摘要
针对远程教育存在的学员难以监控、难以评估以及交流互动缺乏等诸多问题,文章探索乡村振兴视野下大数据学习行为分析技术在远程教育中的应用。文章基于农村远程教育现状,采用大数据学习分析技术进行调研,构建了一种基于大数据的学习行为分析模型,模型由数据采集、数据分析、数据应用3个环节组成,通过分析学员的学习行为,预测学员未来的学习趋势,从而开展有针对性的教学活动。文章采用实证分析方法,通过分析对照组干预前后的预测结果,表明基于学习行为分析的预测与干预对学员的学习行为产生积极影响,有助于激发学员的学习兴趣,增强学习动机,促进个性化发展。
In view of many problems existing in distance education,such as students’difficulty in monitoring,evaluation and lack of communication and interaction,this article explores the application of big data learning behavior analysis technology in distance education from the perspective of rural revitalization.The article is based on the current situation of rural distance education,big data learning analysis technology research,built a model of learning behavior analysis based on big data,the model consists of data collection,data analysis,data application three links,through the analysis of students’learning behavior,predict students’future learning trend,so as to carry out targeted teaching activities.Using empirical analysis method to analyze the comparison of prediction results before and after control intervention shows that the prediction and intervention based on learning behavior analysis have a positive impact on students’learning behavior,which can help stimulate learning interest,improve learning motivation and promote personalized development.
作者
胡燕
Hu Yan(Department of Continuing Education,Luoding Open University,Luoding 527200,China)
出处
《无线互联科技》
2022年第9期107-109,共3页
Wireless Internet Technology
基金
云浮市哲学社会科学研究课题,项目编号:2020云社研[14]号。
广东省远程开放教育科研基金项目,项目编号:YJ1815。
关键词
大数据
远程教育
乡村振兴
学习行为
big data
distance education
rural vitalization
learning behavior
