Twitter Learning Analytics in R

Abstract

There is presently no literature about the application of learning analytics to student learning activities that use Twitter beyond those describing the Twitter activities themselves and/or student survey feedback about these activities. This paper seeks to address this gap by examining the application of some data visualisation analytics to student activities on Twitter using the R statistics software programme. For those who already use Twitter as a teaching tool it illustrates some useful methods for analysing learner data in order to more effectively use Twitter in their teaching. For those who do not use Twitter in their teaching, they will hopefully still find the descriptions of various ways that Twitter is currently used, and the application of learning analytics informative for their teaching practice.