We faced a problem while teaching activities and experiments in physics due to a lack of imagination and a
good understanding of physical phenomena. Therefore, we used artificial intelligence (AI), especially
simulation experiments, to solve this problem. This study examined the determinants of adopting AI for
teaching physics. It aimed to explore the basic concepts of AI, its various applications in learning physics,
and the benefits and challenges associated with its implementation. The selected studies were analyzed and
synthesized to develop a coherent framework for understanding the different ways of using AI in teaching
physics. Questionnaires were used to determine the extent of students' satisfaction with the use of AI by
answering several questions after this technology was used through simulation to facilitate and simplify the
explanation of physics. The collected data were analyzed using numbers of frequencies and percentages.
The results showed that there was a strong demand and satisfaction with the use of this technology in
explaining the physics lessons. The obtained results showed that the AI had great potential in the world of
education, one of which was in learning physics. AI could also help improve students' understanding and
comprehension skills, with 42% strongly agreeing and 30% agreeing, making the overall approval
percentage 72%. In this study, the percentage between neutral and disagreeing was 28%.