Access Without Internet: Evaluating Offline E-Learning Models in Remote Primary Schools

Abstract

This study examines the effectiveness of offline e-learning models in improving access to education in remote primary schools with limited or no internet connectivity. Using a mixed-methods approach, the research combines quantitative survey data from students and teachers with qualitative insights from semi-structured interviews and classroom observations to provide a comprehensive evaluation of learning outcomes, engagement levels, and instructional practices. Probability sampling techniques ensured representative participation, while validated instruments with acceptable reliability coefficients supported data accuracy. Quantitative findings were analyzed using descriptive and inferential statistics with confidence intervals, and qualitative data were examined through thematic analysis to identify recurring patterns and contextual challenges. The results indicate that well-designed offline digital resources enhance student participation, self-directed learning, and academic performance when supported by trained teachers and adequate infrastructure. However, limitations related to device availability, technical maintenance, and teacher preparedness remain significant barriers. The study highlights the importance of integrating pedagogical training, systematic monitoring, and policy support to strengthen offline e-learning implementation. These findings contribute to evidence-based strategies for reducing educational disparities and promoting inclusive learning in underserved rural and remote communities.