creating a promotional campaign. Using AI as a collaborative partner, students applied the AIDA framework (Attention, Interest, Desire, Action) to structure their persuasive copywriting. Quantitative results indicated high intrinsic and utility value toward AI-supported learning. Notably, higher frequencies of AI prompt iterations were positively associated with stronger self-regulation and organization scores on the MSLQ. Qualitative data revealed that high-performing students utilized iterative prompting to balance technical clinical specifications with empathetic marketing language. While AI improved fluency and reduced writing anxiety, participants noted challenges in maintaining a unique "human" voice. This process—navigating between complex clinical logic and persuasive communication—served as a primary indicator of developing digital literacy. Overall, the findings suggest that AI-assisted innovation tasks can significantly enhance motivation, provided that explicit instruction in prompt design and the AIDA framework is integrated into the curriculum.