Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Awareness and Attitudes Towards Artificial Intelligence-Generated Study Aids Among Nursing Students in Public and Private Nursing Colleges of Mirpurkhas, Sindh, Pakistan
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Artificial intelligence has swiftly become an important technological advancement in healthcare. Chatbots and other digital learning platforms are increasingly being used to support learning, particularly in relation to clinical decision-making and care delivery processes. Objectives: To assess and describe nursing students' level of awareness and attitudes toward AI-generated study aids at selected public and private colleges of Mirpurkhas. Methods: An analytical cross-sectional design was conducted from September 2025 to December 2025. A total of 210 participants were selected through a stratified random sampling, data were collected via a structured online questionnaire distributed through Google Forms, and SPSS version 27.0 was used for analyzing data in frequency, percentages, mean, and SD while Mann-Whitney test applied to compare total awareness and attitude scores and Spearman’s rank correlation used strength of association between awareness and attitude scores. Results: Out of 210 participants, 56.7% identified as female, and 73.8% were aged 18 to 22. Nursing students had mean scores of 50.39 for awareness and 25.61 for attitudes toward AI-generated study aids, and the total score was 85, which shows a good level of awareness and favorable attitudes. A Spearman’s correlation (rₛ = 0.663, p<0.001) showed a strong positive relationship between awareness and attitude scores. Conclusion: In order to encourage the safe, efficient, and responsible use of AI in both public and private nursing settings, nursing programs must incorporate structured AI education and ethics training. The study concludes that nursing students tend to have a solid understanding and positive attitudes towards AI-generated study aids.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.553 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.444 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.943 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.