Evidence map›Paper›PMID 40084307›Full record

ArticleCureus2025

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

Areti Tsiara, Vissarion I Bakalis, Aikaterini Toska, Sofia Zyga, John D Stathoulis, Eleni N Albani, Maria Saridi, Constantinos Togas, Michail Agraniotis, Evangelos C Fradelos

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Areti TsiaraPrimary Health Care, University of Thessaly, Larissa, GRC.
Vissarion I BakalisNursing, University of Thessaly, Larissa, GRC.
Aikaterini ToskaNursing, Laboratory of Clinical Nursing, University of Thessaly, Larissa, GRC.
Sofia ZygaNursing, University of Peloponnese, Tripolis, GRC.
John D StathoulisBiomedical Engineering, University of Peloponnese, Sparta General Hospital, Sparta, GRC.
Eleni N AlbaniNursing, University of Patra, Patra, GRC.
Maria SaridiNursing, University of Thessaly, Larissa, GRC.
Constantinos TogasPsychology, Panteion University, Athens, GRC.
Michail AgraniotisNursing, Laboratory of Clinical Nursing, University of Thessaly, Larissa, GRC.
Evangelos C FradelosNursing, Laboratory of Clinical Nursing, University of Thessaly, Larissa, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis 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.

Indexed as

artificial intelligence and educationattitudes and beliefsbachelor’s nursing studentspersonality inventorystudent nurses

Identifiers

PMID40084307
PMCPMC11905614

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.