Refworks Format

A1 Yehya, Fouad M. A2 Elsayary, Areej A2 Al Murshidi, Ghadah A2 Al Zaabi, Ahmed AB The United Arab Emirates (UAE), in its vision 2021 and the UAE centennial 2071 plan, highlights the essential role of artificial intelligence (AI) and technology in shaping a knowledge-based, future-ready society. This study explores the integration of AI in physics classrooms, focusing on secondary education in the UAE. It also investigates the perceptions and self-efficacy of physics teachers regarding the use of AI tools in classroom settings. A qualitative research design was employed to gather in-depth insights from 15 physics teachers across schools in Sharjah, assessing their confidence and readiness for AI integration through the lens of the attitude and value, pedagogical, technical, and social (APTS) model. This model served as the theoretical framework, guiding the exploration of how AI affects teachers’ emotional, behavioral, and cognitive engagement in education. Themes such as teachers’ familiarity with AI, their confidence in implementing AI tools, challenges faced during integration, and the impact of AI on student engagement and learning outcomes were examined. The findings revealed that while the majority of teachers expressed positive attitudes toward using AI technologies, the integration of AI into the teaching of physics remains limited, with challenges including a lack of training, infrastructure, and time. The study recommends incorporating AI training for teachers, both pre-service and in-service, to ensure that educators are prepared to create learning environments that align with the UAE’s vision for a technologically advanced education system. (Published abstract) http://search.shamaa.org/abstract_en.gif OP 12 p. PB Eastbourne [publisher not identified] 2025 PP Eastbourne [publisher not identified] 2025 SN 13058215 SN 13058223 T1 Artificial intelligence integration and teachers’ self-efficacy in physics classrooms [Article] UL http://search.shamaa.org/PDF/Articles/FC/UKEjmste/EjmsteVol21No8Y2025/ejmste_2025-v21-n8_001-012_eng_authsub.pdf Full text (PDF) 1 http://search.shamaa.org/fulltext.gif YR Eastbourne [publisher not identified] 2025