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Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study.

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Title: Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study.
Authors: Yalcinkaya, Turgay1 (AUTHOR) turgayyalcinkaya35@gmail.com, Ergin, Eda2 (AUTHOR), Yucel, Sebnem Cinar3 (AUTHOR)
Source: Teaching & Learning in Nursing. Oct2024, Vol. 19 Issue 4, pe722-e728. 7p.
Subject Terms: *Artificial intelligence, *Nursing education, *Research methodology, *Student attitudes, *College students, *Nursing students, *Educational attainment, Cross-sectional method, Questionnaires, Descriptive statistics
Geographic Terms: Türkiye
Abstract: • Nursing students' attitudes and readiness for AI are crucial for integrating AI in nursing education. • There is a relationship between artificial intelligence attitude and artificial intelligence readiness. • Findings can guide curriculum development to incorporate AI in nursing education effectively. Understanding nursing students' attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. This study aimed to determine nursing students' attitudes towards and readiness for AI. This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 ± 0.62, 3.23 ± 0.82, and 76.93 ± 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p < 0.01). The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum. [Display omitted] [ABSTRACT FROM AUTHOR]
Copyright of Teaching & Learning in Nursing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
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  Data: Exploring Nursing Students&#39; Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Teaching+%26+Learning+in+Nursing%22&quot;&gt;Teaching &amp; Learning in Nursing&lt;/searchLink&gt;. Oct2024, Vol. 19 Issue 4, pe722-e728. 7p.
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  Data: *&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Artificial+intelligence%22&quot;&gt;Artificial intelligence&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Nursing+education%22&quot;&gt;Nursing education&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Research+methodology%22&quot;&gt;Research methodology&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Student+attitudes%22&quot;&gt;Student attitudes&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22College+students%22&quot;&gt;College students&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Nursing+students%22&quot;&gt;Nursing students&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Educational+attainment%22&quot;&gt;Educational attainment&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cross-sectional+method%22&quot;&gt;Cross-sectional method&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Questionnaires%22&quot;&gt;Questionnaires&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Descriptive+statistics%22&quot;&gt;Descriptive statistics&lt;/searchLink&gt;
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  Data: • Nursing students&#39; attitudes and readiness for AI are crucial for integrating AI in nursing education. • There is a relationship between artificial intelligence attitude and artificial intelligence readiness. • Findings can guide curriculum development to incorporate AI in nursing education effectively. Understanding nursing students&#39; attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. This study aimed to determine nursing students&#39; attitudes towards and readiness for AI. This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 &#177; 0.62, 3.23 &#177; 0.82, and 76.93 &#177; 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p &lt; 0.01). The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum. [Display omitted] [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: &lt;i&gt;Copyright of Teaching &amp; Learning in Nursing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.teln.2024.07.008
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: e722
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Nursing education
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Student attitudes
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      – SubjectFull: College students
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      – SubjectFull: Nursing students
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      – SubjectFull: Educational attainment
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      – SubjectFull: Cross-sectional method
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      – SubjectFull: Questionnaires
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Türkiye
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      – TitleFull: Exploring Nursing Students' Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study.
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              M: 10
              Text: Oct2024
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