摘要
目前,教育督导监测评估方法的监测评估结果不准确,为此提出基于大数据分析模型的教育督导监测评估方法研究。该方法充分利用大数据确定监测评估指标,计算评估指标权重,制定评估评语集,完成监测评估方法设计,对教学质量进行评估。实验结果显示,该监测评估方法的计算评估指标权重与实际值较为接近,对学校教育质量的评估结果更加准确。
At present,the monitoring and evaluation results of educational supervision monitoring and evaluation methods are not accurate.Therefore,this paper puts forward the research of education supervision monitoring and evaluation method based on big data analysis model.The method makes full use of big data to determine the monitoring and evaluation indicators,calculate the weight of evaluation indicators,formulate evaluation evaluation evaluation set,complete the design of monitoring and evaluation method,and evaluate the teaching quality.The experimental results show that the weight of the evaluation index calculated by this method is close to the actual value,and the evaluation result of school education quality is more accurate.
作者
刘欢
Liu Huan(Jilin Jianzhu University,Changchun Jilin 130000,China)
出处
《信息与电脑》
2020年第18期253-254,共2页
Information & Computer
基金
吉林省教育科学“十三五”规划督导研究专项课题“基于大数据理论的教育督导监测评估方法研究”(项目编号:DD1918)
吉林建筑大学高等教育教学研究课题“基于用户满意度的高校校企合作绩效评价体系调查分析”(项目编号:CXY201918)。
关键词
大数据分析模型
教育督导
监测指标
big data analysis model
educational supervision
monitoring indicators
