数据挖掘在全科师范生数学核心素养剖析中的应用  

Analysis on the Status Quo of Mathematics Core Accomplishment of Normal School Students Based on Data Mining

作　　者：王从徐 WANG Congxu(School of Education,Chuzhou City Vocational College,Chuzhou Anhui 239000,China)

机构地区：[1]滁州城市职业学院教育学院,安徽滁州239000

出　　处：《佳木斯大学学报（自然科学版）》2022年第3期36-39,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：安徽省高等学校人文社会科学重点研究项目(SK2021A0978)。

摘　　要：信息技术为高校教学提供了崭新的改革方向与智能化手段,为高效精准获知全科师范生数学核心素养现状,使用数据挖掘技术设计核心素养分析子系统,集成于大学生教学智能决策平台。采集师范生的社会背景、学科成绩、学习行为、时间表、课程表等信息,作为数据挖掘的样本存储在系统数据库,数据库使用实体-联系图的方式进行排布;样本预处理后基于ID3决策树算法挖掘师范生的核心素养分类规则,使用A,B,C,D四个等级描述师范生的数学核心素养现状水平。系统测试结果显示,基于ID3决策树算法挖掘全科师范生数学核心素养现状的误差较低,根据决策树分类规则可进一步了解师范生个体在数学方面的不足,针对性优化全科师范生数学核心素养现状。Information technology provides a new reform direction and intelligent means for college teaching.In order to efficiently and accurately understand the current situation of the core literacy of mathematics of general teachers,the core literacy analysis subsystem is designed based on data mining technology and integrated into the intelligent decision-making platform for college students'teaching.Collect the social background,academic performance,learning behavior,timetable,curriculum and other information of normal students,and store them in the system database as data mining samples.The database is arranged by entity-connection graph;the samples are preprocessed and based on ID3 decision-making.The tree algorithm mines the core literacy classification rules of normal students,and uses four levels A,B,C,and D to describe the current level of the mathematics core literacy of normal students.System test results show that based on the ID3 decision tree algorithm,the error of mining the mathematics core literacy status of general normal students is low.According to the classification rules of decision tree,we can further understand the shortcomings of normal students in mathematics,and optimize the status quo of mathematics core literacy of general normal students.

关 键 词：数据挖掘 ID3决策树 全科师范生 核心素养 现状 

分 类 号：N37[自然科学总论] G516[文化科学—教育学]