Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach

Background Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students’ acceptance and anxiety toward these technologies remain underexplored in Middle Eastern contexts. This study extends the Technology Acceptance Model (TAM) by in...

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Veröffentlicht in:	BMC nursing Jg. 24; H. 1; S. 703 - 16
Hauptverfasser:	Mohamed, Mona Gamal, Goktas, Polat, Khalaf, Shimaa Abdelrahim, Kucukkaya, Aycan, Al-Faouri, Ibrahim, Seleem, Ebtisam Abd Elazeem Saber, Ibraheem, Awatef, Abdelhafez, Aya M., Abdullah, Saleh O., Zaki, Hanan Nasef, Nashwan, Abdulqadir J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 01.07.2025 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accreditation Anxiety Artificial intelligence Artificial intelligence and nursing practice Behavioral intention Digital infrastructure Digital literacy Ethics Generative artificial intelligence Human acts Human behavior Influence Medicine Medicine & Public Health Nurse Nursing Nursing education Nursing Management Nursing Research Psychological aspects Students Surveys Technology Acceptance Model Technology adoption Variables Middle East Saudi Arabia Egypt Yemen Nursing education Technology acceptance model Behavioral intention Structural equation modeling Anxiety Artificial intelligence Nurse
ISSN:	1472-6955, 1472-6955
Online-Zugang:	Volltext
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