远程教育杂志Issue(4)：20-28,9.
学习活动流：一个学习分析的行为模型*
Learning Activity Streams:A Behavior Model for Learning Analytics
摘要
Abstract
As a new realm of the development of e-education, smart education expresses a demand of using technology in in-telligent ways to promote educational revolution and innovation. The achievement of this objective is inseparable from learning analyt-ics. The core of learning analytics is to observe and understand learning behaviors. By investigating the factors (e.g. needs, motiva-tions) which impact these behaviors, and the information (e.g. purpose, personality, context) which is carried by these behaviors, the learning process and learning environment can be optimized. A good behavior model will greatly contribute to collecting, analyzing and understanding above-mentioned information. So the concept of learning activity streams can solve the problems of diversification of learning sources and persistence of learning process which haven’t been considered before. The description model of learning ac-tivity streams is built by learning from description mechanisms of activity streams and contextualized attention metadata. Finally, its practical applications are discussed on the theme of learning context analysis, and demonstrated through two cases of information per-ception and resource push.关键词
学习分析/学习活动流/学习行为/学习情境/智慧教育Key words
Learning analytics/Learning activity streams/Learning behavior/Learning context/Smart education分类
社会科学引用本文复制引用
郁晓华,顾小清..学习活动流：一个学习分析的行为模型*[J].远程教育杂志,2013,(4):20-28,9.基金项目
本文系2011年度华东师范大学优势重点学科/新兴交叉学科博士研究生科研创新项目（编号CX2011017）的部分成果；教育部新世纪人才计划“基于个人数字终端的信息化创新应用研究资源、服务及应用实例”（编号NCET-11-0140）部分成果。 （）
