Hybrid Learning Effectiveness in Low-Resource African Education Contexts: Evaluating a Community-Based and AI-Supported Delivery Model through the AVELLS Framework

This working paper evaluates the effectiveness of a hybrid learning model in low-resource African education contexts, using the AVELLS (Axton-Vent Ethical Leadership Learning System) framework as the implementation and analysis structure. The study examines how a combination of community-based instruction and AI-supported learning tools can improve educational access, continuity, and foundational learning outcomes in underserved settings. The AVELLS hybrid model integrates face-to-face teaching, structured community learning hubs, and limited AI-supported educational tools to enhance learner engagement and instructional consistency. It is designed to address common challenges in low-resource environments, including limited infrastructure, irregular school attendance, and insufficient access to individualized learning support. This paper focuses on the effectiveness of hybrid delivery mechanisms in improving learner participation, literacy engagement, and learning continuity. It draws on implementation-informed observations and programme monitoring data collected during early-stage deployments, using a mixed-methods approach that includes attendance tracking, participation indicators, facilitator reports, and learner engagement assessments. Findings suggest that hybrid learning approaches can significantly improve continuity of learning, increase learner engagement, and support more consistent participation compared to traditional single-mode delivery systems. The integration of community-based facilitation and AI-supported learning tools also enhances accessibility and reinforces foundational literacy development in underserved contexts. The study highlights the scalability of hybrid learning systems across diverse African education environments, particularly where infrastructure limitations restrict full digital adoption. It further emphasizes the importance of combining human facilitation with adaptive technological support to ensure inclusive and equitable learning outcomes. This work contributes to research in hybrid education systems, AI in education, and African education development by presenting an applied and scalable model for improving learning effectiveness in low-resource contexts.