Comparative Analysis of Digital Literacy in Agricultural Education: Urban Versus Rural Students

Thesis Abstract

The rapid advancement of digital technologies has transformed agricultural education, yet the disparity in digital literacy between urban and rural students remains underexplored, potentially impeding equitable access to innovative agricultural practices. This study aims to conduct a comparative analysis of digital literacy levels among urban and rural students enrolled in agricultural education programs. The specific objectives are to assess the levels of digital literacy, identify factors influencing digital skills acquisition, and determine the impact of demographic variables on these levels within the two settings. Anchored in the Technology Acceptance Model (TAM) and Social Cognitive Theory (SCT), the research seeks to understand how environmental and sociocultural factors shape digital literacy in agricultural contexts. Employing a cross-sectional survey research design, the study targeted a population of 1,200 agricultural students from three major institutions—two urban-based and one rural-based—using stratified random sampling to ensure proportional representation. A sample size of 300 students (150 from urban institutions and 150 from rural institutions) was determined through Cochran’s formula to achieve a 95% confidence level and a 5% margin of error. Data collection was conducted through validated questionnaires comprising Likert-scale items measuring various dimensions of digital literacy, including information access, digital skills, and critical evaluation of digital content. To complement quantitative data and deepen understanding, focus group discussions with 30 students (15 from each setting) were conducted, and interview protocols for key educators were also employed. Data analysis involved descriptive statistics to outline the core features of the data, followed by inferential statistical techniques including Analysis of Variance (ANOVA) to compare digital literacy levels across groups. Multiple regression analysis was used to explore the influence of demographic and socio-economic variables, such as age, gender, socio-economic status, and prior exposure to digital tools, on digital literacy scores. Thematic analysis was applied to qualitative data from discussions and interviews to contextualize quantitative findings and uncover nuanced perceptions regarding digital literacy development. It is anticipated that the results will reveal significant differences in digital literacy levels between urban and rural students, with urban students exhibiting higher proficiency across most dimensions. Factors such as access to digital devices, quality of ICT infrastructure, and familiarity with digital content are expected to exert substantial influence on these disparities. The research is expected to contribute novel insights by framing these disparities within theoretical perspectives provided by TAM and SCT, outlining mechanisms through which environmental factors influence digital skills development in agricultural education. The study's findings will highlight critical infrastructural and educational gaps and provide a scientific basis for targeted interventions to bridge the digital divide in agricultural education. The conclusions will emphasize the necessity for tailored digital literacy training programs that address unique contextual challenges faced by rural students. Overall, the study aims to inform policymakers, educators, and stakeholders about strategic ways to enhance digital literacy, thereby facilitating inclusive and innovative agricultural education systems conducive to rural development. Recommendations will include implementing comprehensive ICT infrastructure projects, integrating digital literacy modules into curriculum design, and promoting peer-learning networks to foster digital skills. Furthermore, the research will suggest avenues for future longitudinal and intervention-based studies to examine the effectiveness of such strategies over time, thereby contributing to the scholarly discourse on digital equity and education in agriculture.