Networked learning for agricultural extension: a framework for analysis and two cases
Article
Article Title | Networked learning for agricultural extension: a framework for analysis and two cases |
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ERA Journal ID | 20662 |
Article Category | Article |
Authors | Kelly, Nick (Author), Bennett, John McLean (Author) and Starasts, Ann (Author) |
Journal Title | Journal of Agricultural Education and Extension: international journal on changes in agricultural knowledge and action systems |
Journal Citation | 23 (5), pp. 399-414 |
Number of Pages | 16 |
Year | 2017 |
Place of Publication | United Kingdom |
ISSN | 1381-2335 |
1389-224X | |
1750-8622 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/1389224X.2017.1331173 |
Web Address (URL) | https://www.tandfonline.com/doi/abs/10.1080/1389224X.2017.1331173 |
Abstract | ABSTRACTPurpose: This paper presents economic and pedagogical motivations for adopting information and communications technology (ICT)-mediated learning networks in agricultural education and extension. It proposes a framework for networked learning in agricultural extension and contributes a theoretical and case-based rationale for adopting the networked learning paradigm.Design/methodology/approach: A review of the literature highlights the economic and pedagogical need for adopting a networked learning approach. Two examples are described to instantiate the language for learning networks: a small community of farmers in India and large Twitter community of Australian farmers.Findings: This paper reviews evidence that successful networked learning interventions are already occurring within agricultural extension. It provides a framework for describing these interventions and for helping future designers of learning networks in agricultural extension.Practical implication: Facilitation of learning networks can serve to achieve efficient agricultural extension that connects farmers across distances for constructivist learning. To realize these benefits, designers of learning networks need to consider set design, social design and epistemic design.Theoretical implication: This paper contributes a theoretical framework for designing, implementing and analysing learning networks in agriculture. It does this by integrating existing ideas from networked learning and applying them to the agricultural context through examples.Originality/value: This paper contributes an understanding of the value of networked learning for extension in terms of economic and pedagogical benefits. It provides a language for talking about learning networks that is useful for future researchers and for practitioners. |
Keywords | extension, networked learning, agriculture |
ANZSRC Field of Research 2020 | 390114. Vocational education and training curriculum and pedagogy |
300202. Agricultural land management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Digital Life Lab |
National Centre for Engineering in Agriculture | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4xq7/networked-learning-for-agricultural-extension-a-framework-for-analysis-and-two-cases
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