This is a pretty good paper. The authors draw on three meta-analyses of learning analytics literature in order to create a framework for describing learning analytics projects. They then apply this framework to four use cases: socal learning analytoics for prediction and for reflection, and individual learning analytics for the same two functions. I think this reading of learning analytics is a bit narrow, and the divisoion between social and individual a bit arbitrary, but the tables produced by the literature search are a valuable reference.
This is the first paper I've posted here from Springer-Nature's SharedIt service (which has been running since 2016). The idea is that authors can share read-only PDFs using access tokens to social media and blogs. That's how I was able to read the paper and how, presumably, you will as well. Does this service provide a sufficient level of access? It's really awkward to read the sideways pages. But it does allow me to cut and paste extracts to use as references in my own work. I don't need an actual copy of the paper, so long as the access token keeps working. The jury is still out.