摘要
为了根据学生的学习情况和能力水平提供可定制的学习体验,提出了一种基于数据挖掘技术的个性化学习模式,该模式采用协同过滤算法对学生的学习行为进行分词,并为其推荐适合的学习资源和学习方式。实验验证表明,该模式可以有效地提高学生的学习效果和兴趣,同时也有助于教师更好地了解学生的学习情况和需求。
In order to provide customized learning experience according to students’learning situation and ability level,the personalized learning mode based on data mining technology is proposed.This mode uses the collaborative filtering algorithm to segment students’learning behavior and recommend suitable learning resources and learning methods for them.The experimental verification shows that this mode can effectively improve students’learning effect and interest,and also help teachers better understand students’learning situation and needs.
作者
王仡捷
WANG Yijie(Information Technology and Network Management Center,Anhui Open University,Hefei 230022,China)
出处
《安徽开放大学学报》
2023年第3期92-96,共5页
Journal of Anhui Open University
基金
安徽省教育厅2020年度安徽高校自然科学项目(项目编号:KJ2020A1218)。
关键词
数据挖掘
个性化学习
协同过滤算法
data mining
personalized learning
collaborative filtering algorithm
