Aug 2026· The American Journal of Nursing· Vol 126 9, pp.
20-26
· 0 citations· 41 references
Medicine
TL;DR
The findings indicate that the excessive use of AI tools may contribute to cognitive fatigue and mental exhaustion, and can negatively impact foundational cognitive skills such as critical thinking and decision-making.
Abstract
Background
Artificial intelligence (AI) can be beneficial in tailoring learning experiences to each student's learning style, needs, and preferences. But the integration of AI into education has also raised a host of concerns, including AI dependency and brain rot. Thus far, there has been limited research on the relationship between the use of AI and brain rot.
Purpose
This study aimed to explore the relationship between AI dependency and brain rot, specifically among nursing students.
Methods
This mixed-methods study involved undergraduate nursing students at a university in Türkiye. Quantitative data were collected via an online survey that included a sociodemographic questionnaire, the eight-item Brain Rot Scale (BRS-8), and the Dependence on Artificial Intelligence (DAI) Scale. Qualitative data were collected via semistructured interviews. Quantitative data analysis included the use of descriptive statistics, independent samples t tests, one-way analysis of variance, Pearson correlational analysis, and simple linear regression analysis. Qualitative data were analyzed via thematic analysis.
Results
A total of 222 nursing students participated in the quantitative phase and 11 also participated in the qualitative interviews. Of the 222 nursing students in the quantitative phase, 90.1% were female; their mean age was 20.63 years. Quantitative analysis found a moderate, positive, and statistically significant correlation between DAI Scale and BRS-8 scores (r = 0.39). Qualitative analysis indicated that students often relied heavily on AI tools in preparing for or taking examinations, with some reporting that the overuse of AI led to reduced focus and dulled thinking.
Conclusions
This study found a moderate, positive, and statistically significant relationship between AI dependency and brain rot among nursing students. The findings indicate that the excessive use of AI tools may contribute to cognitive fatigue and mental exhaustion, and can negatively impact foundational cognitive skills such as critical thinking and decision-making. It is essential that nursing programs ensure the AI literacy of their students and develop a balance of traditional and AI-related pedagogical strategies that best support students' brain functions and cognitive abilities.
Findings show that nursing students who feel more prepared for AI tend to be less anxious about technology and add AI training more consistently throughout the nursing curriculum and building digital skills may help reduce fear and make it easier for students to use AI tools in the future.
The findings suggest the need for integrating AI into nursing education curricula, with a focus on critical use and the development of students’ professional competencies.
Objective: The adoption of Artificial Intelligence (AI) tools, including platforms like ChatGPT, in educational environments has garnered growing attention, especially among students in healthcare-related programs. While AI presents opportunities to enhance learning efficiency, concerns remain about its influence on st...
Dharmita Yogeshwar (pt), Janvhi Singh (pt), Ajeet Kumar Saharan (pt) et al.· Adolescência e Saúde· 0 citations
The findings underscore the notion that nursing students’ perceptions of artificial intelligence are shaped by a complex interplay of emotional, cognitive, and behavioral factors, which may facilitate the ethical and efficient integration of artificial intelligence into nursing practice.
Eren Sarıtaş, Pınar Çiçekoğlu Öztürk· Sakarya Üniversitesi Holisti...· 0 citations
The findings indicate that nursing students had generally positive levels of AI literacy and attitudes toward AI, and higher AI literacy was associated with more positive attitudes toward AI.
M. Çil, Berna Eren Fidanci, D. Yıldız· Journal of Education and Res...· 0 citations
The findings indicate a significant negative association between AI dependence and achievement motivation, emphasizing the need to consider students' technology usage patterns concerning academic motivation.
Aya M. Nasr, Amira Mostafa Soliman, Nourhan Essam Hendawi et al.· Nurse Education Today· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.