Assessing Agricultural Science Education: A Case Study of Farm Cooperative Training Programs

Thesis Abstract

Enhanced agricultural competitiveness and rural livelihood increasingly depend on effective agricultural science education within farmer-driven training ecosystems. Despite extensive agricultural extension efforts, the quality and relevance of training provided by farm cooperatives remain uneven, with limited alignment to contemporary agro-technology adoption, gender equity, and smallholder resilience. This study investigates how farm cooperative training programs shape agricultural science understanding, skills, and practices among member farmers, uncovering factors that influence learning outcomes and subsequent adoption of improved farming methods. The aim is to assess the effectiveness of agricultural science education delivered through farm cooperative training programs and to identify determinants of successful knowledge transfer and practice change. Specific objectives are to (1) evaluate participants’ cognitive gains in crop science, soil health, pest management, and post-harvest handling; (2) examine changes in practical competencies and production practices among members; (3) analyze the influence of instructional design, trainer qualifications, and participatory learning methods on learning outcomes; (4) assess enabling and hindering contextual factors such as access to inputs, market linkages, gender-inclusive participation, and cooperative governance; and (5) formulate a framework linking training quality to measurable productivity and livelihoods indicators. A convergent mixed-methods design will be employed. The study will be conducted across five regional farm cooperatives servicing 2,500 registered smallholder members in the agro-ecological zones of two districts. A stratified random sample of 600 farmers will be selected for quantitative survey administration, complemented by 40 in-depth qualitative interviews with cooperative leaders, training coordinators, and seasoned extension agents. Data collection will utilize a structured questionnaire measuring knowledge retention in agricultural science, self-reported practice changes, and perceived training quality, alongside documentary evidence from training curricula and attendance records. Qualitative data will be gathered through semi-structured interviews and focus group discussions to capture experiential insights, trainer methodologies, and contextual barriers. Instruments will be validated through content validity index by a panel of agricultural education experts and pre-tested with a pilot sample (n=60). Reliability will be assessed via Cronbach’s alpha for knowledge and practice scales (target ? ? 0.7). Ethical clearance will be obtained, with informed consent and confidentiality assured. Quantitative data will be analyzed using descriptive statistics, paired t-tests to detect knowledge gains, and multiple linear regression to identify predictors of practice change and productivity improvements, controlling for farm size, crop portfolio, and prior training exposure. Thematic analysis will be applied to qualitative transcripts, following Braun and Clarke’s framework, to extract salient patterns on instructional design, participation dynamics, and socio-cultural influences. A triangulation approach will integrate quantitative results with qualitative insights, facilitating a robust interpretation of how training quality translates into adoption of improved agronomic practices. A conceptual model of the training-to-practice pathway will be developed, drawing on human capital theory and social cognitive theory to explain knowledge acquisition, self-efficacy, and behavioral change. Expected findings anticipate that higher-quality instructional design, gender-inclusive participation, and trainer competencies will significantly predict greater knowledge gains and subsequent adoption of improved soil and nutrient management, pest control, and post-harvest handling. It is also expected that cooperative governance and market access facilitate sustained practice change, while resource constraints and limited extension linkages may impede impact. The study will contribute to knowledge by providing empirical evidence on how farm cooperative training affects agricultural science education and real-world agronomic outcomes, and by proposing a diagnostic framework and practical indicators for monitoring and enhancing training effectiveness within producer organizations. Policy and practice implications include recommending standardized training curricula aligned with current best practices, capacity-building for trainers, mechanisms to ensure inclusive participation, and strengthened links between cooperatives, input suppliers, and output markets. The conclusion emphasizes scalable, context-sensitive strategies for integrating agricultural science education into cooperative training programs to improve productivity, resilience, and rural livelihoods. Recommendations for future research include longitudinal tracking of learning retention and expansion to diverse crop systems and regions.