Undergraduate Nursing Students' Perspective on Artificial Intelligence Integration in Advanced Nursing Research and Practice

Abstract

Artificial Intelligence (AI) is rapidly transforming healthcare systems, medical research, and educational practices. In nursing education, AI technologies are increasingly being integrated to support learning, research activities, and clinical decision-making. Understanding undergraduate nursing students’ perspectives on AI integration is essential for preparing future nurses to work effectively in technology-driven healthcare environments. This discussion paper explores undergraduate nursing students’ perceptions regarding the integration of AI in advanced nursing research and practice. The study discusses the perceived benefits of AI, including enhanced learning experiences, improved research efficiency, and support for clinical decision-making. It also examines challenges such as ethical concerns, data privacy issues, limited AI literacy, and the risk of overreliance on technology. The paper further highlights the implications of AI integration for nursing education and suggests that nursing curricula should incorporate AI literacy, digital competencies, and ethical training. The findings emphasise the importance of preparing undergraduate nursing students to effectively use AI technologies while maintaining the human-centred values of nursing practice. Integrating AI-related competencies into nursing education can contribute to improved research capabilities, enhanced clinical practice, and better patient outcomes.

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