Educational Material Development with Active Learning for Secondary School Subjects

This work addresses the critical challenge of transforming static educational content into interactive learning experiences in secondary education, with a specific focus on multilingual environments in Sri Lanka. We propose LK-Active- Learner - an AI-driven platform that leverages knowledge graphs and Retrieval-Augmented Generation (GraphRAG) to create contextually relevant, personalized assessment materials in both Sinhala and English. By combining document AI for text extraction, knowledge graph construction, and question generation techniques, our system aims to enhance student engagement and comprehension while supporting educators through automated examination material development. This paper presents the theoretical framework, system architecture, and evaluation methodology for the proposed platform. This research contributes to educaional technology advancement in low-resource languages and offers a scalable framework for supporting active learning strategies in diverse linguistic contexts.