大数据背景下数字教育资源服务的内涵、特征和模式

Study on Connotation, Characteristics and Mode of Digital Educational Resource Service in Big Data Era

随着移动互联网、云计算、物联网等技术的飞速发展,数据正在快速地增长和累积,大数据时代已经来临。在此背景下,数字教育资源服务也将发展变化。文章通过系统分析数字教育资源服务中的大数据类型,包括学习者生理监测数据、学习环境动态监测数据、学习过程记录数据以及人际网络关联数据,阐述了大数据背景下数字教育资源服务的内涵是借助移动互联网、云计算、物联网等技术,获取学习者、学习环境和学习过程相关数据,通过对这些数据的整合、统计和分析,为用户提供实时、个性化和精准化的服务。由此明确数字教育资源服务的动态性、精准性、关联性以及实时性等四大特征,进而提出基于共建共享、基于群体定位以及个性化追踪等三种数字教育资源服务模式,为改进数字教育资源服务质量提供新的思路。

With the rapid development of mobile Internet, cloud computing and [nternet of things, big data era is around the corner because of the fast growth and accumulation of data. As a result, digital educational resource service develops and changes gradually. This paper firstly analyzes the big data of digital educational resource service, including physiological monitoring data, learning environment monitoring data, learning process data and social network data, and then expounds its connotation, which provides users with real-time, personalized and precise service through acquiring, integrating and analyzing data related to learners, learning environment and learning process with the aid of mobile Internet, cloud computing and Internet of things. Finally, four characteristics of digital educational resource service （dynamics, precision, relevance and timeliness） are clarified, and three digital educational resource service modes （co-construction and sharing, group locating and personalized tracking ） are put forward, which provides new thoughts for improving the quality of digital educational resource service.