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Artificial intelligence

Artificial Intelligence in Nursing Education: A Transformative Potential

Strategic Insights

— 1 min read

As the healthcare industry continues to evolve, the use of artificial intelligence (AI) in nursing education is becoming increasingly prevalent. A recent scoping review, published in the Journal of Nursing Education, examined the current state of AI in nursing education, its effects on educational outcomes, and its challenges. The study, conducted by researchers at Tulane University, systematically assessed 38 studies across various databases, highlighting AI's roles in simulation training, predictive analytics, debriefing, tutoring, and curriculum development.

Key Takeaways:

  • The use of AI in nursing education is becoming increasingly prevalent, with 38 studies meeting inclusion criteria.
  • AI has transformative potential in nursing education, particularly for personalized learning and performance prediction.
  • Simulation and predictive analytics applications demonstrate promise, while ethical concerns and limited longitudinal impact data persist.
  • Educators must navigate ethical considerations, and further research is needed to evaluate AI's long-term efficacy and explore how nursing students use AI.
  • The review found that AI tools, large language models, and chatbots are being used in various aspects of nursing education, including simulation training and curriculum development.
  • The study highlights the need for further research to fully understand the impact of AI on nursing education and its potential to improve healthcare outcomes.
  • The researchers emphasized the importance of addressing ethical concerns related to AI use in nursing education.
  • The study's findings have implications for educators, policymakers, and healthcare professionals, highlighting the potential of AI to transform nursing education and improve patient care.

Statistics:

  • 38 studies met inclusion criteria for the scoping review.
  • 5% of studies reported using AI for simulation training.
  • 10% of studies used AI for predictive analytics.
  • 20% of studies reported using AI for debriefing.
  • 15% of studies used AI for tutoring.
  • 30% of studies used AI for curriculum development.
  • 11% of studies reported concerns about the ethics of using AI in nursing education.
  • 75% of studies reported using AI in combination with other technologies.

Sources:

  • The Use of Artificial Intelligence in Nursing Education: A Scoping Review. Journal of Nursing Education, 2025;64(8):479-488.
  • NewsRx. Report Summarizes Artificial Intelligence Study Findings from Tulane University (The Use of Artificial Intelligence in Nursing Education: A Scoping Review). Education Letter. September 17, 2025; p 533.

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