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培训有效性评估:推进基于柯克帕特里克模型的复合框架
Sudipta Paul1, Rajarshi Roy Burman1, Rahul Singh1
1ICAR, Indian Agricultural Research Institute (IARI), Pusa Campus, New Delhi 110012, India.
Evaluation and program planning
|September 4, 2024
概括
这项研究引入了一项定量协议,以评估农村培训计划的有效性. 调查结果显示,许多计划可能不有效,强调需要改进培训评估.
科学领域:
- 农业扩展 农业扩展
- 项目评价 项目评价
- 农村发展 农村发展
背景情况:
- 评估农民培训计划的有效性对于农业发展至关重要.
- 现有的评估模型可能缺乏适用于不同农村环境所需的稳定性.
- 印度的农民培训中心 (FTC) 需要一种标准化的方法来衡量培训的影响.
研究的目的:
- 为评估农村培训计划的有效性制定一个定量协议.
- 创建一个基于Kirkpatrick模型来衡量培训影响的强大框架.
- 提供标准化指标,用于评估农村环境中的培训有效性.
主要方法:
- 使用指标规范化和主要组件分析开发了一个四维复合框架.
- 估计的指标权重使用主要组件分析和测试的框架灵敏度与等级相关性.
- 通过家庭调查和采访,从1000名随机选择的实习生收集和分析初级数据.
主要成果:
- 农村培训计划的有效性差异很大,估计有25%可能是无效的.
- 训练员的反应对学习有积极的影响,训练结果与行为变化相关.
- 敏感性分析证实了该框架在不同权重方案中的稳定性和可靠性.
结论:
- 拟议的定量协议为评估农村培训计划提供了一种标准化和可靠的方法.
- 该框架通过提供可衡量的培训有效性指标来增强柯克帕特里克的模型.
- 结果可以指导培训组织的政策决策,以改善计划对农民,农场妇女和农村青年的影响.
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