农业互动知识模型:研究人员对西班牙农民知识和信息来源的看法

IF 2.9 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
J. Cruz, L. Albisu, J. Zamorano, S. Sayadi
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引用次数: 7

摘要

摘要目的农业创新意味着研究人员和农民之间的信息共享。承认其他合作伙伴知识的价值是促进农业互动模式的初步步骤。传统上,研究人员的知识占主导地位,而农民的知识被低估了。大量的创新论文关注农民改变其做法的态度、兴趣、认知、障碍或驱动因素。然而,关于研究人员的观点,并没有太多的信息。本文分析了研究者对农民知识和信息来源的认知。设计它基于对156名农业研究人员的调查,这些研究人员大多来自西班牙的公共机构。方法论/方法描述性统计和主成分分析(PCA)侧重于研究人员对农民知识和信息来源的感知。研究结果本文发现,根据研究人员对农民知识和信息来源相关性的看法,研究人员有两种不同的情况。然而,两份简介都认为“自己的经验”是农民知识的高度相关来源。实践启示它根据不同研究人员对农民知识和信息来源的看法,建议如何促进知识共享。理论含义本文根据农业研究者对农民知识和信息来源的感知对他们进行了分类。这种分类丰富了关于农业互动知识模型的讨论。原创性/价值本文关注研究者对农民知识和信息来源的感知。它特别关注多参与者方法以及农民和研究人员知识的整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agricultural interactive knowledge models: researchers’ perceptions about farmers’ knowledges and information sources in Spain
ABSTRACT Purpose Agricultural innovation implies sharing information between researchers and farmers. Acknowledging the value of the other partner’s knowledge is a preliminary step to facilitate agricultural interactive models. Traditionally, researchers’ knowledges have been dominant, and farmers’ knowledges have been underestimated. A large number of innovation papers pay attention to farmers’ attitudes, interests, perceptions, barriers or drivers to change their practices. However, there is not so much information about researchers’ point of view. The present paper analyses researchers’ perceptions about farmers’ knowledges and information sources. Design It is based on a survey of 156 agricultural researchers mostly from public institutions in Spain. Methodology/approach Descriptive statistics and principal component analysis (PCA) focused on researchers’ perceptions of farmers’ knowledges and information sources. Findings This paper finds that there are two distinct profiles of researchers according to their perceptions on the relevance of knowledges and information sources for farmers. However, both profiles shared the view of ‘own experience’ as a highly relevant source for farmers’ knowledges. Practical implications It advises how to promote knowledge sharing according to different researchers’ perceptions of farmers’ knowledges and information sources. Theoretical implications This paper classifies agricultural researchers according to their perceptions of farmers’ knowledges and information sources. This classification enriches the discussion about agricultural interactive knowledge models. Originality/value This paper pays attention to researchers’ perceptions of farmers’ knowledges and information sources. It particularly focuses on multi-actor approaches and the integration of farmers’ and researchers’ knowledges.
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来源期刊
CiteScore
5.00
自引率
28.60%
发文量
30
期刊介绍: The Journal of Agricultural Education & Extension is published to inform experts who do or use research on agricultural education and extension about research conducted in this field worldwide. Information about this research is needed to improve policies, strategies, methods and practices for agricultural education and extension. The Journal of Agricultural Education & Extension accepts authorative and well-referenced scientific articles within the field of agricultural education and extension after a double-blind peer review process. Agricultural education and extension faces profound change, and therefore its core area of attention is moving towards communication, competence development and performance improvement for a wide variety of fields and audiences, most of which can be studied from a multi-disciplinary perspective, including: -Communication for Development- Competence Management and Development- Corporate Social Responsibility and Human Resource Development- Design and Implementation of Competence–based Education- Environmental and Natural Resource Management- Entrepreneurship and Learning- Facilitating Multiple-Stakeholder Processes- Health and Society- Innovation of Agricultural-Technical Education- Innovation Systems and Learning- Integrated Rural Development- Interdisciplinary and Social Learning- Learning, Conflict and Decision Making- Poverty Reduction- Performance Improvement- Sustainable Agricultural Production
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