Assessing the Impact of Mobile Learning Platforms on Agricultural Extension Education Engagement

Thesis Abstract

In the context of rapid technological advancement and the persistent need for enhanced agricultural extension services, this study investigates the impact of mobile learning platforms on agricultural extension education engagement among smallholder farmers. Despite widespread recognition of mobile technology as a transformative tool for agricultural knowledge dissemination, empirical evidence assessing its effectiveness in fostering sustained engagement and improving extension outcomes remains limited. This research aims to evaluate the extent to which mobile learning platforms influence the engagement levels of farmers with extension services, thereby contributing to more effective agricultural development strategies. The specific objectives of the study are to (1) measure the level of engagement of farmers with agricultural extension activities facilitated through mobile learning platforms; (2) identify the factors influencing farmers’ adoption and sustained use of these platforms; (3) examine the relationship between platform usage and farmers’ agricultural knowledge, practices, and productivity; and (4) provide policy and practical recommendations for optimizing mobile-based extension interventions. A quantitative research design was adopted, utilizing a descriptive survey methodology. The target population comprises 2,500 registered smallholder farmers within a peri-urban agricultural zone with high mobile penetration rates. A stratified random sampling technique was employed to select a representative sample of 380 farmers, ensuring inclusion across key demographic and agro-ecological strata. Data collection was conducted through structured questionnaires designed to capture variables related to platform usage, engagement behaviors, perceived usefulness, ease of use, and agricultural outcomes. To complement survey data, focus group discussions and key informant interviews were conducted with extension officers and technology providers to contextualize quantitative findings and explore implementation challenges. Validity and reliability of the questionnaire instruments were established through expert review, pilot testing, and calculation of Cronbach’s alpha coefficients, which ranged from 0.78 to 0.85. Data analysis involved descriptive statistics to profile the sample and engagement levels, followed by inferential analyses including multiple regression to identify significant predictors of engagement, and Structural Equation Modeling (SEM) to examine relationships among constructs such as perceived ease of use, perceived usefulness, engagement, and agricultural productivity. The Technology Acceptance Model (TAM) served as the theoretical framework underpinning the analysis, supplemented by the Unified Theory of Acceptance and Use of Technology (UTAUT) to broader interpret adoption patterns. The anticipated findings suggest that mobile learning platform usage significantly correlates with increased engagement in extension activities, improved farmers’ agricultural knowledge, adoption of best practices, and increased yield levels. Factors such as perceived usefulness, ease of use, and social influence are expected to emerge as key determinants of sustained engagement. However, challenges related to digital literacy, connectivity issues, and content relevance may hinder optimal platform utilization. This study contributes to existing knowledge by providing empirical evidence on the role of mobile learning platforms in agricultural extension services, specifically highlighting the pathways through which technological integration influences farmer engagement and productivity. The findings will inform extension policy formulations, training programs, and technology design to enhance adoption and efficacy of mobile-based agricultural education. The research concludes that mobile learning platforms represent a promising avenue for expanding extension outreach but require tailored strategies that address infrastructural and capacity constraints. Recommendations include promoting digital literacy among farmers, developing context-specific content, fostering supportive social networks, and investing in reliable mobile infrastructure. Future research should explore longitudinal impacts of mobile extension interventions and evaluate their cost-effectiveness relative to traditional methods. This study underscores the importance of integrating technological innovations within comprehensive extension frameworks to achieve sustainable agricultural development.