11 pages, This proof-of-concept study explores the innovative application of Large Language Models (LLMs) for qualitative analysis of feedback from an Extension program, addressing the challenge of efficiently analyzing qualitative data. The study juxtaposes traditional human-led qualitative analysis with Artificial Intelligence (AI)-driven techniques, revealing the complementary strengths of human insights and AI efficiency. It underscores the potential of LLMs to enhance qualitative analysis while recognizing the need for human oversight to ensure depth and context accuracy. This research contributes to the fields of program evaluation and data analysis, offering a new paradigm for integrating advanced AI tools in qualitative research.
Wine workshops hosted at local wineries positively impacted the behavior of Iowa wine consumers. Many participants (75%) reported visiting an Iowa winery following the workshop. The percentage of participants consuming Iowa wines increased by 20.6% (p < 0.001) following the workshop. Based on these outcomes, it appears these three hour wine workshops are a very useful opportunity for consumers to be engaged and involved, and to learn about local grapes and wines as well as to improve their behavior toward local products.
11 pages, This research aims to examine the relation between farmer organization and welfare using Propensity Score Matching approach. Numerous prior studies have demonstrated that farmers’ involvement in a producer group significantly affects their income levels, efficiency rates, and the adoption of cutting-edge agricultural technologies. However, there have been few studies on salt farming in Madura Island, despite its status as a primary salt producer in Indonesia. This study focused on examining how the participation of salt farmers in farmer groups, specifically known as the “Traditional Salt Business Group” (or Kelompok Usaha Garam Rakyat [KUGAR] in Indonesian), impacts their agricultural income. In this study, the researchers examined primary data collected through interviews with 115 traditional salt farmers on Madura Island, East Java, Indonesia. Logistic regression analysis revealed three independent variables affecting the decisions of salt farmers, specifically farmer’s latest level of education, salt production in the last season, and the number of their family members. Then, employing a Propensity Score Matching (PSM) approach, the study showed a significant income disparity between salt farmers who were KUGAR members and those who are not. Moreover, the level of education emerged as a key determinant influencing salt farmers’ decisions to join KUGAR. Furthermore, the Indonesian government could intervene by encouraging younger salt farmers to join the producer groups to realize benefits, including improvements in the well-being of salt farmers.
5 pages, Farmers face unique occupational and interpersonal stressors that increase risk for poor physical and mental health outcomes. To educate farmers and their families about these risks, one state’s Family and Consumer Sciences faculty partnered with Agriculture and Natural Resources faculty with input from county agents to develop a series of online educational programs that were delivered as part of the state Agricultural Enhancement Program. Twenty-eight participants completed the pilot project and feedback surveys. Lessons learned include the need to have speakers from farming backgrounds, incorporate health topics that emphasize the connection with farming, and to include engaging visuals.
8 pages, The National Agriculture in the Classroom Organization (NAITCO) is a professional network of state and territory Agriculture in the Classroom programs. Its purpose is to provide national leadership in promoting agricultural literacy with the vision that “agriculture is valued by all” (National Agriculture in the Classroom, Citation2023c, Vision, para. 2). The organization grew out of a task force formed by the U.S. Department of Agriculture (USDA) in 1981 (National Agriculture in the Classroom, Citation2023e). Agricultural literacy is not a new concept. In the late 1980s, the National Research Council of the U.S. National Academy of Sciences established the Agricultural Education in Secondary Schools Committee to examine the status and forecast the future of agricultural education. The impetuses behind this research were the many forces identified by the Council that were challenging American agriculture and education.
6 pages, With most of the student attrition occurring early in undergraduate educational programs (Braunstein et al., 1997) it is necessary to interest and motivate students early on. The demographics of animal science students have shifted to students with minimal background in food producing animals. This presents a unique challenge as the current student population represents a diverse array of backgrounds and prior experiences. As a result, students enroll in undergraduate animal science programs with various expectations for their undergraduate degree and a focus primarily on careers in veterinary medicine. To engage all students, interest and motivation need to be generated. This review will use motivational frameworks as outlined by the self-determination theory, expectancy value theory, and interest, to explain the impact of the proposed solutions. Active learning classroom strategies are linked to increased knowledge compared with traditional, passive classrooms (Wells et al., 2019). Active learning shifts from a traditional teaching model to a student-centered model, which transitions instructors to facilitators of learning. This review summarizes current proposed pedagogies that have been researched in animal science classrooms such as experiential learning, flipped classrooms, hands-on animal experience, undergraduate research experiences, mentorship opportunities, capstone experiences, service-learning experiences, team-based learning, and cooperative learning. The limitations of these proposed pedagogies and the future research needed are also discussed.
13 pages, Dry cow management practices influence on health, welfare and milk production of cows. Poor farmer–cow relationship and negative attitudes of the farmer on humane practices will reduce cow welfare and overall productivity. In this study, farmers’ attitudes on key dry cow management practices and welfare were observed using a questionnaire in a face to face interview with forty dairy farmers in Kandy District, Sri Lanka. Collected data were statistically analyzed using SPSS version 23.0. The majority of the farmers were men (77.5%), whereas small-scale farming (87.5%) with part-time involvement (72.5%) were noticed. Critical risk factors of dry cow welfare such as no higher satisfaction about the industry (74.3%), poor awareness on concept of animal welfare (10%), hoof caring (42.5%), inspection of teats (10%), and deworming (30%) were identified. Male farmers were better than females in welfare-friendly attitudes for health (P = 0.033) and calving management (P = 0.018). Part-time farmers also had a significant impact on welfare positive attitudes towards calving and health management practices (P = 0.038, P = 0.013 respectively). Considerable percentage of farmers were uncertain on (Health management – 10.8%, Housing management – 18.8%, Feeding management – 15.0%, and Calving management – 5.6%) welfare-friendly routine. Hence, we suggest, further improvement to positive welfare attitudes towards dry cow management should be targeted via proper knowledge dissemination and education programs.
