11 pages, via online journal, Purpose: Educational farms (EFs) serve a number of social and economic functions and are part of the debate about new learning environments, multifunctional agriculture and firm diversification. Through the analysis of a case study, this paper aims to identify strengths and weaknesses, opportunities and threats (SWOT) of EFs and key factors for setting a development strategy.
Design/Methodology/Approach: A direct survey to EFs in Molise region (IT) was implemented during April-May 2017 and results were assessed following a SWOT approach.
Findings: Strong motivation and connection with agritourism activities are strengths of EFs in the region; small size, unskilled staff, lack of structured educational pathways, and limited profitability are the main weaknesses. Farms opportunities come from a territory rich in rural landscapes, environmental resources, and typical food products, and from a growing demand for educational tourism. Obstacles are in the institutional sphere and due to the absence of regional networks. Based on SWOT findings, key factors for EFs development are discussed.
Practical implications: EFs development requires innovative educational and managerial tools, a more concerted and proactive role for multiple stakeholders, and the implementation of a network approach. Study findings solicit actions from public institutions and advisory services to improve farmers’ skills.
Theoretical implications: The paper contributes to the theoretical debate about the need for a multidisciplinary approach in dealing with the analysis of EFs.
Originality/Value: The analysis underlines the importance of internal and external drivers in stimulating farms and institutions to support diversification strategies, rural development and transformation processes in inner areas.
16 pages, via online journal, Purpose: This study elucidates on how faculty supervision support to students during farm placements and other facilitating conditions influence farmer learning in the student-centred university outreach.
Methodology/Design/Approach: Cross-sectional data were collected from a sample of 283 farmers who had previously hosted students of Gulu University in the student-to-farmer university outreach. Structural equation modelling was used to analyse how faculty supervision support to students in combination with other facilitating conditions affect the formation of intentions for learning and actual farmer learning behaviour.
Findings: Faculty supervision support in the student-to-farmer outreach was found to significantly influence formation of intentions for learning (β = 0.380; t = 5.263; P < .01) and actual farmer learning behaviour (β = 0.182; t = 2.081; P < .05).
Practical implications: Faculty supervision support to students is critical to fostering lasting learning relationships in university outreach. Thus, it needs to be a part of the transformation agenda of the higher education sector for improved community linkages and innovation.
Theoretical implications: Empirical data obtained from the context of student-centred university outreach is used to extend the model of facilitating conditions.
Originality/Value: The study addresses how faculty supervision support together with farmers’ perception of student attitudes and the value of the learning content influence farmers’ learning behaviour during university outreach.
