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Artificial intelligence integration and teachers’ self-efficacy in physics classrooms

[Abstract] 
Type Article
ISSN 13058215|13058223
Author Yehya, Fouad M. Saint Joseph University of Beirut (USJ), Beirut, Lebanon.
Second author Elsayary, Areej. Zayed University, Abu Dhabi, UAE.
Al Murshidi, Ghadah. United Arab Emirates University, Abu Dhabi, UAE.
Al Zaabi, Ahmed. General Department of Protective Security and Emergency, Dubai Police, Dubai, UAE.
Pages 12 p.
General Note Peer reviewed
Source EURASIA Journal of Mathematics, Science and Technology Education. Vol. 21, no. 8, 2025
Publisher Eastbourne: [publisher not identified]، 2025
Publisher address odestum LTD, 29 Gildredge Road. Eastbourne, East Sussex, BN21 4RU. United Kingdom. [publisher not identified]. . ejmste@ejmste.com. https://www.ejmste.com/.
Electronic Location Full text (PDF)  PDF
Descriptors Artificial intelligence  -  Science instruction  -  Physics  -  Self efficacy  -  Teaching models
Language of document English
Country United Kingdom
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)

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Cite   (APA) Style Always review your references for accuracy and make any necessary corrections before using:
Yehya, Fouad M.. (2025). Artificial intelligence integration and teachers’ self-efficacy in physics classrooms . EURASIA Journal of Mathematics, Science and Technology Education. Vol. 21, no. 8, 2025. 12 p. Retrieved from search.shamaa.org