Cited by 57Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationArtificial Intelligence Applications

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

Yalcinkaya, Turgay, Ergin, Eda, Yucel, Sebnem Cinar·2024·Teaching and Learning in Nursing

Integrity signals

Registry

Crossref · 10.1016/j.teln.2024.07.008

Cites

39 of 39 references verified0 citation errors · 0 not checkable

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Cites

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Authors
Yalcinkaya, T., Ergin, E., & Yucel, S. C.
Affiliations
Sinop University (TR)
Corresponding author
Yalcinkaya, Turgay
Venue
Teaching and Learning in Nursing
Publisher
Elsevier BV
Published
2024-10
Volume
19
Issue
4
Pages
e722-e728
ISSN
  • 1557-2013 (ISSN-L)
  • 1557-3087
OpenAlex
W4401255360
Cited by
57
References
40
Citations by year
2026: 25 · 2025: 27 · 2024: 5
FWCI
5.34
Type
journal article
Language
en
Open access
closed
Locations
  • Teaching and learning in nursing (publishedVersion)
  • DSpace-Sinop (Sinop University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence, nursing students, attitudes toward AI, AI readiness, nursing education, AI integration in curriculum, clinical decision-making, academic year differences

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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