IoT-Informed Maintenance Strategies for School Infrastructure in Kenya: An Evaluation of In-School Management Systems

This study examines the impact of Internet of Things (IoT)-informed maintenance strategies on school infrastructure in Kenya. A mixed-methods approach was employed, including surveys among school administrators and IoT data analysis. The study used statistical modelling to analyse maintenance trends over time. IoT sensors detected an average of 15% more maintenance issues compared to traditional methods, with a significant proportion (40%) of identified problems recurring annually. The IoT systems showed promise in enhancing the efficiency and coverage of school infrastructure maintenance but required further refinement for consistent performance. Schools should prioritise continuous system calibration and expand IoT deployment to cover all critical areas for optimal results. Internet of Things, School Infrastructure Maintenance, Kenya, IoT Management Systems Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.