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Are Artificial Intelligence and Robot Nurses a Threat to Student Nurses?: A Quasi-Experimental Study
Eda Ergin1, Narin Yildiz2, İrem İncekara3
1Department of Fundamentals of Nursing, Izmir Bakırçay University Faculty of Health Science, İzmir, Turkey.
Journal of Evaluation in Clinical Practice
|August 2, 2026
Summary
Nursing students showed increased knowledge and anxiety regarding artificial intelligence (AI) and robot nurses after training. This highlights the need to integrate AI education into nursing curricula.
Area of Science:
- Nursing Education
- Artificial Intelligence
- Healthcare Technology
Background:
- Technological advancements predict increased use of artificial intelligence (AI) in nursing education.
- No prior studies have investigated nursing students' awareness or concerns regarding AI and robot nurses.
Purpose of the Study:
- To assess the impact of AI and robot nurse training on nursing students' awareness.
- To determine the effect of this training on students' anxiety levels towards AI.
Main Methods:
- A pre-test post-test quasi-experimental design adhering to STROBE guidelines.
- Data collected from 282 nursing students using the Artificial Intelligence Knowledge Test (AIK) and Artificial Intelligence Anxiety Scale (AIAS).
- Data analyzed using SPSS version 25.0.
Main Results:
- A significant increase in mean knowledge scores regarding AI and robot nurses was observed post-training (p < 0.05).
- Mean scores on the AIAS scale also significantly increased after the training (p < 0.05), indicating heightened anxiety.
- 83.7% of students had prior exposure to AI and robot nurse concepts.
Conclusions:
- Training on AI and robot nurses effectively increased nursing students' knowledge.
- The training also led to a significant rise in students' anxiety towards AI.
- Findings suggest a need to incorporate AI education into nursing curricula to better prepare students for future healthcare technologies.
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