摘要
传统教育质量评价系统易受动态指标影响,导致系统的部分功能异常。为此,提出基于大数据挖掘的高职院校教育质量评价系统。硬件部分,设置高速数字信号处理器和C6722B存储芯片;软件部分,利用大数据挖掘技术分析教育质量数据,并设计了教育质量评价的主要功能模块。测试结果表明,该系统的各项功能运行正常,性能良好,可以满足高职院校的教育质量评价需求。
Traditional education quality evaluation systems are susceptible to dynamic indicators,leading to some functional abnormalities in the system.Therefore,a higher vocational education quality evaluation system based on big data mining is proposed.In the hardware part,set up a high-speed digital signal processor and a C6722B storage chip;In the software part,big data mining technology is used to analyze education quality data,and the main function modules of education quality evaluation are designed.The test results indicate that the various functions of the system operate normally and have good performance,which can meet the educational quality evaluation needs of vocational colleges.
作者
唐慧羽
TANG Huiyu(Guangxi Modern Polytechnic College,Hechi Guangxi 547000,China)
出处
《信息与电脑》
2023年第9期63-65,共3页
Information & Computer
基金
广西教育科学“十四五”规划2022年度教育评价改革专项立项课题“基于大数据的高职院校教育质量评从体系的研究与实践”(项目编号:2022ZJY508)。
关键词
大数据挖掘
高职院校
教育质量
评价系统
big data mining
higher vocational colleges
education quality
evaluation system