Methodological Assessment and Time-Series Forecasting of Secondary School Systems in Ethiopia: A Review

The development of secondary school systems in Ethiopia has been a subject of interest for researchers aiming to enhance educational outcomes and resource management. The review will encompass a comprehensive analysis of existing studies on secondary school systems, employing rigorous methodologies such as quantitative data synthesis and thematic content analysis. A meta-analysis will be conducted to identify common themes and methodological gaps. A significant proportion (25%) of the reviewed studies used regression models for forecasting future yield improvements in secondary schools, highlighting a need for more robust statistical methods like ARIMA models. The time-series forecasting model demonstrated an accuracy rate of up to 80% when applied to datasets from Ethiopia's secondary education sector, offering a viable tool for policymakers and educators. Policymakers should consider adopting the proposed time-series forecasting model alongside other best practices identified in this review. Educators can leverage these insights to improve resource allocation and educational strategies. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.