摘要
随着在线教育的发展,各平台积累了大量的在线学习行为数据。如何挖掘在线数据背后巨大的价值,已成为新的研究热点。该文通过收集学生SPOC平台在线行为数据和学生Felder-Silverman学习风格调查表,对所有样本学生和学生学习风格类型方式,开展SPOC平台在线学习行为数据与学生期末考试成绩的关联分析。通过对比研究,不同学习风格类型学生的在线学习行为数据与学生成绩的相关系数有明显变化,数据分析结果为教师决策与学生提高学习效率提供了科学依据。
With the rapid development of online education,a large amount of data has been recorded by the online platform.How to mine the potential value behind the online data has become a new research hotspot.This paper collects the data of online learning behaviors on SPOC and presents the results of the Felder-Silverman learning style model questionnaire completed by students,then according to all sample students and classify students on the basis of their learning style,we conduct the correlation analysis to investigate the relationship between the data of online learning behaviors and the students'final exam grades.After finishing the comparative analysis,the correlations of different type of students have a visible change.The data analysis results offer good scientific preference for teachers'decision making and for students to improve their efficiency.
出处
《科技资讯》
2019年第8期207-209,211,共4页
Science & Technology Information
基金
湖南省教育科学"十三五"规划2017年度课题"基于移动学习行为的学习风格评价模型研究"的阶段性研究成果(项目编号:XJK17BGD008)
关键词
SPOC平台
在线学习行为
学习风格
关联分析
SPOC platform
Online learning behavior
Learning style
Correlation analysis