大数据背景下数字教育资源服务的内涵、特征和模式

发布时间：2018-11-14 08:15

【摘要】：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。
[Abstract]:With the rapid development of mobile Internet, cloud computing, Internet of things and other technologies, data is growing and accumulating rapidly. Big data era has come. In this context, digital education resources services will also develop and change. This paper systematically analyzes the types of big data in digital education resource service, including learner physiological monitoring data, learning environment dynamic monitoring data, learning process recording data and interpersonal network related data. This paper expounds the connotation of digital education resource service under big data's background is to obtain the relevant data of learners, learning environment and learning process with the help of mobile Internet, cloud computing, Internet of things and so on, through the integration, statistics and analysis of these data. To provide users with real-time, personalized and accurate services. From this, four characteristics of digital educational resources service, such as dynamic, precision, relevance and real-time, are defined, and then three kinds of digital educational resource service modes are put forward, which are based on co-construction and sharing, group orientation and individualized tracing. To improve the quality of digital education resources to provide new ideas.
【作者单位】：西南大学计算机与信息科学学院;西南大学教育学部;
【基金】：重庆市研究生教育教学改革研究项目“面向多形态课程的数字资源特征及共享机制——以免师硕士在线课程为例”(项目编号:YJG20163068) 中央高校基本科研业务费专项资金创新团队项目“智慧学习环境研究”(项目编号:XDJK2014A002)
【分类号】：G434

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