A study on the causes of primary school student dropout and its remediation through artificial intelligence-based education

This study aims to examine the causes of primary school student dropout and address them through artificial intelligence-based education, assessing its alignment with students' needs and interests. The research was conducted within a defined scope and setting, utilizing an experimental design involving both an experimental and a control group. The researchers designed the study variables and applied teaching strategies in the experimental group, including learning through play, learning with positive reinforcement support, and learning assisted by digital and visual tools in science lessons for primary school students (From first to sixth grade). The research sample consisted of 50 male and female students from Al-Aziziyah Education Directorate schools, with Al-Abed Primary School as the control group and Shajarat Al-Durr Primary School as the experimental group. The researchers employed essential tools and resources to ensure the success of the experiment and provided recommendations and proposals based on the research findings.