Leveraging Artificial Intelligence for Enabling Self-Learning in Conflict-Affected Regions: A Framework for Sustainable and Accessible Education

Education in conflict-affected regions is impacted due to population displacement, the destruction of school infrastructure, and the lack of qualified teaching staff. In this context, the integration of artificial intelligence (AI) into self-learning has gained considerable attention, particularly among populations living in such regions. This paper synthesizes findings from existing studies on AI in education and EdTech interventions in humanitarian contexts to adapt a responsive AI self-learning framework. The adaptation is informed by case studies such as Kolibri, Squirrel AI, and the AIED framework by Luckin et al. The proposed framework emphasizes offline functionality and flexible self-learning mechanisms and will guide the practical integration of AI in conflict settings, supporting sustainable and flexible education.