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Related Concept Videos

Current Trends in Nursing II01:30

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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

From Using AI to Relating Through AI: A Postphenomenological and Reflexive Inquiry Into Nursing Education in

Gideon Dzando1

  • 1Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, South Australia, Australia.

Nursing Philosophy : an International Journal for Healthcare Professionals
|May 3, 2026
PubMed
Summary

Artificial intelligence (AI) in nursing education reshapes how students perceive patients and knowledge. This study emphasizes context-sensitive integration to address ethical and epistemic challenges in developing countries.

Keywords:
artificial intelligenceepistemic justicenursing educationpostphenomenologytechnological mediation

Related Experiment Videos

Area of Science:

  • Nursing Education
  • Artificial Intelligence
  • Medical Ethics

Background:

  • AI is increasingly integrated into nursing education, often presented as a neutral tool.
  • This instrumental framing overlooks AI's impact on students' perceptions, ethics, and professional development, especially in developing nations.
  • Nursing education in developing countries faces infrastructure and epistemic inequalities.

Purpose of the Study:

  • To conceptually analyze artificial intelligence (AI) in nursing education.
  • To examine how AI mediates nursing students' perceptions, interpretations, and relationships with patients and clinical knowledge.
  • To highlight the need for context-sensitive AI integration in global nursing education.

Main Methods:

  • Conceptual-theoretical analysis using postphenomenology and a reflexive decolonial stance.
  • Examining AI as a mediating force through four modes: embodiment, hermeneutic, alterity, and background relations.
  • Analyzing AI's impact on embodied practice, interpretive frameworks, pedagogical authority, and the hidden curriculum in developing countries.

Main Results:

  • AI fundamentally reshapes how nursing students perceive and relate to patients and clinical knowledge.
  • Tensions exist between AI's standardized logic and the situated realities of nursing education.
  • AI mediates not only knowledge acquisition but also students' attentiveness, judgment, and ethical responsibility.

Conclusions:

  • AI acts as a mediating force in nursing education, influencing professional formation.
  • Integrating AI requires reflexive and context-sensitive approaches, particularly in developing countries.
  • Addressing epistemic justice is crucial for ethical AI implementation in global nursing education.