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首页> 外文期刊>The Journal of Agricultural Education and Extension >Borich needs model analysis of extension agents' competence on climate smart agricultural initiatives in South West Nigeria
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Borich needs model analysis of extension agents' competence on climate smart agricultural initiatives in South West Nigeria

机译:Borich需要模型分析尼日利亚西南部气候智能农业倡议的拓展能力

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Purpose: The need to tackle the problem of inadequacy of advisory services on Climate Smart Agricultural Initiatives (CSAI) rendered by extension agents led this study to determine the competency need of extension agents on CSAI using the Borich needs assessment model.Methodology: Data on importance and competence of tasks associated with CSAI were collected from two-hundred and seventy-seven (277) extension agents and analysed using means, ranks, discrepancy score (DS), weighted discrepancy score (WDS) and mean weighted discrepancy score (MWDS).Findings: The results revealed that although the extension agents rated a lot of the CSAI as important, they were only competent on just few of these initiatives. Furthermore, prominent areas of training needs on CSAI were identified which provided direction on areas of curriculum emphasis for in-service training on CSAI.Practical Implication: The recognition of the major areas of competency needs of extension agents on CSAI has far-reaching implications for curriculum innovation in developing trainings that will enhance their knowledge and capacity in the dissemination of climate change adaptation and mitigation strategies.Theoretical Implication: The study fills the lacuna of scarcity of empirical research studies documenting issues relating to the competence of extension agents on CSAI with particular focus on highlighting the areas of priority training needs especially in the region.Originality/Value: This paper is one of only a few to have pointed out areas of priority competency needs of extension agents on CSAI. This has several implications for educating and training extension agents on climate change issues.
机译:宗旨:应对延伸代理商提供的气候智能农业举措(CSAI)咨询服务不足问题的必要性导致本研究以确定使用Borich需求评估模型的CSAI对CSAI延伸代理的能力。方法:重要性数据与CSAI相关的任务的能力从二百七十七(277)次(277)次(277)次扩展剂中收集,并使用手段,级别,差异评分(DS),加权差异得分(WDS)和均衡差异分数(MWDS)分析。调查结果:结果表明,虽然延伸代理人评价了很多CSAI,但它们只能就这些举措中的少数人竞争。此外,确定了CSAI上培训需求的突出领域,该培训需求提供了关于CSAI课程培训的课程领域的指示。正明意义:对CSAI延伸代理人的主要能力需求的认可具有深远的影响制定培训课程创新,将提高传播气候变化适应和缓解策略中的知识和能力。理论意义:研究填补了实证研究研究的稀缺性稀缺性,记录了与CSAI延伸代理能力有关的问题专注于突出优先考虑的培训领域,特别是在该地区。这对教育和培训延长代理人来说有几种影响气候变化问题。

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