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September 2, 2026JMIR NursingOpen Access

AI Use, Perceptions, and Perceived Impact Among Nursing Students: Cross-Sectional Study

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Authors

ITIlda TakaEHElona HasallaASAlbana Sula

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Overview

Cross-sectional study finds widespread artificial intelligence adoption for coursework among nursing students, indicating a need to integrate critical AI training into curricula.

Key Points

  • To assess the extent of artificial intelligence adoption among nursing students and examine their perceptions regarding its impact on academic learning and professional development.
  • Conducted a descriptive cross-sectional survey among undergraduate and graduate nursing students (N=279) at the Faculty of Medical Technical Sciences in Elbasan, Albania.
  • Administered a structured questionnaire using Google Forms to evaluate AI utilization, perceived educational utility, and concerns regarding professional competencies.
  • Analyzed factors associated with AI adoption using bivariate chi-square tests and multivariable logistic regression to compute crude and adjusted odds ratios (AORs) with 95% confidence intervals.
  • Overall, 83.9% (234/279) of students reported using AI tools, predominantly virtual assistants such as ChatGPT (78.2%, 183/234), most commonly for information retrieval (92.3%, 216/234) and studying lecture content (41.0%, 96/234).
  • Multivariable analysis identified grade point average as the sole independent predictor of AI use, with higher odds observed among students with GPAs of 6.0-6.9 (AOR 5.55, 95% CI 1.53-20.14; P=.009) and 8.0-8.9 (AOR 5.73, 95% CI 1.26-26.00; P=.02).
  • Students rated AI as having a moderate impact on understanding lectures (mean 2.58, SD 1.10) but low impact on empathy (mean 1.90, SD 1.12), with prominent concerns regarding information reliability (mean 3.18, SD 1.22) and critical thinking deterioration (mean 2.80, SD 1.18).

Cite This Study

Taka et al. (2026) studied this question.

synapsesocial.com/papers/6a97e2eac562ede874ec7590https://doi.org/10.2196/97832
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