The Role of Personality Traits in Nursing Students’ Attitudes Toward Artificial Intelligence

This study assesses nursing students' attitudes toward artificial intelligence (AI) and examines the role of personality traits in shaping these attitudes. Methods: A cross-sectional study was conducted in which 159 nursing students from the University of Thessaly participated. Data were collected using the General Attitudes Toward Artificial Intelligence Scale (GAAIS) to measure attitudes toward AI and the Ten Item Personality Inventory (TIPI) to assess personality traits. Statistical analysis included descriptive and inferential methods, such as correlation and factor analysis. The significant level was set to p<0.05. Results: The findings revealed moderately positive attitudes toward AI (mean positive attitude score: 3.22 out of 5). Extraversion and openness to experience were positively correlated with positive attitudes, while maternal education was significantly associated with lower negative attitudes. Conclusion: Nursing students demonstrate a cautious optimism toward AI, with personality traits and education playing a key role in shaping their perceptions. Addressing concerns about AI through targeted educational programs could enhance students' confidence and willingness to adopt AI in their professional practice. These findings emphasize the importance of integrating AI into nursing curricula to bridge knowledge gaps and promote the effective use of AI technologies in healthcare.

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Publication Details

Journal
Cureus
Published
2025-02-11
DOI
https://doi.org/10.7759/cureus.78847
Citations
4
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
9.23
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article

The Role of Personality Traits in Nursing Students’ Attitudes Toward Artificial Intelligence

Vissarion Bakalis, Eleni Albani, Εvangelos C. Fradelos, John Stathoulis et al.
4 citations
Cureus
Personality Traits and Psychology
9.23
article

The Role of Personality Traits in Nursing Students’ Attitudes Toward Artificial Intelligence

Vissarion Bakalis, Eleni Albani, Εvangelos C. Fradelos, John Stathoulis, Maria Saridi, Constantinos Togas, Aikaterini Toska, Sofia Zyga, Areti Tsiara, Michail Agraniotis
article en
4 citations

Abstract

This study assesses nursing students' attitudes toward artificial intelligence (AI) and examines the role of personality traits in shaping these attitudes. Methods: A cross-sectional study was conducted in which 159 nursing students from the University of Thessaly participated. Data were collected using the General Attitudes Toward Artificial Intelligence Scale (GAAIS) to measure attitudes toward AI and the Ten Item Personality Inventory (TIPI) to assess personality traits. Statistical analysis included descriptive and inferential methods, such as correlation and factor analysis. The significant level was set to p<0.05. Results: The findings revealed moderately positive attitudes toward AI (mean positive attitude score: 3.22 out of 5). Extraversion and openness to experience were positively correlated with positive attitudes, while maternal education was significantly associated with lower negative attitudes. Conclusion: Nursing students demonstrate a cautious optimism toward AI, with personality traits and education playing a key role in shaping their perceptions. Addressing concerns about AI through targeted educational programs could enhance students' confidence and willingness to adopt AI in their professional practice. These findings emphasize the importance of integrating AI into nursing curricula to bridge knowledge gaps and promote the effective use of AI technologies in healthcare.

CureusVol. 17(2)
University of Thessaly (GR), University of Peloponnese (GR), Panteion University (GR), Patliputra University (IN), University of Pattimura (ID), University Hospital of Larissa (GR), Technological Educational Institute of Thessaly (GR)
Gender equality
Openalex Percentile: Top 3%
Personality Traits and Psychology
9.23
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