Comparative analysis of digital literacy in agricultural education among rural and urban students

Thesis Abstract

The rapid proliferation of digital technologies in agricultural education necessitates an understanding of how digital literacy varies between rural and urban student populations to inform targeted educational interventions. Despite widespread recognition of digital literacy as a critical component for modern agricultural practices and innovation, disparities persist due to differential access, exposure, and educational support across demographic settings. This study aims to conduct a comparative analysis of digital literacy levels in agricultural education among rural and urban students, with specific objectives to measure and compare digital literacy skills, identify the contextual factors influencing these skills, and evaluate the impact of digital literacy on students’ agricultural knowledge and practices. The study adopts a cross-sectional descriptive research design grounded in the Social Cognitive Theory (Bandura), which emphasizes the role of environment and self-efficacy in skill acquisition. The population comprises agricultural science students enrolled in tertiary institutions in the Republic of Agraria, numbering approximately 15,000 students, with a stratified random sampling technique selecting a sample of 600 students equally representing rural and urban backgrounds. Data collection instruments include structured questionnaires to measure digital literacy levels, validated through expert review and pilot testing, alongside focus group discussions to explore contextual influences. Quantitative data will be analyzed using Analysis of Variance (ANOVA) to identify differences in digital literacy scores between the two groups, complemented by multiple regression analysis to assess predictors of digital literacy, such as access to technology, socio-economic status, and frequency of digital media usage. Qualitative data from focus groups will be analyzed thematically to explore barriers, motivators, and perceptions related to digital skills development. It is anticipated that the findings will reveal significant disparities in digital literacy levels, with urban students exhibiting higher scores than their rural counterparts, primarily influenced by differential access to digital infrastructure and educational resources. Furthermore, the study expects to identify critical factors that impede or facilitate digital literacy acquisition in rural settings, such as limited internet connectivity and inadequacy of digital training programs. The integration of quantitative and qualitative findings will facilitate a comprehensive understanding of the context-specific factors shaping digital literacy in agricultural education. This research contributes to the existing body of knowledge by highlighting the differences in digital literacy competencies between rural and urban agricultural students and advancing theoretical understanding through empirical evaluation of the Social Cognitive Theory in this context. Additionally, it offers practical insights for policymakers, curriculum developers, and educational stakeholders to design tailored interventions aimed at bridging the digital divide in agricultural education, thereby enhancing the capacity of rural students to effectively utilize digital tools for agricultural innovation and development. The study concludes by recommending the expansion of digital infrastructure in rural regions, incorporation of digital literacy modules into agricultural curricula, and targeted training programs to improve digital skills among rural students. It also suggests directions for further research, including longitudinal studies to assess the impact of digital literacy enhancement programs and exploring digital literacy development among secondary school agricultural students. Overall, this study underscores the importance of equitable access to digital resources in fostering inclusive agricultural education and sustainable rural development.