远程教育中在线学习投入与学习绩效关系的实证研究  

Empirical Study of the Relationship Between Online Learning Engagement and Academic Performance in Distance Education

作　　者：龚艺[1] 刘波[1] 谭明杰[1] 李华[1] GONG Yi;LIU Bo;TAN Ming-jie;LI Hua(Information Technology Center, Sichuan Radio and TV University, Chengdu 610073, China)

机构地区：[1]四川广播电视大学信息技术中心,成都610073

出　　处：《成人教育》2018年第6期24-28,共5页Adult Education

基　　金：全国教育科学"十三五"规划2016年度教育部重点课题"基于大数据分析技术的开放大学教育决策支持系统研究与构建";课题批准号为DCA160258

摘　　要：提出了在线学习投入评估模型以及评估模型的具体度量指标,通过聚类K-means算法对国家开放大学样本数据进行聚类分析,结果表明在线学习投入与学习绩效的关系可以分为四种类型。在线学习投入与绩效关系的分类,有利于了解学习者学习投入特征,为开展个性化学习提供支持服务,为学习者提高学习质量提供数据支持和参考依据。This paper puts forward an online learning engagement evaluation model and specific metrics of the evaluation model. From the cluster analysis of sample data of National Open University by clustering K-means algorithm, the results show that the relationship of online learning engagement and academic performance could be divided into four types. The classification of the relationship between online learning engagement and academic performance is helpful to underst and the learners＇ online learning engagement characteristics. It provides support services for developing personalized learning and data support reference to improve learner＇s learning quality.

关 键 词：在线学习投入 K-MEANS算法 远程教育 学习绩效 

分 类 号：G434[文化科学—教育学]