基于探索性和聚类的《高等数学》成绩分析  被引量:1

Analysis of Higher Mathematics Achievement Based on Exploratory and Clustering

在线阅读下载全文

作  者:肖丽利 XIAO Lili(Science and Technology Department of Sichuan University of Arts and Sciences,Dazhou Sichuan 635000,China)

机构地区:[1]四川文理学院科技处,四川达州635000

出  处:《四川文理学院学报》2020年第2期42-46,共5页Sichuan University of Arts and Science Journal

基  金:四川文理学院2019年度科研启动基金“优质均衡视角下达州乡村小规模学校集群化发展机制研究”项目(2019KR013Z).

摘  要:《高等数学》是大学生的基础理论课,成绩是教学效果的重要量化标准.为了了解W高校不同学科学生《高等数学》学习情况并改进培养方案,本文随机选取了理科、工科和文科类学生的《高等数学》平时成绩、卷面成绩和期末成绩作为样本数据,探索性分析这些数据并获得成绩的总体分布情况,并采用聚类分析来对这些数据进行深入研究.旨在充分了解不同学科学生《高等数学》的学习情况,为改进教学方法和课程教学改革指明方向,对教师进行分层教学及因材施教提供一定的参考.Higher mathematics is a basic theoretical course for college students,and the grade is an important quantitative standard of teaching effect.In order to understand the learning situation of higher mathematics and improve the training programs for students of different disciplines in W university,in this paper,we randomly selected the normal grades,roll grades,and final grades of higher mathematics for science,engineering,and liberal arts students as the sample data,and made exploratory analysis of these data and obtained the overall distribution of the results,and used cluster analysis to conduct in-depth research on these data.The purpose of this paper is to fully understand the higher mathematics learning situation of students in different disciplines,to point out the direction for improving teaching methods and curriculum teaching reform,and to provide a certain reference value for teachers to carry out hierarchical teaching and teaching according to their aptitude.

关 键 词:探索性分析 聚类分析 成绩分析 因材施教 

分 类 号:G642[文化科学—高等教育学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象