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The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence

Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact...

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Autores principales: Farghaly Abdelaliem, Sally Mohammed, Dator, Wireen Leila Tanggawohn, Sankarapandian, Chandrakala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819298/
https://www.ncbi.nlm.nih.gov/pubmed/36611570
http://dx.doi.org/10.3390/healthcare11010110
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author Farghaly Abdelaliem, Sally Mohammed
Dator, Wireen Leila Tanggawohn
Sankarapandian, Chandrakala
author_facet Farghaly Abdelaliem, Sally Mohammed
Dator, Wireen Leila Tanggawohn
Sankarapandian, Chandrakala
author_sort Farghaly Abdelaliem, Sally Mohammed
collection PubMed
description Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization.
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spelling pubmed-98192982023-01-07 The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence Farghaly Abdelaliem, Sally Mohammed Dator, Wireen Leila Tanggawohn Sankarapandian, Chandrakala Healthcare (Basel) Article Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization. MDPI 2022-12-30 /pmc/articles/PMC9819298/ /pubmed/36611570 http://dx.doi.org/10.3390/healthcare11010110 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Farghaly Abdelaliem, Sally Mohammed
Dator, Wireen Leila Tanggawohn
Sankarapandian, Chandrakala
The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title_full The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title_fullStr The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title_full_unstemmed The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title_short The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence
title_sort relationship between nursing students’ smart devices addiction and their perception of artificial intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819298/
https://www.ncbi.nlm.nih.gov/pubmed/36611570
http://dx.doi.org/10.3390/healthcare11010110
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