Comparative Analysis of Farm Science Education Across Rural Schools' Programs

Thesis Abstract

Across rural school systems, farm science education remains unevenly implemented, yielding disparities in student engagement, practical competencies, and post-school outcomes essential for agricultural livelihoods and rural development. This study addresses the persistent problem of unequal access to high-quality farm science instruction across rural schools, which undermines curriculum alignment with local agricultural contexts and limits students’ readiness for agriproduction careers. The aim is to compare farm science education across rural school programs to identify determinants of instructional quality, resource availability, and student learning outcomes. Specific objectives are (1) to evaluate differences in curricular coverage, instructional time, and availability of practical farming experiences among rural schools; (2) to examine disparities in teacher qualifications, professional development participation, and access to farm-based facilities and equipment; (3) to assess student achievement in farm science knowledge, practical skills, and attitudes toward agriculture; (4) to analyze the relationship between school resources, teacher credentials, and student outcomes; and (5) to propose a leadership and policy framework to harmonize farm science education across rural contexts. The study adopts a cross-sectional comparative design utilizing a mixed-methods approach to triangulate quantitative and qualitative data and strengthen inferences about causal mechanisms in real-world settings. The population comprises 60 rural secondary schools within three agricultural regions, with a stratified random sample of 30 schools selected to reflect diversity in size, remoteness, and resource endowment. Within each school, 2 science teachers with formal farm science specialization and 60 students from grades 10–12 participating in farm science courses are targeted, yielding a total of approximately 120 teachers and 1,800 students. Data collection instruments include (i) a standardized School Farm Education Audit (SFEA) to capture curricular coverage, instructional time, facilities, and equipment; (ii) teacher questionnaires to assess qualifications, professional development, and perceived support; (iii) student assessments comprising a standardized farm science knowledge test (40 items, multiple choice and short answer), a practical skills rubric (10 practical tasks), and a 5-point attitude scale toward agriculture; (iv) classroom observations using a structured protocol to quantify instructional quality and hands-on opportunities; and (v) semi-structured interviews with 18 teachers and 12 school administrators to explore governance, resource allocation, and policy influences. Validity and reliability are established through pilot testing, Cronbach’s alpha for scales (? ? 0.78), inter-rater reliability for observational rubrics (? ? 0.70), and content validity via expert review. Quantitative analyses employ descriptive statistics to profile variances across schools, multivariate analysis of variance (MANOVA) to compare student outcomes across regions, and hierarchical linear modeling (HLM) to account for nested data (students within schools). Regression analyses investigate the relative contributions of teacher qualifications, instructional time, and facility adequacy to student knowledge scores, practical skills, and attitudes. Qualitative data from interviews are analyzed thematically using NVivo, with coding framed by constructivist epistemology and guided by the capability approach to assess how school-level resources enable or constrain student agricultural capabilities. A convergent parallel design enables integration of results to elucid how structural and instructional factors interact to shape learning. Expected findings indicate significant inter-school differences in curricular depth, hands-on opportunities, and student outcomes, with stronger performance associated with higher levels of farm facilities, extended instructional time in farm science, and teachers with formal agricultural training and ongoing professional development. The study contributes to knowledge by offering an empirically grounded framework for diagnosing rural farm science education inequities and by identifying resource configurations and policy levers that optimize learning outcomes. The anticipated conclusion emphasizes the need for targeted investments in farm-based facilities, standardized teacher development programmes, and regionally responsive curricula that reflect local agricultural productivity and sustainability challenges. Recommendations include establishing a minimum farm education resource standard across rural districts, incentivizing specialist qualifications for farm science teachers, developing collaborative networks for shared equipment and field experiences, and advocating for policy reforms that align funding with measurable farm science learning outcomes.