高校贫困生贫困指数精准测度系统的设计原理及可靠性分析

Design Principle and Reliability Analysis of the Precise Measurement System of Poverty Index of Poor College Students

利用大数据技术助力贫困生的精准认定是技术发展给高校资助育人工作带来的重要契机。高校资助育人工作向着标准化、系统化、精准化方向发展,贫困生认定的精准化是第一步。文章开展并研发了基于大数据的高校贫困生贫困指数的精准测度系统,介绍了系统设计原理和可靠性检验结果。研究表明,该系统具有较强的可靠性,有助于实现贫困生认定过程中的量化,增强认定过程的高效性和认定结果的精准性。

Using big data technology to help the accurate identification of poor students is an important opportunity for the development of technology to support the education work in colleges and universities.The work of subsidizing education in colleges and universities is developing towards standardization,systematization and precision.The first step is to identify the poor students accurately.This paper develops an accurate measurement system of poverty index of poor college students based on big data,introduces the system design principle and reliability test results.The research shows that the system has a strong reliability,which is helpful to realize the quantification in the identification process of poor students,and enhance the efficiency of the identification process and the accuracy of the identification results.