摘要
智慧教学过程中动态生成数据具有多源异构、非完整、关联性强等特征,传统方法难以进行有效采集与存储,建立统一的数据采集规范与存储机制,高效采集与分析过程性数据成为当前智慧教育研究亟待解决的问题。文章基于情境感知技术提出智慧教学数据采集模型,采用用户、任务、位置、时间、设备、基础设施六类信息表示智慧教学情境,基于xAPI规范与Caliper框架从行为、事件、活动、目标四个层面定义动态生成性数据描述框架与云端数据交换机制,解决云端环境下基于教学情境的多源、异构数据采集问题,为建立教育大数据模型和发展教育大数据云服务提供新思路与方法。
The data generated dynamically in smart learning are characterized by heterogeneity,incompleteness and strong correlation. For it is difficult to collect and store those data effectively by using traditional methods, to establish unified norms and storage mechanism of data collection for collecting and analyzing the process data effectively becomes an urgent problem in smart education. This paper builds a model of smart learning data acquisition based on context-aware technology, adopting six types of information including users, tasks, location, time, devices and infrastructure to indicate the context of smart learning. Based on x API specifications and Caliper framework, this paper uses four layers to define the dynamic generation of data description framework and cloud data exchange mechanism in order to solve the problem of multi-source and heterogeneous data acquisition based on teaching situations in the cloud environment, and provide new ideas and methods for establishing a big data model and developing a big data cloud service in education.
作者
王冬青
韩后
邱美玲
凌海燕
WANG Dongqing;HAN Hou;QIU Meiling;LING Haiyan(School of Information Technology in Education, South China Normal University, Guangzhou Guangdong 510631;College of Liberal Arts, South China Normal University, Guangzhou Guangdong 510631)
出处
《电化教育研究》
CSSCI
北大核心
2018年第5期26-32,共7页
E-education Research
基金
国家自然科学基金青年科学基金项目"基于情境感知的智慧教学动态生成性数据采集模型与交互可视分析机制研究"(课题编号:71701071)
教育部人文社会科学研究青年基金项目"‘互联网+’模式下儿童数字阅读行为数据的分析设计与应用"(课题编号:17YJC880032)
关键词
情境感知
智慧课堂
动态生成性数据
数据采集
Context Awareness
Smart Classroom
Dynamically Generated Data
Data Acquisition
