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Machine learning

Validating Artificial Intelligence in Nursing Education and Practice

Strategic Insights

— 1 min read

A research study published in the Journal of Nursing Education and Practice investigated the validity and reliability of the Nursing Students' General Attitudes Towards Artificial Intelligence Scale (NGAAIS). The study aimed to assess the applicability of the scale in evaluating students' attitudes towards artificial intelligence (AI) in nursing practices. Conducted by researchers at Sirnak University, the study involved 417 undergraduate nursing students and employed various methods to evaluate the scale's validity and reliability.

Key Takeaways:

  • The study demonstrated the content validity of the NGAAIS with a content validity index (CVI) of 0.96.
  • The fit indices obtained through confirmatory factor analysis were found to be acceptable, with a χ²/SD value of 2.49 and fit indices values within acceptable limits (GFI = 0.98, AGFI = 0.99, CFI = 1.00, RMSEA = 0.061, SRMR = 0.057).
  • The factor analysis yielded a 20-item measurement tool comprising four sub-dimensions: Benefits of AI in Nursing (6 items), Risks of AI (8 items), Practical Advantages (4 items), and Willingness to Use (2 items).
  • The Cronbach alpha value was determined to be 0.914, indicating a high level of internal consistency.
  • The research concluded that the NGAAIS is a valid and reliable instrument that can be safely used in nursing science.
  • The study's findings suggest that the NGAAIS can be used to assess students' attitudes towards AI in nursing practices, which is essential for the effective integration of AI-supported health applications into nursing education and practice.

Statistics:

  • 417 undergraduate nursing students participated in the study.
  • The scale demonstrated content validity with a CVI of 0.96.
  • The fit indices obtained through confirmatory factor analysis were found to be acceptable, with a χ²/SD value of 2.49.
  • The Cronbach alpha value was 0.914.

Sources:

  • Nursing Students' General Attitudes Towards Artificial Intelligence Scale (NGAAIS): A Turkish validity and reliability study. Nurse Education In Practice, 2025;88:104574.
  • NewsRx. New Artificial Intelligence Findings from Sirnak University Outlined [Nursing Students' General Attitudes Towards Artificial Intelligence Scale (NGAAIS): A Turkish validity and reliability study]. Journal of Engineering. October 20, 2025; p 1516.

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