[1]夏道勋,唐胜男,田星瑜.义务教育优质均衡发展数据分析平台的实现[J].计算机技术与发展,2021,31(07):187-192.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 031]
 XIA Dao-xun,TANG Sheng-nan,TIAN Xing-yu.Implementation of Data Analysis Platform for High-quality and BalancedDevelopment of Compulsory Education[J].,2021,31(07):187-192.[doi:10. 3969 / j. issn. 1673-629X. 2021. 07. 031]
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义务教育优质均衡发展数据分析平台的实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年07期
页码:
187-192
栏目:
应用前沿与综合
出版日期:
2021-07-10

文章信息/Info

Title:
Implementation of Data Analysis Platform for High-quality and BalancedDevelopment of Compulsory Education
文章编号:
1673-629X(2021)07-0187-06
作者:
夏道勋12唐胜男1田星瑜1
1. 贵州师范大学 大数据与计算机科学学院,贵州 贵阳 550025;
2. 贵州省教育大数据应用技术工程实验室,贵州 贵阳 550025
Author(s):
XIA Dao-xun12TANG Sheng-nan1TIAN Xing-yu1
1. School of Big Data and Computer Science,Guizhou Normal University,Guiyang 550025,China;
2. Engineering Laboratory for Applied Technology of Big Data in Education in Guizhou Province,Guiyang 550025,China
关键词:
数据分析数据可视化基于数据的决策义务教育优质均衡发展
Keywords:
data analysisdata visualizationdata-based decision makingcompulsory educationquality and balanced development
分类号:
TP311. 52
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 07. 031
摘要:
中国义务教育正由“均衡发展” 向“优质均衡发展” 转变,引领着义务教育均衡发展向着更高水平推进,统筹教育资源配置,提高义务教育质量。该文根据义务教育优质均衡发展? 的评估要求,构建了基于Spring MVC+MySQL+Spark 架构的县域义务教育优质均衡发展数据分析平台。该平台利用 ETL 技术对大量义务教育相关数据进行抽取、整理和仓储,采用优质差异系数、优质基尼系数和优质均衡指数等分析方法对县域义务教育的资源配置、政府保障程度、教育质量和社会认可度进行综合评价分析,并利用 ECharts+ GIS 技术可视化地呈现出不同辖域下的义务教育优质均衡发展数据分析结果。实现了县域义务教育优质均衡发展的数据采集、数据分析和数据可视化,为各级义务教育管理者提供科学合理的决策支持服务和整改措施,有利于义务教育优质均衡发展的宏观调控和教育公平。
Abstract:
Compulsory education in China is transforming from " balanced development" to " high-quality balanced development" ,leading the balanced development of compulsory education to a higher level, coordinating the allocation of education resources and improving the quality of compulsory education. According to the evaluation require-ments of high-quality and balanced development of compulsory education,we construct the basic Spring MVC+MySQL+Spark framework of data analysis platform of the county compulsory education quality balanced development. The platform uses ETL technology to extract,organize and store a large number of compulsory education relevant data. Using the analysis methods of quality difference coefficient, quality Gini coefficient and quality equilibrium index,we make a comprehensive evaluation and analysis on the resource allocation,government guarantee degree,education quality and social recognition degree of compulsory education in county. And the ECharts+ GIS technology is used to visually present the compulsory education under different jurisdiction of the high - quality and balanced development data analysis results. The data collection, data analysis and data visualization of the high-quality and balanced development of compulsory education in the country is achieved,which provides scientific and rational decision-making support services and rectification measures for administrators of compulsory education at all levels,and is conducive to macro-control and educational equity of the high-quality and balanced growth of compulsory school.

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更新日期/Last Update: 2021-07-10