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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Related Experiment Videos

Nurse educators' experiences integrating artificial intelligence in teaching and practice: A descriptive

Mohammed Bien M Kulintang1, Andrew D Ngo2, Christian Joy C Salas3

  • 1Department of Nursing Administration and Education, College of Nursing, Shaqra University, Dawadmi, Riyadh, Saudi Arabia; College of Nursing, University of the Immaculate Conception, Bankerohan, Davao City, Philippines.

Nurse Education Today
|February 26, 2026
PubMed
Summary

Nurse educators are integrating artificial intelligence (AI) into nursing education, transforming teaching and learning. Responsible AI adoption requires faculty training, ethical guidelines, and institutional support for effective integration.

Keywords:
Artificial IntelligenceDigital PedagogyEthicsNurse EducatorsNursing EducationPhenomenology

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Area of Science:

  • Nursing Education
  • Educational Technology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly influencing nursing education, impacting teaching, student engagement, and clinical learning.
  • Limited research exists on nurse educators' experiences with AI integration, especially in the Philippines.

Purpose of the Study:

  • To explore nurse educators' lived experiences integrating AI in classroom and clinical settings.
  • Focus on adaptation, benefits, ethical considerations, and evolving professional roles.

Main Methods:

  • Descriptive phenomenological study using Husserlian philosophy.
  • Purposive sampling of 13 nurse educators from Philippine nursing schools.
  • Semi-structured interviews analyzed via Colaizzi's seven-step method; trustworthiness ensured through established techniques.

Main Results:

  • Six emergent themes: AI adoption, pedagogical transformation, identity shifts, adaptive practices, ethical stewardship, and human-technology partnership.
  • Educators view AI as transformative, enhancing efficiency and personalized learning, but stress the need for institutional readiness and faculty development.
  • Perceived benefits include improved teaching efficiency, personalized learning, and student engagement, alongside role evolution.

Conclusions:

  • AI integration redefines nursing education, promoting innovation, adaptability, and reflective teaching.
  • Responsible AI adoption requires human-centered strategies, ethical safeguards, and organizational support.
  • Structured AI policies, faculty training, and alignment with nursing values are crucial for effective AI-enhanced pedagogy.