By Stephen Rowett, on 9 February 2016
I’ve blogged previously about the work that Jisc are doing in the field of learning analytics. Whilst there are some good case studies within the sector, informal conversations have indicated that most institutions are really only at the start of their analytics journey, or even simply keeping a watching brief on how the sector as a whole will act. Where institutions do have systems in place, they are often based on quite limited data sources (typically attendance data, VLE usage or library usage) rather than more holistic data sets covering a range of student experiences.
A comprehensive picture of the current state of play is provided by From Bricks to Clicks: the Potential of Data and Analytics in Higher Education, a Higher Education Commission report which summarises the field and provides recommendations to institutions. A small number of pioneering institutions (Nottingham Trent, Open, Edinburgh) feature heavily as case studies, but the general argument is that universities are generating significant amounts of data about learning but are not yet in a position to use this data to support student success.
At UCL, early discussions around the use of analytics have started. Our retention rates are generally good, but there is a feeling that students may leave their course due to social or economic factors – perhaps living in poor accommodation, feeling isolated, having financial difficulties or commuting into London. We think we might need quite a large dataset to model these parameters (if they can be modelled at all) although it is possible that attendance would be a good proxy for them. Certainly our journey into learning analytics is only just beginning.