APS-056 - Students' acceptance and use of generative AI in pharmacy education: International cross-sectional survey based on the extended unified theory of acceptance and use of technology

• At: Copenhagen (Denmark) (2025)
• Type: Poster
• Poster code: APS-056
• By: ELNAEM, Mohamed (University Of Ulster, United Kingdom)
• Co-author(s): Dr Mohamed Elnaem (University Of Ulster, Coleraine, United Kingdom)
  Dr Betul Okuyan (Marmara University, Istanbul , Türkiye)
  Dr Naeem Mubarak (Lahore University of Biological and Applied Sciences, Lahore, Pakistan)
  Dr Abrar K. Thabit (King Abdulaziz University, Jeddah, Saudi Arabia)
  Mrs Merna Mahmoud AbouKhatwa (Alexandria University, Alexandria, Egypt)
  Dr Diana Laila Ramatillah (Universitas 17 Agustus 1945 Jakarta, , Jakarta, Indonesia)
  Dr AbdulMuminu Isah (University of Nigeria, , Nsukka, Nigeria)
  Dr Ali Azeez Al-Jumaili (University of Baghdad, Baghdad, Iraq)
  Dr Nor Ilyani Mohamed Nazar (International Islamic University Malaysia , Kuantan, Malaysia)
  
• Abstract:

  Introduction
  Generative artificial intelligence (GenAI) represents a transformative technological innovation in higher education, with significant potential implications for pharmacy curriculum and learning processes. This international study aimed to evaluate pharmacy students' acceptance and use of GenAI tools from nine countries using the..

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