Artificial Intelligence Readiness in Nursing Education
Artificial intelligence (AI) is transforming healthcare and nursing by improving decision-making, enhancing patient safety, and optimizing clinical workflows. Nursing students, as future healthcare professionals, must be equipped with the necessary skills and knowledge to apply AI in clinical practice. However, the readiness of nursing students to adopt and integrate AI in their future roles depends heavily on structured education and training. This study highlights the significance of AI-focused courses in shaping nursing students’ readiness for medical artificial intelligence and their ability to adapt to technological advancements in healthcare.
Significance of AI in Nursing Education
The rapid adoption of AI in healthcare necessitates curriculum integration at the undergraduate nursing level. Traditional nursing programs often emphasize clinical and humanistic aspects of care but may lack focus on technological literacy. By introducing dedicated AI courses, institutions can prepare students to work with AI-powered tools such as diagnostic algorithms, clinical decision support systems, and predictive models. This integration ensures that nursing graduates possess not only clinical expertise but also digital competency.
Research Aim and Objectives
The main objective of the research was to evaluate the effect of an artificial intelligence course on undergraduate nursing students’ readiness for medical AI. Specifically, the study examined whether structured AI education could enhance perceived readiness in cognition, ability, vision, and ethical understanding. This aim addresses a crucial gap in nursing education research, where limited evidence exists on the direct impact of AI-focused academic interventions.
Methodological Approach
A quasi-experimental design with one-group pre-test and post-test measures was adopted. The study was conducted at a Turkish health college between September and December 2024. A total of 137 second-year nursing students participated in a structured 14-week AI course, consisting of two-hour weekly sessions. The intervention emphasized theoretical knowledge and practical applications of AI in healthcare. The primary outcome measure was the students’ perceived readiness for medical AI, assessed across multiple sub-dimensions.
Key Findings
The results demonstrated a significant improvement in the overall readiness scores of nursing students after completing the AI course. Enhancements were observed in cognition, ability, and vision sub-dimensions, indicating improved knowledge and confidence in applying AI concepts. However, no statistically significant change was recorded in the ethical sub-dimension, suggesting that ethical awareness requires more targeted educational interventions. Despite the small effect sizes, the findings validate the effectiveness of structured AI courses in preparing nursing students for AI integration in healthcare.
Implications for Nursing Education
The study underscores the importance of embedding AI-related content into nursing curricula. While the course enhanced readiness in technical and conceptual areas, further emphasis on ethical and professional considerations is necessary. These findings suggest that nursing education programs should adopt a holistic approach, combining technical, clinical, and ethical aspects of AI. This will ensure that future nurses are not only technologically competent but also ethically responsible when utilizing AI in patient care.
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