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WFM / MEJFM October 2024

Artificial Intelligence in Nursing Education


Latifah Alenazi

PhD Student, College of Nursing, King Saud University

Correspondence:
Latifah Alenazi,
PhD Student, College of Nursing, King Saud University,
Riyadh, Saudi Arabia;
Email: 443203341@student.ksu.edu.sa

Received: August 2024. Accepted: September 2024; Published: October 1, 2024.Citation: Latifah Alenazi. Artificial Intelligence in Nursing Education. World Family Medicine. October 2024; 22(9): 13-17. DOI: 10.5742/MEWFM.2024.95257818


Abstract


This study uses a quantitative research design and regression analysis to examine the impact of artificial intelligence (AI) integration on nursing students’ attitudes and academic performance. A sample of 300 nursing students was surveyed to identify key factors influencing their acceptance and use of AI technology in their education. Results revealed that technological proficiency and positive attitudes toward AI significantly predicted improved academic performance using AI. These findings have significant practical implications for curriculum development in nursing education, emphasizing the importance of integrating AI and enhancing students’ technological skills.


Keywords: Artificial Intelligence, Nursing Education, Technological Proficiency, Academic Performance, Regression Analysis





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