摘要
学生评价体系是保证教育质量的重要手段,能够促进教育改革,提高教育质量,对教育发展具有重要的影响。分析学生成绩对评教结果的影响,以及对评教结果进行研究和评价,能够为教师和教育管理部门提供指导,进一步提高教育管理水平和质量。教育评价研究是教育领域的三大研究方向之一,评教对于提高教学质量具有重要的参考意义,为促进教学改革提供了重要依据。基于此,探讨了基于大数据的数据挖掘算法在多维度评教模型中的应用。
Student evaluation system is an important means to ensure the quality of education.It can promote the reform of education,improve the quality of education,and have an important impact on the development of education.The analysis of the influence of students'performance on the evaluation results,as well as the research and evaluation of the evaluation results,can provide guidance for teachers and education management departments,and further improve the level and quality of education management.The research of education evaluation is one of the three research directions in the field of education.The evaluation of teaching has an important reference significance for improving the quality of teaching and provides an important basis for promoting the reform of teaching.Based on this,this paper discusses the application of data mining algorithm based on big data in multidimensional evaluation model.
作者
郑志材
Zheng Zhicai(Guangdong Business and Technology University,Zhaoqing Guangdong 526040,China)
出处
《信息与电脑》
2020年第1期50-51,共2页
Information & Computer
基金
广东省普通高校特色创新项目(自然科学)“大数据下的数据挖掘算法在多维度评教模型中的应用研究”(项目编号:2017GKTSCX110)
关键词
数据挖掘
多维度评教模型
应用
data mining
multi-dimensional evaluation model
application