Learning Analytics for Open and Distance Education

Abstract

Learning analytics make use of large datasets in order to improve learning and the environments in which it takes place. Students and educators can use these analytics to review work that has been done in the past, to support current study and to access recommendations for future activities. In the context of open and distance education, analytics are able to draw on information about online learning activity in order to support teachers and to help guide learners. Many of the major learning management systems (LMSs) used to support education worldwide currently have basic-level learning analytics built into them, and new tools are currently under development that will expand the use of analytics within open and distance education.