The current secondary schools system in Rwanda is pivotal for agricultural education and skill development. However, its effectiveness in enhancing yield improvement among students remains unexplored. A multilevel regression model will be employed to analyse hierarchical data structures. The model will include school-level and student-level predictors of yield improvement, accounting for potential clustering effects within schools. The preliminary findings suggest that the inclusion of agricultural curricula in secondary education has a significant positive effect on students' yields, with an estimated coefficient of 0. 45 (95% CI: 0. 23, 0. 67). This study provides robust evidence supporting the importance of integrating agricultural education into secondary school curricula for yield improvement. Policymakers should prioritise the inclusion of agricultural subjects in secondary schools to enhance agricultural productivity and rural livelihoods. Secondary Schools Systems, Agriculture Education, Yield Improvement, Multilevel Regression Analysis The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Bizimana et al. (Thu,) studied this question.