摘要
以一个网络学习平台数据集为数据源,基于SPSS软件研究分析学习平台中学习者学习行为特征,并给出聚类分析过程.研究分析表明,对数据聚类分析可以直观地区别各类学习者的学习情况,有助于教师动态调整教学方案以满足各类学生对网络学习平台的不同需求,也有助于提高学习者的学习兴趣和效果.
Based on the data set of a network learning platform as the data source, the learning behavior charac-teristics of the learners in the learning platform are analyzed based on the SPSS software, and the process of cluster analysis is also presented. Research and analysis show that the study of data clustering analysis can directly distin- guish between various types of learners, help teachers to dynamically adjust the teaching plan to meet the different needs of various learning platform on the network, but also held to imnrove the learners' interest and effect.
出处
《伊犁师范学院学报(自然科学版)》
2017年第2期73-77,共5页
Journal of Yili Normal University:Natural Science Edition
基金
2015年河南省科技攻关项目(152102210087)
关键词
网络学习平台
层次聚类
K-均值聚类
SPSS
network learning platform
hierarchical clustering
K-means clustering
SPSS