大数据支持下的农村留守儿童学业成绩预警系统研究

Study of Children Left Behind the era of Big Data Academically Warning System

新型城市化建设过程中,农村留守儿童由于缺乏父母的照顾,导致他们在学习发展中存在着不同程度的问题。近年来,针对这类问题,许多学者纷纷提出解决方法,这些措施和方法在一定程度上虽然可以改善留守儿童的学习现状,但是还存着经验性、宏观性和滞后性的问题。随着大数据时代的来临,利用大数据技术提升留守儿童的学习成绩,发挥其个性化、微型化和及时化的优势,可以弥补传统解决措施的不足。文章基于留守儿童的特殊性,提出了一种大数据支持下基于离群数据挖掘的学业成绩预警系统,形成了一套类似气象灾害的红、橙、黄、绿、蓝五级预警表,并对这一系统在实际运用可能遇到的问题进行了剖析。

In the process of new urbanization,the left-behind children in rural areas have different problems in learning and development due to lack of parental care.In recent years,many scholars have proposed solutions to these problems.Although these measures and methods can help improve the learning situation of left-behind children to a certain extent,there are still problems of being empirical,macroscopic and lagging.With the advent of the era of big data,it can fill the failings of the traditional measures to improve the academic achievements of the left behind children by utilizing the big data technology and making full use of its individualized,miniaturized and timely advantages.This paper presents an early-warning system of left-behind children academic achievements based on outlier data mining in big data environment,and forms a five-level warning table marked by red,orange,yellow,green and blue,which is similar to a meteorological disaster warning table.It analyzes the problems which may occur in the practical application of the system.