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A Model for Prioritization and Prediction of Impact of Digital Literacy Training Programmes and Validation

机译:数字素养培训计划和验证影响的优先排序和预测模型

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The Government of India through its various programmes like Digital India aims to provide digital literacy to all its citizens. Towards this mission, National Digital Literacy Mission and Digital Saksharata Abhiyan conducted various training programmes throughout the country. The authors collected details of 5 lakh participants, who successfully completed the training programme and to learn the quality of the training and identify its impact 30,003 participants were interviewed based on a systematic sampling. This study based on the survey and interview identifies a model to predict and validate the impact of similar Digital Literacy training programmes in India. The various components identified in this study were then ranked based on the participant responses using the analytical hierarchy process. The various constructs identified for assessing the quality of training includes conduct, delivery and content, and perceived value. The impact of training was measured using knowledge gained, comfort level achieved and frequency of usage. To identify the impact of training a simple linear regression technique was also used.
机译:印度政府通过其各种计划(例如“数字印度”)旨在向其所有公民提供数字素养。为了实现这一使命,国家数字素养使命和数字Saksharata Abhiyan在全国进行了各种培训计划。作者收集了50万名参与者的详细信息,这些参与者成功完成了培训计划,并了解了培训的质量并确定其影响力。根据系统的抽样,对30,003名参与者进行了采访。这项基于调查和访谈的研究确定了一个模型,用于预测和验证印度类似数字素养培训计划的影响。然后,使用分析层次结构过程根据参与者的响应对本研究中确定的各个组件进行排名。为评估培训质量而确定的各种结构包括行为,交付和内容以及感知的价值。使用获得的知识,获得的舒适度和使用频率来衡量培训的影响。为了确定训练的影响,还使用了一种简单的线性回归技术。

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