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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9819298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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