Empowering Nursing Students During the AI Era: Educational Strategies for Enhancing Knowledge and Acceptance of Artificial Intelligencets
Published in Healthcare & Nursing and Computational Sciences
Artificial intelligence is rapidly transforming healthcare systems worldwide and reshaping the future of nursing education and clinical practice. Despite the increasing integration of AI technologies into healthcare environments, many undergraduate nursing students continue to report limited AI literacy, uncertainty regarding ethical AI use, and insufficient preparation for AI-supported clinical practice.
In our recently published study in BMC Nursing, we evaluated the effectiveness of a standardized 10-session blended educational program designed to improve nursing students’ knowledge, readiness, and acceptance of artificial intelligence. The study involved 1,000 undergraduate nursing students from Sohag University, Egypt, using a one-group pretest–posttest quasi-experimental design.
The educational intervention incorporated micro-lectures, case-based learning, guided ethical reflection, and hands-on demonstrations to strengthen students’ understanding of AI concepts and applications in healthcare. The findings demonstrated substantial improvements in AI knowledge, perceived usefulness, perceived ease of use, and overall acceptance of artificial intelligence in nursing education and healthcare practice.
Our study highlights the importance of integrating structured AI education into undergraduate nursing curricula to prepare future nurses for technologically advanced healthcare systems. It also emphasizes the value of evidence-based educational strategies, interdisciplinary collaboration, and ethical AI awareness in promoting safe, responsible, and accountable AI adoption in nursing practice.
As healthcare continues to evolve through digital transformation, empowering nursing students with AI literacy, critical thinking, and technological readiness has become essential for supporting innovation, patient safety, and high-quality person-centered care.
Dr. Basma W. Elrefay, PhD, RN, is a Lecturer of Obstetrics and Gynecology Health Nursing at the Faculty of Nursing, Delta University for Science and Technology, Egypt, and Director of the Continuous Professional Training Unit. Her academic and clinical expertise focuses on maternal and women’s health, nursing education, healthcare quality, and evidence-based practice.
Dr. Elrefay serves as an Editorial Board Member and peer reviewer for several international peer-reviewed journals, including the American Journal of Nursing Science. She is also a Book Editor with IGI Global Scientific Publishing, contributing to scholarly work in maternal healthcare and emerging healthcare technologies.
Her research interests include maternal and reproductive health, nursing education, healthcare innovation, and the integration of artificial intelligence in healthcare systems. She has authored and reviewed several indexed scientific publications and is committed to advancing excellence in nursing research, education, and clinical practice.
• PhD in Obstetrics and Gynecological Health Nursing, Mansoura University, Egypt.
• Director of the Continuous Professional Training Unit, Faculty of Nursing, Delta University for Science and Technology.
• International Professional Trainer in Nursing Sciences and Infection Control.
• Editorial Board Member and peer reviewer for international peer-reviewed journals.
• Book Editor with IGI Global Scientific Publishing.
• Research interests: maternal and reproductive health, nursing education, healthcare quality, artificial intelligence in healthcare, and evidence-based nursing practice.
• Author and co-author of indexed publications in maternal health, nursing education, and AI integration in healthcare systems.
• Certified in healthcare management, total quality management, and professional nursing training.
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