Learning analytics involve the measurement, collection, analysis and reporting of data about learners and their contexts, in order to understand and optimise learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and institutions around the world are already developing and deploying these new tools. However, it is not enough for us to develop analytics for our educational systems as they are now – we need to take into account how teaching and learning will take place in the future. The current fast pace of change means that if, in 2008, we had begun developing learning analytics for 2018, we might not have planned specifically for learning with and through social networks (Twitter was still in its infancy), with smartphones (the first iPhone was released in 2007), or learning at scale (the term MOOC was coined in 2008). By thinking ahead and by consulting with experts, though, we might have come pretty close by taking into account existing work on networked learning, mobile learning and connectivism. This talk will examine ways in which learning analytics could develop in the future, highlighting issues that need to be taken into account. In particular, the learning analytics community needs to work together in order to develop a strong evidence base grounded in both research and practice.
Preparing for the future
RMIT, Melbourne | 13th March 2018