Evaluating the Effectiveness of Digital Literacy Programs in Enhancing Farmers' Knowledge in Green Valley Cooperative

Thesis Abstract

The rapid proliferation of digital technologies presents both opportunities and challenges for smallholder farmers, particularly within cooperative settings such as Green Valley Cooperative, where access to and effective utilization of digital literacy remain critical for enhancing agricultural productivity and sustainability. Despite the implementation of digital literacy programs aimed at empowering farmers through improved knowledge of modern farming techniques, market information systems, and financial services, there is limited empirical evidence assessing the actual effectiveness of these interventions. This study seeks to evaluate the impact of digital literacy programs on farmers’ knowledge levels within Green Valley Cooperative, thereby addressing the gap between program delivery and measurable outcomes. The specific objectives include determining the extent of digital literacy acquisition among farmers, assessing the relationship between digital literacy and farmers' knowledge of contemporary agricultural practices, and identifying factors that influence the effectiveness of digital literacy interventions. Employing a mixed-methods research design, this study integrates quantitative and qualitative approaches to generate comprehensive insights. Quantitatively, a cross-sectional survey was conducted with a stratified random sample of 200 farmers from Green Valley Cooperative, selected to represent varying levels of engagement with digital literacy programs. Data collection instruments included a structured questionnaire comprising sections on digital literacy skills, agricultural knowledge, and socio-economic variables. The validity and reliability of the instruments were ensured through pre-testing, expert validation, and Cronbach’s alpha analysis, with a resulting reliability coefficient of 0.85. Qualitative data were gathered through focus group discussions and key informant interviews with cooperative leaders, program facilitators, and experienced farmers to contextualize quantitative findings and explore nuanced perceptions regarding program effectiveness. Data analysis involved descriptive statistics (frequency distributions, means, and standard deviations) to summarize respondents’ characteristics and digital literacy levels. Inferential statistics included multiple regression analysis to examine the influence of digital literacy variables on agricultural knowledge, while ANOVA tests determined differences across demographic groups. Qualitative data were analyzed thematically, utilizing NVivo software, to identify recurrent themes related to barriers, facilitators, and perceptions of digital literacy programs. The anticipated key findings suggest a positive correlation between digital literacy levels and enhanced knowledge of modern farming practices, market information, and financial management. The regression analysis is expected to reveal that variables such as prior education, years of cooperative membership, and access to digital devices significantly predict farmers’ knowledge gains. The qualitative analysis is projected to uncover barriers such as limited infrastructure, low digital skills, and resistance to change, alongside facilitators including peer support, tailored training, and ongoing technical assistance. This research contributes to the existing body of knowledge by providing empirical validation of digital literacy programs’ effectiveness within a cooperative context, explicitly linking digital skills acquisition with tangible agricultural knowledge improvements. It offers policymakers, extension service providers, and cooperative managers concrete evidence to refine program design, foster inclusive access, and tailor interventions to enhance digital competencies among smallholder farmers. The main conclusion underscores that targeted digital literacy initiatives can meaningfully improve farmers' knowledge, which subsequently influences productivity and income. Based on findings, it is recommended that digital literacy programs incorporate continuous training, infrastructure enhancement, and stakeholder engagement to maximize impact. Future research should explore longitudinal assessments and broader geographic settings to validate and extend these findings across diverse agricultural communities.