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Generative AI uses machine learning algorithms to identify patterns from existing data and generate content.In the context of education, generative AI develops new content that follows curriculum features and customizes smart learning experiences.This research is to identify how the quality of smart classroom management processes can affect students' participation in the educational process.The Framework that was used in the research is one of the Frameworks used in teaching, in the College of Medicine and in monitoring its teaching system as a whole.This study fills this knowledge gap by emphasizing the success of smart education and the use of smart technology as critical indicators to ensure the success of the educational process.For its intended objectives, the study was applied to a group of 426 students and 16 teachers.The research approach used in the study is a qualitative approach, which was done Using teacher and student questionnaires, to study the relationship between teachers' beliefs, the characteristics of the educational process, and students' participation in smart learning.Research data were collected, for a period of 3 months, from observation and interviews in the first stage, then a digital questionnaire in the second stage, to study both the effect of using smart learning in accessing the educational process for its desired goals.The results of the correlation analysis showed that students› shared perceptions of connectedness and technology use were unexpectedly linked to students' participation in smart learning systems, and it was an alternative to total reliance on traditional methods of teaching.Which was associated with the quality of smart learning The results of this research have implications for ... Learners and teachers to design comprehensive solutions to improve quality educational activities and academic performance
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Talaat et al. (2024) studied this question.
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