Integration of artificial intelligence in nursing education: a cross-national exploration
Nurse educators acknowledge AI's educational potential but show diverse perceptions regarding risks, exposure, and cultural impact. Increased AI exposure fosters trust and perceived benefits, highlighting the need for contextualized, culturally-attuned, and exposure-driven AI integration in nursing education.
Authors
- Petelyne Pangket (ORCID: https://orcid.org/0000-0002-6370-0739)
- Analita Gonzales (ORCID: https://orcid.org/0000-0001-6105-0325)
- Lizy Sonia Benjamin (ORCID: https://orcid.org/0000-0002-2373-5021)
- Eddieson Pasay‐an (ORCID: https://orcid.org/0000-0003-1257-3175)
- Romeo Mostoles (ORCID: https://orcid.org/0000-0001-7151-3151)
- Lailani Sacgaca (ORCID: https://orcid.org/0000-0001-8242-3813)
- Grace Ann Lim Lagura (ORCID: https://orcid.org/0000-0002-2890-8032)
- Mohammed Almalki (ORCID: https://orcid.org/0000-0002-5407-4043)
- Sahar Mahmoud Abdulla Hashim
- Maysa Mohsen
- Georgina P. Maskay
- Rosalyn Rosal
- Shereen Hussein Deep
Institutions
- Taif University (SA)
- Instituto de Montañas (US)
- Virgen Milagrosa University Foundation (PH)
- University of Ha'il (SA)
- Dhahran Health Center (SA)
- University of Tabuk (SA)
- King Khalid University (SA)
Publication Details
- Journal
- BMC Nursing
- Published
- 2025-08-05
- DOI
- https://doi.org/10.1186/s12912-025-03689-3
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93
Funders
- Taif University