Unraveling research self-efficacy and concerns as factors associated with psychological distress among nursing scholars in the era of artificial intelligence: a multi-campus survey

Unraveling research self-efficacy and concerns as factors associated with psychological distress among nursing scholars in the era of artificial intelligence: a multi-campus survey

Abstract Background The relentless march of artificial intelligence (AI) has emerged as a formidable catalyst, offering a toolbox of novel tools and methodologies with the potential to revolutionize the very essence of research practices. Objectives To explore the association of levels of research s...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed Hussein Ramadan Atta, Mohamed Zoromba, Hussein M. Magdi, Heba El-Gazar, Shimmaa Mohamed Elsayed, Omnya Sobhy Mohamad El-ayari, Selwan Mahmoud Ibrahim Balha, Alzahraa Abdel Aziz Omar Abdel Rahman, Rasha Salah Eweida
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Nursing
Subjects:
Artificial intelligence
Concerns
Psychological distress
Self-efficacy
Scholars
Online Access:https://doi.org/10.1186/s12912-025-03353-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12912-025-03353-w

Similar Items