Perceptions, Ethical Challenges and Sustainable Integration of Generative AI in Health Science Education: A Cross-Sectional Study

Abstract

Generative artificial intelligence (AI) is changing higher education. Understanding students’ perceptions, usage behaviour and ethical concerns is crucial for the responsible and sustainable use of AI in the academic environment. The aim of this study was to explore the perceptions, experiences and challenges of health sciences students in relation to the use of generative AI in their academic learning. A descriptive cross-sectional survey was conducted with 397 students enrolled in four undergraduate health-related degree programmes in Slovenia, including nursing, physiotherapy, dietetics and applied kinesiology. The data was collected using a validated 27-point scale. Students were generally favourable towards AI, especially in terms of its perceived usefulness, integration into their daily study routine and ethical considerations. Regression analyses revealed that frequency of AI use, duration of use, self-reported skill level and confidence in using AI significantly predicted perceived usefulness. Gender differences were found, with male students reporting higher perceived usefulness and fewer concerns. Students recognised the potential of generative AI but emphasised the importance of ethical guidance, digital literacy and equal access. Institutions should prioritise structured training and inclusive strategies to ensure meaningful, sustainable and responsible integration of AI into health education.

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