摘要
随着在线教育平台的发展,在学生和在线平台的交互过程中产生了大量的学习数据,为教育数据挖掘提供了数据基础。本文以KDD Cup 2010提供的在线学习数据为研究对象,利用协同过滤算法找到待预测学生的K近邻,进而对该学生的答题结果进行预测,取得了理想的效果。
A large amount of learning data is generated during the interactive between the students and online study platforms.The data is captured and stored and consequently used for educational data mining.In this paper,we utilize the collaborative filtering algorithm to find the K nearest neighbours of the test student.The performance of the student will be predicted according to its K nearest neighbours.The experiment is executed on KDD Cup2010data set and shows expected results.
作者
徐丹
路永
于化龙
XU Dan;LU Yong;YU Hua-long(School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003;Department of Technology and Informationization,Public Security Bureau of Xuzhou,Xuzhou Jiangsu 221000)
出处
《科技视界》
2018年第30期52-55,共4页
Science & Technology Vision
基金
江苏科技大学高等教育科学研究课题(GJKTY201624)
江苏科技大学研究生教育教学改革研究与实践课题(YJG2016Y_12)
关键词
协同过滤
教育数据挖掘
学习结果预测
Collaborative filtering algorithm
Educational data mining
Student performance prediction
