聚类算法对代码仓库中学习者行为特征的研究  

Research on Learner Behavior Characteristics in Code Warehouse Based on Clustering Algorithm

作　　者：张卫丰[1] 陈红英[1] 王庭 周国强[1] 张迎周[1] 王子元[1] ZHANG Wei-feng;CHEN Hong-ying;WANG Ting;ZHOU Guo-qiang;ZHANG Ying-zhou;WANG Zi-yuan(School of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学计算机学院,江苏南京210003

出　　处：《软件导刊》2021年第11期142-147,共6页Software Guide

基　　金：南京邮电大学教改项目(JG00418JX66)。

摘　　要：在大数据时代下,如何利用好教育数据并通过数据挖掘技术挖掘出教育数据中的隐藏价值,是教育工作者面临的问题之一。针对该问题,对代码仓库编程实训平台中的学习者行为特征进行数据挖掘。研究对象为高校参与编程实训的136名学习者的代码仓库,采用聚类分析的教育数据挖掘方法。实验结果表明,通过提交的内容与修改的代码信息可体现出学习者学习状态,从而能尽早发现学习者学习过程中存在的问题,提高其学习效率与成绩。In the era of big data,how to use educational data and dig out the hidden value behind educational data through data mining technology is one of the problems faced by educational data mining workers.In the face of current situation and problems,conducts da⁃ta mining on the behavior characteristics of learners on the code repository-based programming training platform.The research object is the code warehouse of 136 learners in college programming training,using the educational data mining method of cluster analysis.The experimental results show that the submitted content and modified code information can reflect the learning status of the learner,so as to provide good suggestions for improving the learning effect for the learners and educators.

关 键 词：代码仓库 学习者行为 聚类分析 教育数据挖掘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]