Integration of artificial intelligence in nursing education: a cross-national exploration.

Journal: BMC nursing
Published Date: Aug 5, 2025

Abstract

BACKGROUND: Understanding nurse educators' perceptions of Artificial Intelligence (AI) in education, particularly cross-nationally and considering cultural and exposure influences, remains limited. This study addressed this gap by determining the impact of AI integration in nursing education.

Authors

  • Mohammed Almalki
    College of Nursing, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia.
  • Lailani Sacgaca
    College of Nursing, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia.
  • Petelyne Pangket
    College of Nursing, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia.
  • Eddieson Pasay-An
    College of Nursing, King Khalid University, Abha, Saudi Arabia.
  • Shereen Hussein Deep
    Department of Nursing, Prince Sultan Military College of Health Sciences, Al Amal Dhahran City, 34313, Saudi Arabia.
  • Georgina Maskay
    School of Healthcare Education, Mountain Province State University, Bontoc, Mountain Province, Philippines.
  • Lizy Sonia Benjamin
    College of Nursing, King Khalid University, Abha, Saudi Arabia.
  • Sahar Mahmoud Abdulla Hashim
    College of Nursing, King Khalid University, Abha, Saudi Arabia.
  • Analita Gonzales
    Faculty of Nursing, University of Tabuk, Tabuk City, Saudi Arabia.
  • Rosalyn Rosal
    Research, Planning and Development Center, Virgen Milagrosa University Foundation, Inc., San Carlos City, Pangasinan, Philippines.
  • Maysa Mohsen
    College of Nursing, King Khalid University, Abha, Saudi Arabia.
  • Romeo Mostoles
    College of Nursing, University of Hail, Hail City, Saudi Arabia. rpmostolesjr@gmail.com.
  • Grace Ann Lim Lagura
    College of Nursing, University of Hail, Hail City, Saudi Arabia.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals