تصميم نظام ذكي SyrianEduRAG للمساعدة في تعلُّم المناهج السورية
Eng. Ola Adel Saleh
Syrian educational environments face several challenges in keeping pace with digital transformation and employing artificial intelligence to serve school curricula. These technologies can be significantly leveraged to empower students in general—and those returning from Western countries in particular—helping them understand Syrian curricula and easily integrate into the national educational system. This study aims to design and implement a Retrieval-Augmented Generation (RAG) system based on pre-analysis to improve interaction with Syrian curricula by developing a smart educational platform trained on textbook content and enabling multi-lingual interaction with it. The system relies on converting educational texts into numerical representations stored in semantic indices, allowing the retrieval of passages relevant to the query and generating appropriate answers in Arabic. Experiments showed a significant decrease in response time and memory consumption, along with good accuracy in answers, making this model a practical step toward effectively and feasibly integrating artificial intelligence into Syrian education.