文献类型：会议论文

英文题名：Constructing an Open Learning Analytics Architecture for an Open University

作者：Xiao, Jun[1];Hoel, Tore[2];Li, XueJiao[3]

机构：[1]Shanghai Open Univ, 288 Guoshun Rd, Shanghai, Peoples R China;[2]Oslo Metropolitan Univ, Pilestredet 46, N-0167 Oslo, Norway;[3]East China Univ Sci & Technol, 130 Meilong Rd, Shanghai, Peoples R China

会议论文集：14th European Conference on Technology Enhanced Learning (EC-TEL)

会议日期：SEP 16-19, 2019

会议地点：Delft Univ Technol, Leiden Delft Erasmus Ctr Educ & Learning, Delft, NETHERLANDS

主办单位：Delft Univ Technol, Leiden Delft Erasmus Ctr Educ & Learning

语种：英文

外文关键词：Online learning; Open Learning Analytics; Open University

摘要：Open learning analytics (OLA) aims to meet diversified needs for insights into different stakeholders' efforts to improve learning and learning contexts integrating heterogeneous learning analytics techniques. From an abstract point of view, OLA aligns well with the ideas of open and distance education institutions, of which Shanghai Open University (SOU) is a learning Chinese representative. The paper reports on the design of an OLA framework for SOU, based on different users' service demands and the diverse sources of data and multiple platforms in use at the university. The proposed architecture is based on a discussion of the general characteristics of OLA architecture. The final model is achieved through an iterative development method.