ArticleSAGE open nursing
Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.
Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Nurse educators' experiences and perceptions using generative artificial intelligence: a systematic review.BMC medical education · 2026Pooled it
- Artificial intelligence in nursing: a systematic review of attitudes, literacy, readiness, and adoption intentions among nursing students and practicing nurses.Frontiers in digital health · 2025Pooled it
- The role of digital literacy and ethical awareness in nurses' acceptance of Artificial Intelligence: a cross-sectional questionnaire survey.International journal of nursing studies advances · 2026Article
- Nursing students' readiness for and acceptance of artificial intelligence technologies in clinical skills training: A cross-sectional study.International journal of nursing studies advances · 2026Article
- The cognitive and ethical crossroads: a qualitative study of academic integrity, emotional landscapes, and generative AI integration in nursing education.BMC nursing · 2026Article
- Nursing Students' Experiences With Artificial Intelligence: A Qualitative Study on Education, Clinical Practice, and Future Expectations.Journal of evaluation in clinical practice · 2026Article
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Integration of artificial intelligence in nursing education: a cross-national exploration.BMC nursing · 2025Article
- Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study.Nursing reports (Pavia, Italy) · 2025Article
- Artificial Intelligence and Medical Education (2013-2024): A Scopus-Based Bibliometric Analysis.The East African health research journal · 2025Article
- The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students: a single-center cross-sectional survey of western China.Frontiers in public health · 2025Article
- Redesigning Nursing Curricula for Human-AI Collaboration Using a Fifth Industrial Revolution Framework: Discursive Paper.SAGE open nursingReview
- Article
- Bridging Implementation Gaps: The Critical Role of Institutional Ecosystems in AI Integration for Nursing Education.SAGE open nursingArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especially in nursing education, which combines theoretical and practical knowledge. However, challenges such as infrastructural limitations, ethical considerations, and a lack of educator preparedness hinder its widespread adoption in settings with limited access to technology, insufficient funding, and inadequate training opportunities for educators. Aims: This study explores nursing educators' perspectives on integrating AI into academic settings. Methods: Using the Technological Pedagogical Content Knowledge framework, this qualitative study employed a phenomenological approach to understand nursing educators' lived experiences. Data were collected through 14 semistructured interviews and three focus group discussions with 16 participants from three nursing colleges in Bangladesh. Thematic analysis was conducted to identify key insights and trends. Results: Nursing educators recognized the potential of AI tools, such as adaptive learning platforms, virtual simulations, and predictive analytics, to enhance teaching efficiency, personalize learning, and engage students. However, barriers such as insufficient training, infrastructural challenges, and ethical concerns related to data privacy, algorithmic bias, and AI-driven decision making were highlighted. Thematic analysis revealed five major themes: (1) perceived benefits of AI, (2) barriers to AI integration, (3) ethical considerations in AI use, (4) educator readiness and adaptation, and (5) AI as a tool for personalized learning. Many educators expressed a need for professional development and institutional support to effectively integrate AI technologies. Strategies for overcoming these challenges included targeted training programs, ethical guidelines, and addressing disparities in resource distribution. Conclusions: AI holds transformative potential for nursing education, offering opportunities to enhance teaching and learning. However, its effective integration requires addressing educators' readiness, ethical challenges, and resource limitations. These findings underscore the importance of equipping nursing educators with the necessary competencies to prepare future nurses for AI-enhanced clinical environments, thereby bridging education with evolving healthcare practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.