27 pages, Agricultural extension has shifted towards community-centric, farmer-centered, and participatory approaches that enhance rural change through a social learning lens, resulting in the emergence of the farmer-to-farmer extension model. The purpose of the study was to understand lead farmer selection criteria within the farmer-to-farmer model and their impacts on community social learning. We applied Torraco’s (2005) integrative literature review method to guide our discussion around lead farmer selection processes, types of lead farmers selected and their impacts on social learning. The study indicated farmer-to-farmer extension model has the potential of re-invigorating the provision of agriculture extension services owing to its low cost, reliability, and the potential to be sustainable. However, farmer-to-farmer faces numerous challenges such as a lack of funding, limited community adoption, and acceptance of the system. This study’s findings suggest the farmer-to-farmer approach can be more effective when stakeholders, especially the community is actively involved in designing, implementing, and evaluating the model. The study recommends that practitioners work closely with the community to develop long-term relationships based on trust through intentionality and inviting attitude that respects and values community knowledge.
18 pages, The purpose of this study was to assess the knowledge level of farmers on basic computer literacy, social media use, and to explore which social and demographic factors affected their knowledge capacity. The study had a final sample of 176 participants from the northern, southern and central regions of Trinidad and Tobago. A survey instrument comprising of 14 multiple-choice questions with one accurate response was developed to decrease bias of farmers randomly selecting the accurate response. The questions addressed knowledge on basic computer and social media literacy. Analysis was conducted using one-way ANOVA with post-hoc testing. Results indicated that there were significant differences in farmers’ performance in the knowledge test based on characteristics such as age, education, and household use of social media and the internet. Based on the findings, minimal training in computer and social media literacy did not impede the farmers’ use of the computer or social media. These discoveries highlight the potential of extension programs using the internet and social media applications to improve communication efficiency among agricultural stakeholders within farming communities.