大数据支持的甘肃省教育精准扶贫科学决策研究

Research on Scientific Decision-making of Educational Precision Poverty Alleviation Supported by Big Data in Gansu Province

以大数据分析为技术手段的精准定位,将会在很大程度上保证扶贫工作的精准精确。甘肃省借助大数据分析技术构建教育扶贫"大数据"应用格局,实现了全省88万教育精准扶贫对象的清单式管理和动态监控,为全面把握教育扶贫现状,实现对象精准识别、决策精准制定、政策精准落实提供了依据。精准识别"因学致贫""缺技术致贫"的扶贫对象,并针对学前教育、基础教育、职业教育等提出了一系列的教育精准扶贫政策,取得了良好的效果。为了发挥大数据所具有的反馈、探索规律、预测等优势,后期将进一步基于大数据的分析反馈、预测与个性化对策的扶贫思维,进行省域内教育致贫原因精准分析、教育精准扶贫动态监管,实现大数据分析与教育精准扶贫的高度耦合,有针对性地引导资金流向、政策导向,对整个系统进行科学决策和规划。

The precise positioning based on big data analytics will greatly ensure the accuracy of poverty alleviation. Gansu province has built big data application pattern of educational poverty alleviation,and realized inventory management and dynamic monitoring of 880 thousand subjects of educational poverty alleviation all over the province, which provides reference for understanding the current situation of educational poverty alleviation comprehensively, identifying the subjects precisely, making decisions accurately and implementing the policy exactly. With big date system of poverty alleviation,the subject,whose poverty is caused by lack of education or technology, can be identified precisely. And a series of precise anti-poverty policies in the light of preschool education, basic education and vocational education have been put forward, which results in satisfactory results. In order to make use of big data technology,based on the poverty alleviation ideas supported by big data-based analysis, feedback, prediction and personalized countermeasures, it is necessary to analyze the reasons of poverty caused by education precisely, to monitor educational poverty alleviation dynamically, to promote the high coupling between big data analysis and educational poverty alleviation, to guide the allocation of the funds and policy-making,and to make scientific decisions and plans for the whole poverty alleviation system.